06-hafta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b30c067f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c794005a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>8/6/1993</td>\n",
       "      <td>12:42 PM</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>3/31/1996</td>\n",
       "      <td>6:53 AM</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>4/23/1993</td>\n",
       "      <td>11:17 AM</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>3/4/2005</td>\n",
       "      <td>1:00 PM</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1/24/1998</td>\n",
       "      <td>4:47 PM</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11/23/2014</td>\n",
       "      <td>6:09 AM</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1/31/1984</td>\n",
       "      <td>6:30 AM</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>5/20/2013</td>\n",
       "      <td>12:39 PM</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>4/20/2013</td>\n",
       "      <td>4:45 PM</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>5/15/2012</td>\n",
       "      <td>6:24 PM</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender  Start Date Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male    8/6/1993        12:42 PM   97308    6.945   \n",
       "1       Thomas    Male   3/31/1996         6:53 AM   61933    4.170   \n",
       "2        Maria  Female   4/23/1993        11:17 AM  130590   11.858   \n",
       "3        Jerry    Male    3/4/2005         1:00 PM  138705    9.340   \n",
       "4        Larry    Male   1/24/1998         4:47 PM  101004    1.389   \n",
       "..         ...     ...         ...             ...     ...      ...   \n",
       "995      Henry     NaN  11/23/2014         6:09 AM  132483   16.655   \n",
       "996    Phillip    Male   1/31/1984         6:30 AM   42392   19.675   \n",
       "997    Russell    Male   5/20/2013        12:39 PM   96914    1.421   \n",
       "998      Larry    Male   4/20/2013         4:45 PM   60500   11.985   \n",
       "999     Albert    Male   5/15/2012         6:24 PM  129949   10.169   \n",
       "\n",
       "    Senior Management                  Team  \n",
       "0                True             Marketing  \n",
       "1                True                   NaN  \n",
       "2               False               Finance  \n",
       "3                True               Finance  \n",
       "4                True       Client Services  \n",
       "..                ...                   ...  \n",
       "995             False          Distribution  \n",
       "996             False               Finance  \n",
       "997             False               Product  \n",
       "998             False  Business Development  \n",
       "999              True                 Sales  \n",
       "\n",
       "[1000 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df=pd.read_csv(\"resources/resources/employees.csv\")\n",
    "emp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ff75b81a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   First Name         933 non-null    object \n",
      " 1   Gender             855 non-null    object \n",
      " 2   Start Date         1000 non-null   object \n",
      " 3   Last Login Time    1000 non-null   object \n",
      " 4   Salary             1000 non-null   int64  \n",
      " 5   Bonus %            1000 non-null   float64\n",
      " 6   Senior Management  933 non-null    object \n",
      " 7   Team               957 non-null    object \n",
      "dtypes: float64(1), int64(1), object(6)\n",
      "memory usage: 62.6+ KB\n"
     ]
    }
   ],
   "source": [
    "emp_df.info() #df hakkında genel bilgileri verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2c7ea1d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1993-08-06\n",
       "1     1996-03-31\n",
       "2     1993-04-23\n",
       "3     2005-03-04\n",
       "4     1998-01-24\n",
       "         ...    \n",
       "995   2014-11-23\n",
       "996   1984-01-31\n",
       "997   2013-05-20\n",
       "998   2013-04-20\n",
       "999   2012-05-15\n",
       "Name: Start Date, Length: 1000, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(emp_df[\"Start Date\"]) # Bir alana datetime türüne dönüştürme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3722877f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>12:42 PM</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>6:53 AM</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>11:17 AM</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>1:00 PM</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>4:47 PM</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>6:09 AM</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>6:30 AM</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>12:39 PM</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>4:45 PM</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>6:24 PM</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06        12:42 PM   97308    6.945   \n",
       "1       Thomas    Male 1996-03-31         6:53 AM   61933    4.170   \n",
       "2        Maria  Female 1993-04-23        11:17 AM  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04         1:00 PM  138705    9.340   \n",
       "4        Larry    Male 1998-01-24         4:47 PM  101004    1.389   \n",
       "..         ...     ...        ...             ...     ...      ...   \n",
       "995      Henry     NaN 2014-11-23         6:09 AM  132483   16.655   \n",
       "996    Phillip    Male 1984-01-31         6:30 AM   42392   19.675   \n",
       "997    Russell    Male 2013-05-20        12:39 PM   96914    1.421   \n",
       "998      Larry    Male 2013-04-20         4:45 PM   60500   11.985   \n",
       "999     Albert    Male 2012-05-15         6:24 PM  129949   10.169   \n",
       "\n",
       "    Senior Management                  Team  \n",
       "0                True             Marketing  \n",
       "1                True                   NaN  \n",
       "2               False               Finance  \n",
       "3                True               Finance  \n",
       "4                True       Client Services  \n",
       "..                ...                   ...  \n",
       "995             False          Distribution  \n",
       "996             False               Finance  \n",
       "997             False               Product  \n",
       "998             False  Business Development  \n",
       "999              True                 Sales  \n",
       "\n",
       "[1000 rows x 8 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"Start Date\"]=pd.to_datetime(emp_df[\"Start Date\"]) #değişikliklerin kalıcı olması için\n",
    "emp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a844a693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas    Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry    Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "    Senior Management                  Team  \n",
       "0                True             Marketing  \n",
       "1                True                   NaN  \n",
       "2               False               Finance  \n",
       "3                True               Finance  \n",
       "4                True       Client Services  \n",
       "..                ...                   ...  \n",
       "995             False          Distribution  \n",
       "996             False               Finance  \n",
       "997             False               Product  \n",
       "998             False  Business Development  \n",
       "999              True                 Sales  \n",
       "\n",
       "[1000 rows x 8 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"Last Login Time\"]=pd.to_datetime(emp_df[\"Last Login Time\"])\n",
    "emp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "de23f6b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   First Name         933 non-null    object        \n",
      " 1   Gender             855 non-null    object        \n",
      " 2   Start Date         1000 non-null   datetime64[ns]\n",
      " 3   Last Login Time    1000 non-null   datetime64[ns]\n",
      " 4   Salary             1000 non-null   int64         \n",
      " 5   Bonus %            1000 non-null   float64       \n",
      " 6   Senior Management  1000 non-null   bool          \n",
      " 7   Team               957 non-null    object        \n",
      "dtypes: bool(1), datetime64[ns](2), float64(1), int64(1), object(3)\n",
      "memory usage: 55.8+ KB\n"
     ]
    }
   ],
   "source": [
    "emp_df[\"Senior Management\"]=emp_df[\"Senior Management\"].astype(bool) # Bir alanı boolean a dönüştürme\n",
    "emp_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e4c755ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   First Name         933 non-null    object        \n",
      " 1   Gender             855 non-null    category      \n",
      " 2   Start Date         1000 non-null   datetime64[ns]\n",
      " 3   Last Login Time    1000 non-null   datetime64[ns]\n",
      " 4   Salary             1000 non-null   int64         \n",
      " 5   Bonus %            1000 non-null   float64       \n",
      " 6   Senior Management  1000 non-null   bool          \n",
      " 7   Team               957 non-null    object        \n",
      "dtypes: bool(1), category(1), datetime64[ns](2), float64(1), int64(1), object(2)\n",
      "memory usage: 49.1+ KB\n"
     ]
    }
   ],
   "source": [
    "emp_df[\"Gender\"]=emp_df[\"Gender\"].astype(\"category\")\n",
    "emp_df.info() #62kb den 49 kb ye düştü alan kazancımız oldu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "22c2879a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date  Salary  Bonus %  Senior Management  \\\n",
       "0      Douglas    Male 1993-08-06   97308    6.945               True   \n",
       "1       Thomas    Male 1996-03-31   61933    4.170               True   \n",
       "2        Maria  Female 1993-04-23  130590   11.858              False   \n",
       "3        Jerry    Male 2005-03-04  138705    9.340               True   \n",
       "4        Larry    Male 1998-01-24  101004    1.389               True   \n",
       "..         ...     ...        ...     ...      ...                ...   \n",
       "995      Henry     NaN 2014-11-23  132483   16.655              False   \n",
       "996    Phillip    Male 1984-01-31   42392   19.675              False   \n",
       "997    Russell    Male 2013-05-20   96914    1.421              False   \n",
       "998      Larry    Male 2013-04-20   60500   11.985              False   \n",
       "999     Albert    Male 2012-05-15  129949   10.169               True   \n",
       "\n",
       "                     Team  \n",
       "0               Marketing  \n",
       "1                     NaN  \n",
       "2                 Finance  \n",
       "3                 Finance  \n",
       "4         Client Services  \n",
       "..                    ...  \n",
       "995          Distribution  \n",
       "996               Finance  \n",
       "997               Product  \n",
       "998  Business Development  \n",
       "999                 Sales  \n",
       "\n",
       "[1000 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df.drop('Last Login Time', axis=1, inplace=True) #belirtilen sütunu silmek\n",
    "emp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aad93105",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   First Name         933 non-null    object        \n",
      " 1   Gender             855 non-null    category      \n",
      " 2   Start Date         1000 non-null   datetime64[ns]\n",
      " 3   Last Login Time    1000 non-null   datetime64[ns]\n",
      " 4   Salary             1000 non-null   int64         \n",
      " 5   Bonus %            1000 non-null   float64       \n",
      " 6   Senior Management  1000 non-null   bool          \n",
      " 7   Team               957 non-null    object        \n",
      "dtypes: bool(1), category(1), datetime64[ns](2), float64(1), int64(1), object(2)\n",
      "memory usage: 49.1+ KB\n"
     ]
    }
   ],
   "source": [
    "emp_df=pd.read_csv(\"resources/resources/employees.csv\")\n",
    "#pd.to_datetime(emp_df[\"Start Date\"]) #start date i datetime yaptık daha önce object stringti \n",
    "emp_df[\"Start Date\"]=pd.to_datetime(emp_df[\"Start Date\"]) #değişikliklerin kalıcı olması için\n",
    "emp_df[\"Last Login Time\"]=pd.to_datetime(emp_df[\"Last Login Time\"])\n",
    "emp_df[\"Senior Management\"]=emp_df[\"Senior Management\"].astype(bool)\n",
    "emp_df[\"Gender\"]=emp_df[\"Gender\"].astype(\"category\")\n",
    "emp_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5aeb8137",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   First Name         933 non-null    object        \n",
      " 1   Gender             855 non-null    category      \n",
      " 2   Start Date         1000 non-null   datetime64[ns]\n",
      " 3   Last Login Time    1000 non-null   datetime64[ns]\n",
      " 4   Salary             1000 non-null   int64         \n",
      " 5   Bonus %            1000 non-null   float64       \n",
      " 6   Senior Management  1000 non-null   bool          \n",
      " 7   Team               957 non-null    object        \n",
      "dtypes: bool(1), category(1), datetime64[ns](2), float64(1), int64(1), object(2)\n",
      "memory usage: 49.1+ KB\n"
     ]
    }
   ],
   "source": [
    "emp_df=pd.read_csv(\"resources/resources/employees.csv\",parse_dates=[\"Start Date\",\"Last Login Time\"]) \n",
    "#parse_dates->datetime olanları bizim için oto olarak parse eder\n",
    "#pd.to_datetime(emp_df[\"Start Date\"]) #start date i datetime yaptık daha önce object stringti \n",
    "#emp_df[\"Start Date\"]=pd.to_datetime(emp_df[\"Start Date\"]) #değişikliklerin kalıcı olması için\n",
    "#emp_df[\"Last Login Time\"]=pd.to_datetime(emp_df[\"Last Login Time\"])\n",
    "emp_df[\"Senior Management\"]=emp_df[\"Senior Management\"].astype(bool)\n",
    "emp_df[\"Gender\"]=emp_df[\"Gender\"].astype(\"category\")\n",
    "emp_df.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "02a1c370",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>424 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas   Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas   Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "3        Jerry   Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry   Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "5       Dennis   Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "..         ...    ...        ...                 ...     ...      ...   \n",
       "994     George   Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "996    Phillip   Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell   Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry   Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert   Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "0                 True             Marketing  \n",
       "1                 True                   NaN  \n",
       "3                 True               Finance  \n",
       "4                 True       Client Services  \n",
       "5                False                 Legal  \n",
       "..                 ...                   ...  \n",
       "994               True             Marketing  \n",
       "996              False               Finance  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "999               True                 Sales  \n",
       "\n",
       "[424 rows x 8 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Gender\"]==\"Male\"] #male olanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2a95e29a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kimberly</td>\n",
       "      <td>Female</td>\n",
       "      <td>1999-01-14</td>\n",
       "      <td>2022-12-29 07:13:00</td>\n",
       "      <td>41426</td>\n",
       "      <td>14.543</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Bruce</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-11-28</td>\n",
       "      <td>2022-12-29 22:47:00</td>\n",
       "      <td>114796</td>\n",
       "      <td>6.796</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Female</td>\n",
       "      <td>1998-07-27</td>\n",
       "      <td>2022-12-29 11:12:00</td>\n",
       "      <td>137144</td>\n",
       "      <td>10.081</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>Joe</td>\n",
       "      <td>Male</td>\n",
       "      <td>1980-01-19</td>\n",
       "      <td>2022-12-29 16:06:00</td>\n",
       "      <td>119667</td>\n",
       "      <td>1.148</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Gloria</td>\n",
       "      <td>Female</td>\n",
       "      <td>2014-12-08</td>\n",
       "      <td>2022-12-29 05:08:00</td>\n",
       "      <td>136709</td>\n",
       "      <td>10.331</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "14    Kimberly  Female 1999-01-14 2022-12-29 07:13:00   41426   14.543   \n",
       "46       Bruce    Male 2009-11-28 2022-12-29 22:47:00  114796    6.796   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "907  Elizabeth  Female 1998-07-27 2022-12-29 11:12:00  137144   10.081   \n",
       "954        Joe    Male 1980-01-19 2022-12-29 16:06:00  119667    1.148   \n",
       "987     Gloria  Female 2014-12-08 2022-12-29 05:08:00  136709   10.331   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "\n",
       "     Senior Management     Team  \n",
       "2                False  Finance  \n",
       "3                 True  Finance  \n",
       "7                 True  Finance  \n",
       "14                True  Finance  \n",
       "46               False  Finance  \n",
       "..                 ...      ...  \n",
       "907              False  Finance  \n",
       "954               True  Finance  \n",
       "987               True  Finance  \n",
       "992               True  Finance  \n",
       "996              False  Finance  \n",
       "\n",
       "[102 rows x 8 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Team\"]==\"Finance\"] #Team i Finance olanları getirir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "757ba820",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>424 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas   Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas   Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "3        Jerry   Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry   Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "5       Dennis   Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "..         ...    ...        ...                 ...     ...      ...   \n",
       "994     George   Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "996    Phillip   Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell   Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry   Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert   Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "0                 True             Marketing  \n",
       "1                 True                   NaN  \n",
       "3                 True               Finance  \n",
       "4                 True       Client Services  \n",
       "5                False                 Legal  \n",
       "..                 ...                   ...  \n",
       "994               True             Marketing  \n",
       "996              False               Finance  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "999               True                 Sales  \n",
       "\n",
       "[424 rows x 8 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "condition1=emp_df[\"Gender\"]==\"Male\" # Gender ı male olanları değişkene atayıp dataframe den öyle sorgulatmış\n",
    "emp_df[condition1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "da47af6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ruby</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-08-17</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>65476</td>\n",
       "      <td>10.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-25</td>\n",
       "      <td>2022-12-29 05:12:00</td>\n",
       "      <td>134505</td>\n",
       "      <td>11.051</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>Tina</td>\n",
       "      <td>Female</td>\n",
       "      <td>1997-05-15</td>\n",
       "      <td>2022-12-29 15:53:00</td>\n",
       "      <td>56450</td>\n",
       "      <td>19.040</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>535 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas    Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "6         Ruby  Female 1987-08-17 2022-12-29 16:20:00   65476   10.012   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "991       Rose  Female 2002-08-25 2022-12-29 05:12:00  134505   11.051   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "993       Tina  Female 1997-05-15 2022-12-29 15:53:00   56450   19.040   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management             Team  \n",
       "0                 True        Marketing  \n",
       "1                 True              NaN  \n",
       "3                 True          Finance  \n",
       "4                 True  Client Services  \n",
       "6                 True          Product  \n",
       "..                 ...              ...  \n",
       "991               True        Marketing  \n",
       "992               True          Finance  \n",
       "993               True      Engineering  \n",
       "994               True        Marketing  \n",
       "999               True            Sales  \n",
       "\n",
       "[535 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Senior Management\"]] #boolean alanda true olanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "75ef01ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Male</td>\n",
       "      <td>2008-01-27</td>\n",
       "      <td>2022-12-29 23:40:00</td>\n",
       "      <td>109831</td>\n",
       "      <td>5.831</td>\n",
       "      <td>False</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lillian</td>\n",
       "      <td>Female</td>\n",
       "      <td>2016-06-05</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>59414</td>\n",
       "      <td>1.256</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>2010-09-21</td>\n",
       "      <td>2022-12-29 05:56:00</td>\n",
       "      <td>90370</td>\n",
       "      <td>7.369</td>\n",
       "      <td>False</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>Justin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1991-02-10</td>\n",
       "      <td>2022-12-29 16:58:00</td>\n",
       "      <td>38344</td>\n",
       "      <td>3.794</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>465 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "13        Gary    Male 2008-01-27 2022-12-29 23:40:00  109831    5.831   \n",
       "15     Lillian  Female 2016-06-05 2022-12-29 06:09:00   59414    1.256   \n",
       "16      Jeremy    Male 2010-09-21 2022-12-29 05:56:00   90370    7.369   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "989     Justin     NaN 1991-02-10 2022-12-29 16:58:00   38344    3.794   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry    Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "2                False               Finance  \n",
       "5                False                 Legal  \n",
       "13               False                 Sales  \n",
       "15               False               Product  \n",
       "16               False       Human Resources  \n",
       "..                 ...                   ...  \n",
       "989              False                 Legal  \n",
       "995              False          Distribution  \n",
       "996              False               Finance  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "\n",
       "[465 rows x 8 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[~emp_df[\"Senior Management\"]] #boolean alanda false olanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "13bf5170",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ruby</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-08-17</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>65476</td>\n",
       "      <td>10.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>898 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas    Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "6         Ruby  Female 1987-08-17 2022-12-29 16:20:00   65476   10.012   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry    Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "0                 True             Marketing  \n",
       "1                 True                   NaN  \n",
       "4                 True       Client Services  \n",
       "5                False                 Legal  \n",
       "6                 True               Product  \n",
       "..                 ...                   ...  \n",
       "994               True             Marketing  \n",
       "995              False          Distribution  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "999               True                 Sales  \n",
       "\n",
       "[898 rows x 8 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Team\"]!=\"Finance\"] #Teami Finance değilse getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e06abfd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Frances</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-08</td>\n",
       "      <td>2022-12-29 06:51:00</td>\n",
       "      <td>139852</td>\n",
       "      <td>7.524</td>\n",
       "      <td>True</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>Robin</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-07-24</td>\n",
       "      <td>2022-12-29 13:35:00</td>\n",
       "      <td>100765</td>\n",
       "      <td>10.982</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-25</td>\n",
       "      <td>2022-12-29 05:12:00</td>\n",
       "      <td>134505</td>\n",
       "      <td>11.051</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>409 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "9      Frances  Female 2002-08-08 2022-12-29 06:51:00  139852    7.524   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "990      Robin  Female 1987-07-24 2022-12-29 13:35:00  100765   10.982   \n",
       "991       Rose  Female 2002-08-25 2022-12-29 05:12:00  134505   11.051   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "2                False               Finance  \n",
       "3                 True               Finance  \n",
       "4                 True       Client Services  \n",
       "5                False                 Legal  \n",
       "9                 True  Business Development  \n",
       "..                 ...                   ...  \n",
       "990               True       Client Services  \n",
       "991               True             Marketing  \n",
       "992               True               Finance  \n",
       "995              False          Distribution  \n",
       "999               True                 Sales  \n",
       "\n",
       "[409 rows x 8 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Salary\"]>=100000]\n",
    "#Salary si 100000 den fazla olanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0b4233c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "409"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(emp_df[emp_df[\"Salary\"]>=100000]) #kaç kişi olduğunu bulmak için"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7c3fad27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>760 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "1       Thomas    Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry    Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "0                 True             Marketing  \n",
       "1                 True                   NaN  \n",
       "2                False               Finance  \n",
       "3                 True               Finance  \n",
       "4                 True       Client Services  \n",
       "..                 ...                   ...  \n",
       "994               True             Marketing  \n",
       "995              False          Distribution  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "999               True                 Sales  \n",
       "\n",
       "[760 rows x 8 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Start Date\"]>\"1990-01-01\"] #start date i girilen tarihten sonra olanları alır"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9b69d38a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Bruce</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-11-28</td>\n",
       "      <td>2022-12-29 22:47:00</td>\n",
       "      <td>114796</td>\n",
       "      <td>6.796</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Carl</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-05-03</td>\n",
       "      <td>2022-12-29 17:55:00</td>\n",
       "      <td>130276</td>\n",
       "      <td>16.084</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Jose</td>\n",
       "      <td>Male</td>\n",
       "      <td>2004-10-30</td>\n",
       "      <td>2022-12-29 13:39:00</td>\n",
       "      <td>84834</td>\n",
       "      <td>14.330</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Shawn</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-09-23</td>\n",
       "      <td>2022-12-29 02:55:00</td>\n",
       "      <td>148115</td>\n",
       "      <td>6.539</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Steven</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-03-01</td>\n",
       "      <td>2022-12-29 15:03:00</td>\n",
       "      <td>109095</td>\n",
       "      <td>9.494</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-08-12</td>\n",
       "      <td>2022-12-29 00:04:00</td>\n",
       "      <td>89661</td>\n",
       "      <td>8.525</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Brandon</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-03-27</td>\n",
       "      <td>2022-12-29 17:54:00</td>\n",
       "      <td>115711</td>\n",
       "      <td>8.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>Billy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-03-13</td>\n",
       "      <td>2022-12-29 12:05:00</td>\n",
       "      <td>120444</td>\n",
       "      <td>7.768</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Jason</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-10-17</td>\n",
       "      <td>2022-12-29 22:09:00</td>\n",
       "      <td>78417</td>\n",
       "      <td>3.067</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Walter</td>\n",
       "      <td>Male</td>\n",
       "      <td>1983-07-06</td>\n",
       "      <td>2022-12-29 23:54:00</td>\n",
       "      <td>127813</td>\n",
       "      <td>5.961</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>Todd</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-02-02</td>\n",
       "      <td>2022-12-29 10:13:00</td>\n",
       "      <td>69989</td>\n",
       "      <td>10.985</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1981-08-12</td>\n",
       "      <td>2022-12-29 00:05:00</td>\n",
       "      <td>46930</td>\n",
       "      <td>18.702</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Roy</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-08-06</td>\n",
       "      <td>2022-12-29 07:52:00</td>\n",
       "      <td>148225</td>\n",
       "      <td>1.841</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Samuel</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-12-19</td>\n",
       "      <td>2022-12-29 02:54:00</td>\n",
       "      <td>76076</td>\n",
       "      <td>5.319</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2014-11-18</td>\n",
       "      <td>2022-12-29 05:00:00</td>\n",
       "      <td>85799</td>\n",
       "      <td>19.930</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>2022-12-29 01:01:00</td>\n",
       "      <td>77327</td>\n",
       "      <td>11.580</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>Philip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-08-02</td>\n",
       "      <td>2022-12-29 11:21:00</td>\n",
       "      <td>129968</td>\n",
       "      <td>19.897</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>Justin</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-05-22</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>121508</td>\n",
       "      <td>19.334</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>Christopher</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-05-13</td>\n",
       "      <td>2022-12-29 10:48:00</td>\n",
       "      <td>68028</td>\n",
       "      <td>7.869</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-09-30</td>\n",
       "      <td>2022-12-29 17:34:00</td>\n",
       "      <td>102626</td>\n",
       "      <td>15.843</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Craig</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-11-01</td>\n",
       "      <td>2022-12-29 23:31:00</td>\n",
       "      <td>44857</td>\n",
       "      <td>13.266</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>Harry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1982-11-19</td>\n",
       "      <td>2022-12-29 11:25:00</td>\n",
       "      <td>59277</td>\n",
       "      <td>10.200</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>Peter</td>\n",
       "      <td>Male</td>\n",
       "      <td>1992-11-24</td>\n",
       "      <td>2022-12-29 17:43:00</td>\n",
       "      <td>69297</td>\n",
       "      <td>1.268</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>Ralph</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>2022-12-29 02:25:00</td>\n",
       "      <td>81215</td>\n",
       "      <td>8.400</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-10-20</td>\n",
       "      <td>2022-12-29 09:37:00</td>\n",
       "      <td>88086</td>\n",
       "      <td>19.387</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>Edward</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-11-27</td>\n",
       "      <td>2022-12-29 01:00:00</td>\n",
       "      <td>58327</td>\n",
       "      <td>17.095</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-05-19</td>\n",
       "      <td>2022-12-29 13:40:00</td>\n",
       "      <td>131513</td>\n",
       "      <td>1.876</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>Henry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-05-12</td>\n",
       "      <td>2022-12-29 02:04:00</td>\n",
       "      <td>59943</td>\n",
       "      <td>1.432</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-10-24</td>\n",
       "      <td>2022-12-29 09:23:00</td>\n",
       "      <td>47176</td>\n",
       "      <td>10.736</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>Fred</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-03-03</td>\n",
       "      <td>2022-12-29 02:27:00</td>\n",
       "      <td>129712</td>\n",
       "      <td>11.058</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-09-27</td>\n",
       "      <td>2022-12-29 17:04:00</td>\n",
       "      <td>36749</td>\n",
       "      <td>19.754</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Male</td>\n",
       "      <td>2015-01-15</td>\n",
       "      <td>2022-12-29 14:41:00</td>\n",
       "      <td>69112</td>\n",
       "      <td>7.588</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>Joseph</td>\n",
       "      <td>Male</td>\n",
       "      <td>1985-05-23</td>\n",
       "      <td>2022-12-29 22:16:00</td>\n",
       "      <td>139570</td>\n",
       "      <td>15.804</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>Harry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1985-02-10</td>\n",
       "      <td>2022-12-29 19:46:00</td>\n",
       "      <td>63046</td>\n",
       "      <td>10.411</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-03-26</td>\n",
       "      <td>2022-12-29 04:15:00</td>\n",
       "      <td>140850</td>\n",
       "      <td>18.855</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2015-11-24</td>\n",
       "      <td>2022-12-29 03:11:00</td>\n",
       "      <td>145329</td>\n",
       "      <td>7.100</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>Timothy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-08-25</td>\n",
       "      <td>2022-12-29 10:37:00</td>\n",
       "      <td>92587</td>\n",
       "      <td>8.475</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>Joe</td>\n",
       "      <td>Male</td>\n",
       "      <td>1980-01-19</td>\n",
       "      <td>2022-12-29 16:06:00</td>\n",
       "      <td>119667</td>\n",
       "      <td>1.148</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      First Name Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "3          Jerry   Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "46         Bruce   Male 2009-11-28 2022-12-29 22:47:00  114796    6.796   \n",
       "56          Carl   Male 2006-05-03 2022-12-29 17:55:00  130276   16.084   \n",
       "68          Jose   Male 2004-10-30 2022-12-29 13:39:00   84834   14.330   \n",
       "83         Shawn   Male 2005-09-23 2022-12-29 02:55:00  148115    6.539   \n",
       "117       Steven   Male 1995-03-01 2022-12-29 15:03:00  109095    9.494   \n",
       "200         Gary   Male 1987-08-12 2022-12-29 00:04:00   89661    8.525   \n",
       "205      Brandon   Male 2006-03-27 2022-12-29 17:54:00  115711    8.012   \n",
       "219        Billy   Male 1995-03-13 2022-12-29 12:05:00  120444    7.768   \n",
       "222        Jason   Male 1999-10-17 2022-12-29 22:09:00   78417    3.067   \n",
       "241       Walter   Male 1983-07-06 2022-12-29 23:54:00  127813    5.961   \n",
       "286         Todd   Male 1984-02-02 2022-12-29 10:13:00   69989   10.985   \n",
       "304       Jeremy   Male 1981-08-12 2022-12-29 00:05:00   46930   18.702   \n",
       "318          Roy   Male 2006-08-06 2022-12-29 07:52:00  148225    1.841   \n",
       "328       Samuel   Male 1991-12-19 2022-12-29 02:54:00   76076    5.319   \n",
       "335       Robert   Male 2014-11-18 2022-12-29 05:00:00   85799   19.930   \n",
       "341       Carlos   Male 2007-09-19 2022-12-29 01:01:00   77327   11.580   \n",
       "348       Philip   Male 1989-08-02 2022-12-29 11:21:00  129968   19.897   \n",
       "420       Justin   Male 1986-05-22 2022-12-29 06:30:00  121508   19.334   \n",
       "428  Christopher   Male 1999-05-13 2022-12-29 10:48:00   68028    7.869   \n",
       "458       Albert   Male 2007-09-30 2022-12-29 17:34:00  102626   15.843   \n",
       "493        Craig   Male 2005-11-01 2022-12-29 23:31:00   44857   13.266   \n",
       "582        Harry   Male 1982-11-19 2022-12-29 11:25:00   59277   10.200   \n",
       "618        Peter   Male 1992-11-24 2022-12-29 17:43:00   69297    1.268   \n",
       "620        Ralph   Male 2012-03-07 2022-12-29 02:25:00   81215    8.400   \n",
       "685          NaN   Male 1989-10-20 2022-12-29 09:37:00   88086   19.387   \n",
       "710       Edward   Male 1997-11-27 2022-12-29 01:00:00   58327   17.095   \n",
       "725       Jeremy   Male 1991-05-19 2022-12-29 13:40:00  131513    1.876   \n",
       "732        Henry   Male 1986-05-12 2022-12-29 02:04:00   59943    1.432   \n",
       "773          NaN   Male 1986-10-24 2022-12-29 09:23:00   47176   10.736   \n",
       "790         Fred   Male 1989-03-03 2022-12-29 02:27:00  129712   11.058   \n",
       "809       George   Male 1995-09-27 2022-12-29 17:04:00   36749   19.754   \n",
       "831      Kenneth   Male 2015-01-15 2022-12-29 14:41:00   69112    7.588   \n",
       "837       Joseph   Male 1985-05-23 2022-12-29 22:16:00  139570   15.804   \n",
       "854        Harry   Male 1985-02-10 2022-12-29 19:46:00   63046   10.411   \n",
       "861        Jerry   Male 1989-03-26 2022-12-29 04:15:00  140850   18.855   \n",
       "890          NaN   Male 2015-11-24 2022-12-29 03:11:00  145329    7.100   \n",
       "891      Timothy   Male 1991-08-25 2022-12-29 10:37:00   92587    8.475   \n",
       "954          Joe   Male 1980-01-19 2022-12-29 16:06:00  119667    1.148   \n",
       "992      Anthony   Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "996      Phillip   Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "\n",
       "     Senior Management     Team  \n",
       "3                 True  Finance  \n",
       "46               False  Finance  \n",
       "56                True  Finance  \n",
       "68                True  Finance  \n",
       "83                True  Finance  \n",
       "117              False  Finance  \n",
       "200              False  Finance  \n",
       "205               True  Finance  \n",
       "219               True  Finance  \n",
       "222              False  Finance  \n",
       "241              False  Finance  \n",
       "286               True  Finance  \n",
       "304               True  Finance  \n",
       "318              False  Finance  \n",
       "328               True  Finance  \n",
       "335              False  Finance  \n",
       "341               True  Finance  \n",
       "348              False  Finance  \n",
       "420               True  Finance  \n",
       "428               True  Finance  \n",
       "458              False  Finance  \n",
       "493              False  Finance  \n",
       "582              False  Finance  \n",
       "618              False  Finance  \n",
       "620              False  Finance  \n",
       "685               True  Finance  \n",
       "710               True  Finance  \n",
       "725               True  Finance  \n",
       "732              False  Finance  \n",
       "773               True  Finance  \n",
       "790              False  Finance  \n",
       "809              False  Finance  \n",
       "831               True  Finance  \n",
       "837               True  Finance  \n",
       "854              False  Finance  \n",
       "861              False  Finance  \n",
       "890               True  Finance  \n",
       "891              False  Finance  \n",
       "954               True  Finance  \n",
       "992               True  Finance  \n",
       "996              False  Finance  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[(emp_df[\"Gender\"]==\"Male\") & (emp_df[\"Team\"]==\"Finance\")] #birden fazla şart VE\n",
    "#Male ve finance da çalışanlar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b507297e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Bruce</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-11-28</td>\n",
       "      <td>2022-12-29 22:47:00</td>\n",
       "      <td>114796</td>\n",
       "      <td>6.796</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Carl</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-05-03</td>\n",
       "      <td>2022-12-29 17:55:00</td>\n",
       "      <td>130276</td>\n",
       "      <td>16.084</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Jose</td>\n",
       "      <td>Male</td>\n",
       "      <td>2004-10-30</td>\n",
       "      <td>2022-12-29 13:39:00</td>\n",
       "      <td>84834</td>\n",
       "      <td>14.330</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Shawn</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-09-23</td>\n",
       "      <td>2022-12-29 02:55:00</td>\n",
       "      <td>148115</td>\n",
       "      <td>6.539</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Steven</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-03-01</td>\n",
       "      <td>2022-12-29 15:03:00</td>\n",
       "      <td>109095</td>\n",
       "      <td>9.494</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-08-12</td>\n",
       "      <td>2022-12-29 00:04:00</td>\n",
       "      <td>89661</td>\n",
       "      <td>8.525</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Brandon</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-03-27</td>\n",
       "      <td>2022-12-29 17:54:00</td>\n",
       "      <td>115711</td>\n",
       "      <td>8.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>Billy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-03-13</td>\n",
       "      <td>2022-12-29 12:05:00</td>\n",
       "      <td>120444</td>\n",
       "      <td>7.768</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Jason</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-10-17</td>\n",
       "      <td>2022-12-29 22:09:00</td>\n",
       "      <td>78417</td>\n",
       "      <td>3.067</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Walter</td>\n",
       "      <td>Male</td>\n",
       "      <td>1983-07-06</td>\n",
       "      <td>2022-12-29 23:54:00</td>\n",
       "      <td>127813</td>\n",
       "      <td>5.961</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>Todd</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-02-02</td>\n",
       "      <td>2022-12-29 10:13:00</td>\n",
       "      <td>69989</td>\n",
       "      <td>10.985</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1981-08-12</td>\n",
       "      <td>2022-12-29 00:05:00</td>\n",
       "      <td>46930</td>\n",
       "      <td>18.702</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Roy</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-08-06</td>\n",
       "      <td>2022-12-29 07:52:00</td>\n",
       "      <td>148225</td>\n",
       "      <td>1.841</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Samuel</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-12-19</td>\n",
       "      <td>2022-12-29 02:54:00</td>\n",
       "      <td>76076</td>\n",
       "      <td>5.319</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2014-11-18</td>\n",
       "      <td>2022-12-29 05:00:00</td>\n",
       "      <td>85799</td>\n",
       "      <td>19.930</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-09-19</td>\n",
       "      <td>2022-12-29 01:01:00</td>\n",
       "      <td>77327</td>\n",
       "      <td>11.580</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>Philip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-08-02</td>\n",
       "      <td>2022-12-29 11:21:00</td>\n",
       "      <td>129968</td>\n",
       "      <td>19.897</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>Justin</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-05-22</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>121508</td>\n",
       "      <td>19.334</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>Christopher</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-05-13</td>\n",
       "      <td>2022-12-29 10:48:00</td>\n",
       "      <td>68028</td>\n",
       "      <td>7.869</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-09-30</td>\n",
       "      <td>2022-12-29 17:34:00</td>\n",
       "      <td>102626</td>\n",
       "      <td>15.843</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Craig</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-11-01</td>\n",
       "      <td>2022-12-29 23:31:00</td>\n",
       "      <td>44857</td>\n",
       "      <td>13.266</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>Harry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1982-11-19</td>\n",
       "      <td>2022-12-29 11:25:00</td>\n",
       "      <td>59277</td>\n",
       "      <td>10.200</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>Peter</td>\n",
       "      <td>Male</td>\n",
       "      <td>1992-11-24</td>\n",
       "      <td>2022-12-29 17:43:00</td>\n",
       "      <td>69297</td>\n",
       "      <td>1.268</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>Ralph</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>2022-12-29 02:25:00</td>\n",
       "      <td>81215</td>\n",
       "      <td>8.400</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-10-20</td>\n",
       "      <td>2022-12-29 09:37:00</td>\n",
       "      <td>88086</td>\n",
       "      <td>19.387</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>Edward</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-11-27</td>\n",
       "      <td>2022-12-29 01:00:00</td>\n",
       "      <td>58327</td>\n",
       "      <td>17.095</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-05-19</td>\n",
       "      <td>2022-12-29 13:40:00</td>\n",
       "      <td>131513</td>\n",
       "      <td>1.876</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>Henry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-05-12</td>\n",
       "      <td>2022-12-29 02:04:00</td>\n",
       "      <td>59943</td>\n",
       "      <td>1.432</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-10-24</td>\n",
       "      <td>2022-12-29 09:23:00</td>\n",
       "      <td>47176</td>\n",
       "      <td>10.736</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>Fred</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-03-03</td>\n",
       "      <td>2022-12-29 02:27:00</td>\n",
       "      <td>129712</td>\n",
       "      <td>11.058</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-09-27</td>\n",
       "      <td>2022-12-29 17:04:00</td>\n",
       "      <td>36749</td>\n",
       "      <td>19.754</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Male</td>\n",
       "      <td>2015-01-15</td>\n",
       "      <td>2022-12-29 14:41:00</td>\n",
       "      <td>69112</td>\n",
       "      <td>7.588</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>Joseph</td>\n",
       "      <td>Male</td>\n",
       "      <td>1985-05-23</td>\n",
       "      <td>2022-12-29 22:16:00</td>\n",
       "      <td>139570</td>\n",
       "      <td>15.804</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>Harry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1985-02-10</td>\n",
       "      <td>2022-12-29 19:46:00</td>\n",
       "      <td>63046</td>\n",
       "      <td>10.411</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-03-26</td>\n",
       "      <td>2022-12-29 04:15:00</td>\n",
       "      <td>140850</td>\n",
       "      <td>18.855</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2015-11-24</td>\n",
       "      <td>2022-12-29 03:11:00</td>\n",
       "      <td>145329</td>\n",
       "      <td>7.100</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>Timothy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1991-08-25</td>\n",
       "      <td>2022-12-29 10:37:00</td>\n",
       "      <td>92587</td>\n",
       "      <td>8.475</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>Joe</td>\n",
       "      <td>Male</td>\n",
       "      <td>1980-01-19</td>\n",
       "      <td>2022-12-29 16:06:00</td>\n",
       "      <td>119667</td>\n",
       "      <td>1.148</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      First Name Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "3          Jerry   Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "46         Bruce   Male 2009-11-28 2022-12-29 22:47:00  114796    6.796   \n",
       "56          Carl   Male 2006-05-03 2022-12-29 17:55:00  130276   16.084   \n",
       "68          Jose   Male 2004-10-30 2022-12-29 13:39:00   84834   14.330   \n",
       "83         Shawn   Male 2005-09-23 2022-12-29 02:55:00  148115    6.539   \n",
       "117       Steven   Male 1995-03-01 2022-12-29 15:03:00  109095    9.494   \n",
       "200         Gary   Male 1987-08-12 2022-12-29 00:04:00   89661    8.525   \n",
       "205      Brandon   Male 2006-03-27 2022-12-29 17:54:00  115711    8.012   \n",
       "219        Billy   Male 1995-03-13 2022-12-29 12:05:00  120444    7.768   \n",
       "222        Jason   Male 1999-10-17 2022-12-29 22:09:00   78417    3.067   \n",
       "241       Walter   Male 1983-07-06 2022-12-29 23:54:00  127813    5.961   \n",
       "286         Todd   Male 1984-02-02 2022-12-29 10:13:00   69989   10.985   \n",
       "304       Jeremy   Male 1981-08-12 2022-12-29 00:05:00   46930   18.702   \n",
       "318          Roy   Male 2006-08-06 2022-12-29 07:52:00  148225    1.841   \n",
       "328       Samuel   Male 1991-12-19 2022-12-29 02:54:00   76076    5.319   \n",
       "335       Robert   Male 2014-11-18 2022-12-29 05:00:00   85799   19.930   \n",
       "341       Carlos   Male 2007-09-19 2022-12-29 01:01:00   77327   11.580   \n",
       "348       Philip   Male 1989-08-02 2022-12-29 11:21:00  129968   19.897   \n",
       "420       Justin   Male 1986-05-22 2022-12-29 06:30:00  121508   19.334   \n",
       "428  Christopher   Male 1999-05-13 2022-12-29 10:48:00   68028    7.869   \n",
       "458       Albert   Male 2007-09-30 2022-12-29 17:34:00  102626   15.843   \n",
       "493        Craig   Male 2005-11-01 2022-12-29 23:31:00   44857   13.266   \n",
       "582        Harry   Male 1982-11-19 2022-12-29 11:25:00   59277   10.200   \n",
       "618        Peter   Male 1992-11-24 2022-12-29 17:43:00   69297    1.268   \n",
       "620        Ralph   Male 2012-03-07 2022-12-29 02:25:00   81215    8.400   \n",
       "685          NaN   Male 1989-10-20 2022-12-29 09:37:00   88086   19.387   \n",
       "710       Edward   Male 1997-11-27 2022-12-29 01:00:00   58327   17.095   \n",
       "725       Jeremy   Male 1991-05-19 2022-12-29 13:40:00  131513    1.876   \n",
       "732        Henry   Male 1986-05-12 2022-12-29 02:04:00   59943    1.432   \n",
       "773          NaN   Male 1986-10-24 2022-12-29 09:23:00   47176   10.736   \n",
       "790         Fred   Male 1989-03-03 2022-12-29 02:27:00  129712   11.058   \n",
       "809       George   Male 1995-09-27 2022-12-29 17:04:00   36749   19.754   \n",
       "831      Kenneth   Male 2015-01-15 2022-12-29 14:41:00   69112    7.588   \n",
       "837       Joseph   Male 1985-05-23 2022-12-29 22:16:00  139570   15.804   \n",
       "854        Harry   Male 1985-02-10 2022-12-29 19:46:00   63046   10.411   \n",
       "861        Jerry   Male 1989-03-26 2022-12-29 04:15:00  140850   18.855   \n",
       "890          NaN   Male 2015-11-24 2022-12-29 03:11:00  145329    7.100   \n",
       "891      Timothy   Male 1991-08-25 2022-12-29 10:37:00   92587    8.475   \n",
       "954          Joe   Male 1980-01-19 2022-12-29 16:06:00  119667    1.148   \n",
       "992      Anthony   Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "996      Phillip   Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "\n",
       "     Senior Management     Team  \n",
       "3                 True  Finance  \n",
       "46               False  Finance  \n",
       "56                True  Finance  \n",
       "68                True  Finance  \n",
       "83                True  Finance  \n",
       "117              False  Finance  \n",
       "200              False  Finance  \n",
       "205               True  Finance  \n",
       "219               True  Finance  \n",
       "222              False  Finance  \n",
       "241              False  Finance  \n",
       "286               True  Finance  \n",
       "304               True  Finance  \n",
       "318              False  Finance  \n",
       "328               True  Finance  \n",
       "335              False  Finance  \n",
       "341               True  Finance  \n",
       "348              False  Finance  \n",
       "420               True  Finance  \n",
       "428               True  Finance  \n",
       "458              False  Finance  \n",
       "493              False  Finance  \n",
       "582              False  Finance  \n",
       "618              False  Finance  \n",
       "620              False  Finance  \n",
       "685               True  Finance  \n",
       "710               True  Finance  \n",
       "725               True  Finance  \n",
       "732              False  Finance  \n",
       "773               True  Finance  \n",
       "790              False  Finance  \n",
       "809              False  Finance  \n",
       "831               True  Finance  \n",
       "837               True  Finance  \n",
       "854              False  Finance  \n",
       "861              False  Finance  \n",
       "890               True  Finance  \n",
       "891              False  Finance  \n",
       "954               True  Finance  \n",
       "992               True  Finance  \n",
       "996              False  Finance  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond1=emp_df[\"Gender\"]==\"Male\"\n",
    "cond2=emp_df[\"Team\"]==\"Finance\"\n",
    "emp_df[cond1&cond2] #birden fazla şartı bu şekilde de yazabiliriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2a2221ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Matthew</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-09-05</td>\n",
       "      <td>2022-12-29 02:12:00</td>\n",
       "      <td>100612</td>\n",
       "      <td>13.645</td>\n",
       "      <td>False</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Craig</td>\n",
       "      <td>Male</td>\n",
       "      <td>2000-02-27</td>\n",
       "      <td>2022-12-29 07:45:00</td>\n",
       "      <td>37598</td>\n",
       "      <td>7.757</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Marilyn</td>\n",
       "      <td>Female</td>\n",
       "      <td>1980-12-07</td>\n",
       "      <td>2022-12-29 03:16:00</td>\n",
       "      <td>73524</td>\n",
       "      <td>5.207</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2007-06-12</td>\n",
       "      <td>2022-12-29 17:25:00</td>\n",
       "      <td>58112</td>\n",
       "      <td>19.414</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>Lori</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-11-20</td>\n",
       "      <td>2022-12-29 13:15:00</td>\n",
       "      <td>75498</td>\n",
       "      <td>6.537</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-07-30</td>\n",
       "      <td>2022-12-29 15:07:00</td>\n",
       "      <td>107351</td>\n",
       "      <td>5.329</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>Donna</td>\n",
       "      <td>Female</td>\n",
       "      <td>1982-11-26</td>\n",
       "      <td>2022-12-29 07:04:00</td>\n",
       "      <td>82871</td>\n",
       "      <td>17.999</td>\n",
       "      <td>False</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-25</td>\n",
       "      <td>2022-12-29 05:12:00</td>\n",
       "      <td>134505</td>\n",
       "      <td>11.051</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>98 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "21     Matthew    Male 1995-09-05 2022-12-29 02:12:00  100612   13.645   \n",
       "26       Craig    Male 2000-02-27 2022-12-29 07:45:00   37598    7.757   \n",
       "43     Marilyn  Female 1980-12-07 2022-12-29 03:16:00   73524    5.207   \n",
       "62         NaN  Female 2007-06-12 2022-12-29 17:25:00   58112   19.414   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "942       Lori  Female 2015-11-20 2022-12-29 13:15:00   75498    6.537   \n",
       "947        NaN    Male 2012-07-30 2022-12-29 15:07:00  107351    5.329   \n",
       "986      Donna  Female 1982-11-26 2022-12-29 07:04:00   82871   17.999   \n",
       "991       Rose  Female 2002-08-25 2022-12-29 05:12:00  134505   11.051   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "\n",
       "     Senior Management       Team  \n",
       "0                 True  Marketing  \n",
       "21               False  Marketing  \n",
       "26                True  Marketing  \n",
       "43                True  Marketing  \n",
       "62                True  Marketing  \n",
       "..                 ...        ...  \n",
       "942               True  Marketing  \n",
       "947               True  Marketing  \n",
       "986              False  Marketing  \n",
       "991               True  Marketing  \n",
       "994               True  Marketing  \n",
       "\n",
       "[98 rows x 8 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond1=emp_df[\"Team\"]==\"Marketing\" #veya\n",
    "cond2=emp_df[\"Start Date\"]==\"1985-01-01\"\n",
    "emp_df[cond1 | cond2] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "52e2835b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lillian</td>\n",
       "      <td>Female</td>\n",
       "      <td>2016-06-05</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>59414</td>\n",
       "      <td>1.256</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Tina</td>\n",
       "      <td>Female</td>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>2022-12-29 19:47:00</td>\n",
       "      <td>100705</td>\n",
       "      <td>16.961</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Male</td>\n",
       "      <td>1994-10-29</td>\n",
       "      <td>2022-12-29 04:26:00</td>\n",
       "      <td>123294</td>\n",
       "      <td>19.894</td>\n",
       "      <td>False</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Terry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-15</td>\n",
       "      <td>2022-12-29 00:29:00</td>\n",
       "      <td>140002</td>\n",
       "      <td>19.490</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "15     Lillian  Female 2016-06-05 2022-12-29 06:09:00   59414    1.256   \n",
       "98        Tina  Female 2016-06-16 2022-12-29 19:47:00  100705   16.961   \n",
       "387     Robert    Male 1994-10-29 2022-12-29 04:26:00  123294   19.894   \n",
       "451      Terry     NaN 2016-07-15 2022-12-29 00:29:00  140002   19.490   \n",
       "\n",
       "     Senior Management             Team  \n",
       "15               False          Product  \n",
       "98                True        Marketing  \n",
       "387              False  Client Services  \n",
       "451               True        Marketing  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond1=emp_df[\"First Name\"]==\"Robert\"\n",
    "cond2=emp_df[\"Team\"]==\"Client Services\"\n",
    "cond3=emp_df[\"Start Date\"]>\"2016-06-01\"\n",
    "emp_df[(cond1&cond2) | cond3] #hangi ikisinin önce çalışacağını belirleyeceksek -beraber çalışan şartları- paranteze almalıyız "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c35d807d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ruby</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-08-17</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>65476</td>\n",
       "      <td>10.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-25</td>\n",
       "      <td>2022-12-29 05:12:00</td>\n",
       "      <td>134505</td>\n",
       "      <td>11.051</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>295 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "6         Ruby  Female 1987-08-17 2022-12-29 16:20:00   65476   10.012   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "991       Rose  Female 2002-08-25 2022-12-29 05:12:00  134505   11.051   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "\n",
       "     Senior Management       Team  \n",
       "0                 True  Marketing  \n",
       "2                False    Finance  \n",
       "3                 True    Finance  \n",
       "6                 True    Product  \n",
       "7                 True    Finance  \n",
       "..                 ...        ...  \n",
       "991               True  Marketing  \n",
       "992               True    Finance  \n",
       "994               True  Marketing  \n",
       "996              False    Finance  \n",
       "997              False    Product  \n",
       "\n",
       "[295 rows x 8 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[(emp_df[\"Team\"]==\"Marketing\") | (emp_df[\"Team\"]==\"Finance\") |(emp_df[\"Team\"]==\"Product\")]\n",
    "# Marketing veya Finance veya product da çalışanları getir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ab7ba2ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ruby</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-08-17</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>65476</td>\n",
       "      <td>10.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>2002-08-25</td>\n",
       "      <td>2022-12-29 05:12:00</td>\n",
       "      <td>134505</td>\n",
       "      <td>11.051</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-06-21</td>\n",
       "      <td>2022-12-29 17:47:00</td>\n",
       "      <td>98874</td>\n",
       "      <td>4.479</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>295 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "6         Ruby  Female 1987-08-17 2022-12-29 16:20:00   65476   10.012   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "991       Rose  Female 2002-08-25 2022-12-29 05:12:00  134505   11.051   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "994     George    Male 2013-06-21 2022-12-29 17:47:00   98874    4.479   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "\n",
       "     Senior Management       Team  \n",
       "0                 True  Marketing  \n",
       "2                False    Finance  \n",
       "3                 True    Finance  \n",
       "6                 True    Product  \n",
       "7                 True    Finance  \n",
       "..                 ...        ...  \n",
       "991               True  Marketing  \n",
       "992               True    Finance  \n",
       "994               True  Marketing  \n",
       "996              False    Finance  \n",
       "997              False    Product  \n",
       "\n",
       "[295 rows x 8 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Team\"].isin([\"Marketing\",\"Finance\",\"Product\"])] #Marketing Finance Product ta çalışanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c1d28e4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thomas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 06:53:00</td>\n",
       "      <td>61933</td>\n",
       "      <td>4.170</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Louise</td>\n",
       "      <td>Female</td>\n",
       "      <td>1980-08-12</td>\n",
       "      <td>2022-12-29 09:01:00</td>\n",
       "      <td>63241</td>\n",
       "      <td>15.132</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-06-14</td>\n",
       "      <td>2022-12-29 16:19:00</td>\n",
       "      <td>125792</td>\n",
       "      <td>5.042</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-08-21</td>\n",
       "      <td>2022-12-29 14:27:00</td>\n",
       "      <td>122340</td>\n",
       "      <td>6.417</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>James</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>2022-12-29 23:00:00</td>\n",
       "      <td>128771</td>\n",
       "      <td>8.309</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Christopher</td>\n",
       "      <td>Male</td>\n",
       "      <td>2000-04-22</td>\n",
       "      <td>2022-12-29 10:15:00</td>\n",
       "      <td>37919</td>\n",
       "      <td>11.449</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1990-10-03</td>\n",
       "      <td>2022-12-29 01:08:00</td>\n",
       "      <td>132373</td>\n",
       "      <td>10.527</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Jonathan</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-07-17</td>\n",
       "      <td>2022-12-29 08:15:00</td>\n",
       "      <td>130581</td>\n",
       "      <td>16.736</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>Michael</td>\n",
       "      <td>Male</td>\n",
       "      <td>2002-01-24</td>\n",
       "      <td>2022-12-29 03:04:00</td>\n",
       "      <td>43586</td>\n",
       "      <td>12.659</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Male</td>\n",
       "      <td>1988-06-14</td>\n",
       "      <td>2022-12-29 18:20:00</td>\n",
       "      <td>129460</td>\n",
       "      <td>13.657</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Bobby</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-03-31</td>\n",
       "      <td>2022-12-29 17:40:00</td>\n",
       "      <td>112117</td>\n",
       "      <td>6.338</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>Edward</td>\n",
       "      <td>Male</td>\n",
       "      <td>1989-08-04</td>\n",
       "      <td>2022-12-29 06:06:00</td>\n",
       "      <td>66067</td>\n",
       "      <td>10.957</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1996-04-18</td>\n",
       "      <td>2022-12-29 15:57:00</td>\n",
       "      <td>107024</td>\n",
       "      <td>12.182</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>Joyce</td>\n",
       "      <td>Female</td>\n",
       "      <td>1995-02-07</td>\n",
       "      <td>2022-12-29 07:38:00</td>\n",
       "      <td>50701</td>\n",
       "      <td>14.227</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>Jason</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-11-20</td>\n",
       "      <td>2022-12-29 14:54:00</td>\n",
       "      <td>69244</td>\n",
       "      <td>6.220</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>Chris</td>\n",
       "      <td>Male</td>\n",
       "      <td>2006-12-12</td>\n",
       "      <td>2022-12-29 01:57:00</td>\n",
       "      <td>71642</td>\n",
       "      <td>1.496</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>Richard</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-07-04</td>\n",
       "      <td>2022-12-29 11:47:00</td>\n",
       "      <td>47647</td>\n",
       "      <td>18.787</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>Wanda</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-06</td>\n",
       "      <td>2022-12-29 03:11:00</td>\n",
       "      <td>78883</td>\n",
       "      <td>19.695</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Jimmy</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-11-19</td>\n",
       "      <td>2022-12-29 19:29:00</td>\n",
       "      <td>63549</td>\n",
       "      <td>19.624</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>Peter</td>\n",
       "      <td>Male</td>\n",
       "      <td>2003-02-22</td>\n",
       "      <td>2022-12-29 09:09:00</td>\n",
       "      <td>56580</td>\n",
       "      <td>8.411</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1980-04-01</td>\n",
       "      <td>2022-12-29 20:04:00</td>\n",
       "      <td>48141</td>\n",
       "      <td>12.605</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>Kimberly</td>\n",
       "      <td>Female</td>\n",
       "      <td>1981-12-30</td>\n",
       "      <td>2022-12-29 04:51:00</td>\n",
       "      <td>81800</td>\n",
       "      <td>5.435</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>Harry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1985-01-27</td>\n",
       "      <td>2022-12-29 20:18:00</td>\n",
       "      <td>65482</td>\n",
       "      <td>18.089</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1997-04-13</td>\n",
       "      <td>2022-12-29 08:03:00</td>\n",
       "      <td>131755</td>\n",
       "      <td>2.930</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>Carl</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-03-30</td>\n",
       "      <td>2022-12-29 17:59:00</td>\n",
       "      <td>75598</td>\n",
       "      <td>19.289</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>Randy</td>\n",
       "      <td>Male</td>\n",
       "      <td>2000-09-27</td>\n",
       "      <td>2022-12-29 03:04:00</td>\n",
       "      <td>89831</td>\n",
       "      <td>13.047</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>Donald</td>\n",
       "      <td>Male</td>\n",
       "      <td>1988-04-06</td>\n",
       "      <td>2022-12-29 10:00:00</td>\n",
       "      <td>122920</td>\n",
       "      <td>5.320</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>Joseph</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1982-03-28</td>\n",
       "      <td>2022-12-29 13:05:00</td>\n",
       "      <td>86564</td>\n",
       "      <td>11.879</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>Alice</td>\n",
       "      <td>Female</td>\n",
       "      <td>2016-01-21</td>\n",
       "      <td>2022-12-29 17:07:00</td>\n",
       "      <td>117787</td>\n",
       "      <td>10.485</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>Todd</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-07-04</td>\n",
       "      <td>2022-12-29 18:53:00</td>\n",
       "      <td>128175</td>\n",
       "      <td>18.473</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>Daniel</td>\n",
       "      <td>Male</td>\n",
       "      <td>2016-02-29</td>\n",
       "      <td>2022-12-29 04:04:00</td>\n",
       "      <td>77287</td>\n",
       "      <td>13.000</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>Antonio</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-06-06</td>\n",
       "      <td>2022-12-29 22:54:00</td>\n",
       "      <td>41928</td>\n",
       "      <td>5.478</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2000-06-18</td>\n",
       "      <td>2022-12-29 07:36:00</td>\n",
       "      <td>106428</td>\n",
       "      <td>10.867</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>Lawrence</td>\n",
       "      <td>Male</td>\n",
       "      <td>1995-07-03</td>\n",
       "      <td>2022-12-29 22:55:00</td>\n",
       "      <td>46378</td>\n",
       "      <td>9.127</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>Nicole</td>\n",
       "      <td>Female</td>\n",
       "      <td>2004-03-01</td>\n",
       "      <td>2022-12-29 17:17:00</td>\n",
       "      <td>44021</td>\n",
       "      <td>10.286</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1988-08-01</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>87103</td>\n",
       "      <td>5.665</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>Charles</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-09-03</td>\n",
       "      <td>2022-12-29 10:04:00</td>\n",
       "      <td>148291</td>\n",
       "      <td>6.002</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>851</th>\n",
       "      <td>Bobby</td>\n",
       "      <td>Male</td>\n",
       "      <td>1996-08-19</td>\n",
       "      <td>2022-12-29 01:16:00</td>\n",
       "      <td>147842</td>\n",
       "      <td>16.158</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>Mildred</td>\n",
       "      <td>Female</td>\n",
       "      <td>2007-04-06</td>\n",
       "      <td>2022-12-29 22:06:00</td>\n",
       "      <td>139284</td>\n",
       "      <td>11.390</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003-10-20</td>\n",
       "      <td>2022-12-29 11:09:00</td>\n",
       "      <td>89700</td>\n",
       "      <td>2.277</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>Ryan</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-11-16</td>\n",
       "      <td>2022-12-29 13:47:00</td>\n",
       "      <td>57292</td>\n",
       "      <td>6.010</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>Joe</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-12-08</td>\n",
       "      <td>2022-12-29 10:28:00</td>\n",
       "      <td>126120</td>\n",
       "      <td>1.020</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2010-09-14</td>\n",
       "      <td>2022-12-29 05:19:00</td>\n",
       "      <td>143638</td>\n",
       "      <td>9.662</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "1         Thomas    Male 1996-03-31 2022-12-29 06:53:00   61933    4.170   \n",
       "10        Louise  Female 1980-08-12 2022-12-29 09:01:00   63241   15.132   \n",
       "23           NaN    Male 2012-06-14 2022-12-29 16:19:00  125792    5.042   \n",
       "32           NaN    Male 1998-08-21 2022-12-29 14:27:00  122340    6.417   \n",
       "91         James     NaN 2005-01-26 2022-12-29 23:00:00  128771    8.309   \n",
       "109  Christopher    Male 2000-04-22 2022-12-29 10:15:00   37919   11.449   \n",
       "139          NaN  Female 1990-10-03 2022-12-29 01:08:00  132373   10.527   \n",
       "199     Jonathan    Male 2009-07-17 2022-12-29 08:15:00  130581   16.736   \n",
       "258      Michael    Male 2002-01-24 2022-12-29 03:04:00   43586   12.659   \n",
       "290       Jeremy    Male 1988-06-14 2022-12-29 18:20:00  129460   13.657   \n",
       "314        Bobby    Male 1996-03-31 2022-12-29 17:40:00  112117    6.338   \n",
       "367       Edward    Male 1989-08-04 2022-12-29 06:06:00   66067   10.957   \n",
       "382          NaN  Female 1996-04-18 2022-12-29 15:57:00  107024   12.182   \n",
       "434        Joyce  Female 1995-02-07 2022-12-29 07:38:00   50701   14.227   \n",
       "438        Jason    Male 1998-11-20 2022-12-29 14:54:00   69244    6.220   \n",
       "445        Chris    Male 2006-12-12 2022-12-29 01:57:00   71642    1.496   \n",
       "479      Richard    Male 1997-07-04 2022-12-29 11:47:00   47647   18.787   \n",
       "512        Wanda  Female 1993-04-06 2022-12-29 03:11:00   78883   19.695   \n",
       "513        Jimmy    Male 2013-11-19 2022-12-29 19:29:00   63549   19.624   \n",
       "520        Peter    Male 2003-02-22 2022-12-29 09:09:00   56580    8.411   \n",
       "567          NaN  Female 1980-04-01 2022-12-29 20:04:00   48141   12.605   \n",
       "573     Kimberly  Female 1981-12-30 2022-12-29 04:51:00   81800    5.435   \n",
       "580        Harry    Male 1985-01-27 2022-12-29 20:18:00   65482   18.089   \n",
       "626          NaN  Female 1997-04-13 2022-12-29 08:03:00  131755    2.930   \n",
       "634         Carl    Male 1987-03-30 2022-12-29 17:59:00   75598   19.289   \n",
       "635        Randy    Male 2000-09-27 2022-12-29 03:04:00   89831   13.047   \n",
       "647       Donald    Male 1988-04-06 2022-12-29 10:00:00  122920    5.320   \n",
       "669       Joseph     NaN 1982-03-28 2022-12-29 13:05:00   86564   11.879   \n",
       "684        Alice  Female 2016-01-21 2022-12-29 17:07:00  117787   10.485   \n",
       "706         Todd    Male 1993-07-04 2022-12-29 18:53:00  128175   18.473   \n",
       "726       Daniel    Male 2016-02-29 2022-12-29 04:04:00   77287   13.000   \n",
       "753      Antonio    Male 1999-06-06 2022-12-29 22:54:00   41928    5.478   \n",
       "774          NaN  Female 2000-06-18 2022-12-29 07:36:00  106428   10.867   \n",
       "781     Lawrence    Male 1995-07-03 2022-12-29 22:55:00   46378    9.127   \n",
       "794       Nicole  Female 2004-03-01 2022-12-29 17:17:00   44021   10.286   \n",
       "826          NaN     NaN 1988-08-01 2022-12-29 01:35:00   87103    5.665   \n",
       "850      Charles    Male 1997-09-03 2022-12-29 10:04:00  148291    6.002   \n",
       "851        Bobby    Male 1996-08-19 2022-12-29 01:16:00  147842   16.158   \n",
       "853      Mildred  Female 2007-04-06 2022-12-29 22:06:00  139284   11.390   \n",
       "855      Phillip     NaN 2003-10-20 2022-12-29 11:09:00   89700    2.277   \n",
       "864         Ryan    Male 2012-11-16 2022-12-29 13:47:00   57292    6.010   \n",
       "912          Joe    Male 1998-12-08 2022-12-29 10:28:00  126120    1.020   \n",
       "951          NaN  Female 2010-09-14 2022-12-29 05:19:00  143638    9.662   \n",
       "\n",
       "     Senior Management Team  \n",
       "1                 True  NaN  \n",
       "10                True  NaN  \n",
       "23                True  NaN  \n",
       "32                True  NaN  \n",
       "91               False  NaN  \n",
       "109              False  NaN  \n",
       "139               True  NaN  \n",
       "199               True  NaN  \n",
       "258              False  NaN  \n",
       "290               True  NaN  \n",
       "314              False  NaN  \n",
       "367               True  NaN  \n",
       "382               True  NaN  \n",
       "434               True  NaN  \n",
       "438               True  NaN  \n",
       "445              False  NaN  \n",
       "479               True  NaN  \n",
       "512              False  NaN  \n",
       "513              False  NaN  \n",
       "520               True  NaN  \n",
       "567               True  NaN  \n",
       "573               True  NaN  \n",
       "580              False  NaN  \n",
       "626               True  NaN  \n",
       "634              False  NaN  \n",
       "635               True  NaN  \n",
       "647              False  NaN  \n",
       "669               True  NaN  \n",
       "684              False  NaN  \n",
       "706               True  NaN  \n",
       "726               True  NaN  \n",
       "753               True  NaN  \n",
       "774               True  NaN  \n",
       "781              False  NaN  \n",
       "794              False  NaN  \n",
       "826               True  NaN  \n",
       "850              False  NaN  \n",
       "851               True  NaN  \n",
       "853               True  NaN  \n",
       "855               True  NaN  \n",
       "864              False  NaN  \n",
       "912              False  NaN  \n",
       "951               True  NaN  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Team\"].isnull()] #Team i null olanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1408918f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-03-04</td>\n",
       "      <td>2022-12-29 13:00:00</td>\n",
       "      <td>138705</td>\n",
       "      <td>9.340</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>1998-01-24</td>\n",
       "      <td>2022-12-29 16:47:00</td>\n",
       "      <td>101004</td>\n",
       "      <td>1.389</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>Henry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-23</td>\n",
       "      <td>2022-12-29 06:09:00</td>\n",
       "      <td>132483</td>\n",
       "      <td>16.655</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>Phillip</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-01-31</td>\n",
       "      <td>2022-12-29 06:30:00</td>\n",
       "      <td>42392</td>\n",
       "      <td>19.675</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Russell</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-05-20</td>\n",
       "      <td>2022-12-29 12:39:00</td>\n",
       "      <td>96914</td>\n",
       "      <td>1.421</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Larry</td>\n",
       "      <td>Male</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>2022-12-29 16:45:00</td>\n",
       "      <td>60500</td>\n",
       "      <td>11.985</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-05-15</td>\n",
       "      <td>2022-12-29 18:24:00</td>\n",
       "      <td>129949</td>\n",
       "      <td>10.169</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>957 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "3        Jerry    Male 2005-03-04 2022-12-29 13:00:00  138705    9.340   \n",
       "4        Larry    Male 1998-01-24 2022-12-29 16:47:00  101004    1.389   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "995      Henry     NaN 2014-11-23 2022-12-29 06:09:00  132483   16.655   \n",
       "996    Phillip    Male 1984-01-31 2022-12-29 06:30:00   42392   19.675   \n",
       "997    Russell    Male 2013-05-20 2022-12-29 12:39:00   96914    1.421   \n",
       "998      Larry    Male 2013-04-20 2022-12-29 16:45:00   60500   11.985   \n",
       "999     Albert    Male 2012-05-15 2022-12-29 18:24:00  129949   10.169   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "0                 True             Marketing  \n",
       "2                False               Finance  \n",
       "3                 True               Finance  \n",
       "4                 True       Client Services  \n",
       "5                False                 Legal  \n",
       "..                 ...                   ...  \n",
       "995              False          Distribution  \n",
       "996              False               Finance  \n",
       "997              False               Product  \n",
       "998              False  Business Development  \n",
       "999               True                 Sales  \n",
       "\n",
       "[957 rows x 8 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Team\"].notnull()] #notnull da null olmayanları getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "a3e3bea4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1994-01-29</td>\n",
       "      <td>2022-12-29 18:48:00</td>\n",
       "      <td>58755</td>\n",
       "      <td>5.097</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-07-22</td>\n",
       "      <td>2022-12-29 14:53:00</td>\n",
       "      <td>52119</td>\n",
       "      <td>11.343</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2010-10-08</td>\n",
       "      <td>2022-12-29 21:53:00</td>\n",
       "      <td>45181</td>\n",
       "      <td>3.491</td>\n",
       "      <td>False</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Alan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-03-03</td>\n",
       "      <td>2022-12-29 13:28:00</td>\n",
       "      <td>40341</td>\n",
       "      <td>17.578</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>Alan</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-02-17</td>\n",
       "      <td>2022-12-29 00:26:00</td>\n",
       "      <td>41453</td>\n",
       "      <td>10.084</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1999-11-25</td>\n",
       "      <td>2022-12-29 06:16:00</td>\n",
       "      <td>42676</td>\n",
       "      <td>15.517</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2005-02-04</td>\n",
       "      <td>2022-12-29 13:01:00</td>\n",
       "      <td>40451</td>\n",
       "      <td>16.044</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1980-04-01</td>\n",
       "      <td>2022-12-29 20:04:00</td>\n",
       "      <td>48141</td>\n",
       "      <td>12.605</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-10-24</td>\n",
       "      <td>2022-12-29 09:23:00</td>\n",
       "      <td>47176</td>\n",
       "      <td>10.736</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1982-07-24</td>\n",
       "      <td>2022-12-29 00:00:00</td>\n",
       "      <td>57811</td>\n",
       "      <td>8.941</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>189 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "327      Aaron    Male 1994-01-29 2022-12-29 18:48:00   58755    5.097   \n",
       "440      Aaron    Male 1990-07-22 2022-12-29 14:53:00   52119   11.343   \n",
       "538       Adam    Male 2010-10-08 2022-12-29 21:53:00   45181    3.491   \n",
       "53        Alan     NaN 2014-03-03 2022-12-29 13:28:00   40341   17.578   \n",
       "610       Alan    Male 2012-02-17 2022-12-29 00:26:00   41453   10.084   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "257        NaN    Male 1999-11-25 2022-12-29 06:16:00   42676   15.517   \n",
       "267        NaN    Male 2005-02-04 2022-12-29 13:01:00   40451   16.044   \n",
       "567        NaN  Female 1980-04-01 2022-12-29 20:04:00   48141   12.605   \n",
       "773        NaN    Male 1986-10-24 2022-12-29 09:23:00   47176   10.736   \n",
       "785        NaN  Female 1982-07-24 2022-12-29 00:00:00   57811    8.941   \n",
       "\n",
       "     Senior Management             Team  \n",
       "327               True        Marketing  \n",
       "440               True  Client Services  \n",
       "538              False  Human Resources  \n",
       "53                True          Finance  \n",
       "610              False          Product  \n",
       "..                 ...              ...  \n",
       "257               True            Sales  \n",
       "267               True     Distribution  \n",
       "567               True              NaN  \n",
       "773               True          Finance  \n",
       "785               True        Marketing  \n",
       "\n",
       "[189 rows x 8 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Salary\"].between(40000,60000,inclusive=\"right\")] \n",
    "#between--> inclusive:{both,neither,left,right} dahil durumu AŞIRI ÖNEMLİ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7eaf4f7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-08-06</td>\n",
       "      <td>2022-12-29 12:42:00</td>\n",
       "      <td>97308</td>\n",
       "      <td>6.945</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ruby</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-08-17</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>65476</td>\n",
       "      <td>10.012</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shawn</td>\n",
       "      <td>Male</td>\n",
       "      <td>1986-12-07</td>\n",
       "      <td>2022-12-29 19:45:00</td>\n",
       "      <td>111737</td>\n",
       "      <td>6.414</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>Alice</td>\n",
       "      <td>Female</td>\n",
       "      <td>1988-09-03</td>\n",
       "      <td>2022-12-29 20:54:00</td>\n",
       "      <td>63571</td>\n",
       "      <td>15.397</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>Denise</td>\n",
       "      <td>Female</td>\n",
       "      <td>1992-10-19</td>\n",
       "      <td>2022-12-29 05:42:00</td>\n",
       "      <td>137954</td>\n",
       "      <td>4.195</td>\n",
       "      <td>True</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>James</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-01-15</td>\n",
       "      <td>2022-12-29 17:19:00</td>\n",
       "      <td>148985</td>\n",
       "      <td>19.280</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>Justin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1991-02-10</td>\n",
       "      <td>2022-12-29 16:58:00</td>\n",
       "      <td>38344</td>\n",
       "      <td>3.794</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>Robin</td>\n",
       "      <td>Female</td>\n",
       "      <td>1987-07-24</td>\n",
       "      <td>2022-12-29 13:35:00</td>\n",
       "      <td>100765</td>\n",
       "      <td>10.982</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "0      Douglas    Male 1993-08-06 2022-12-29 12:42:00   97308    6.945   \n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "6         Ruby  Female 1987-08-17 2022-12-29 16:20:00   65476   10.012   \n",
       "17       Shawn    Male 1986-12-07 2022-12-29 19:45:00  111737    6.414   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "970      Alice  Female 1988-09-03 2022-12-29 20:54:00   63571   15.397   \n",
       "976     Denise  Female 1992-10-19 2022-12-29 05:42:00  137954    4.195   \n",
       "981      James    Male 1993-01-15 2022-12-29 17:19:00  148985   19.280   \n",
       "989     Justin     NaN 1991-02-10 2022-12-29 16:58:00   38344    3.794   \n",
       "990      Robin  Female 1987-07-24 2022-12-29 13:35:00  100765   10.982   \n",
       "\n",
       "     Senior Management             Team  \n",
       "0                 True        Marketing  \n",
       "2                False          Finance  \n",
       "5                False            Legal  \n",
       "6                 True          Product  \n",
       "17               False          Product  \n",
       "..                 ...              ...  \n",
       "970               True          Product  \n",
       "976               True            Legal  \n",
       "981              False            Legal  \n",
       "989              False            Legal  \n",
       "990               True  Client Services  \n",
       "\n",
       "[227 rows x 8 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Start Date\"].between(\"1985-01-01\",\"1995-01-01\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "021d0420",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-04-23</td>\n",
       "      <td>2022-12-29 11:17:00</td>\n",
       "      <td>130590</td>\n",
       "      <td>11.858</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Louise</td>\n",
       "      <td>Female</td>\n",
       "      <td>1980-08-12</td>\n",
       "      <td>2022-12-29 09:01:00</td>\n",
       "      <td>63241</td>\n",
       "      <td>15.132</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Diana</td>\n",
       "      <td>Female</td>\n",
       "      <td>1981-10-23</td>\n",
       "      <td>2022-12-29 10:27:00</td>\n",
       "      <td>132940</td>\n",
       "      <td>19.082</td>\n",
       "      <td>False</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jean</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-12-18</td>\n",
       "      <td>2022-12-29 09:07:00</td>\n",
       "      <td>119082</td>\n",
       "      <td>16.180</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>963</th>\n",
       "      <td>Ann</td>\n",
       "      <td>Female</td>\n",
       "      <td>1994-09-23</td>\n",
       "      <td>2022-12-29 11:15:00</td>\n",
       "      <td>89443</td>\n",
       "      <td>17.940</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>Sarah</td>\n",
       "      <td>Female</td>\n",
       "      <td>1995-12-04</td>\n",
       "      <td>2022-12-29 09:16:00</td>\n",
       "      <td>124566</td>\n",
       "      <td>5.949</td>\n",
       "      <td>False</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>Rose</td>\n",
       "      <td>Female</td>\n",
       "      <td>1982-04-06</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>91411</td>\n",
       "      <td>8.639</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>Alice</td>\n",
       "      <td>Female</td>\n",
       "      <td>2004-10-05</td>\n",
       "      <td>2022-12-29 09:34:00</td>\n",
       "      <td>47638</td>\n",
       "      <td>11.209</td>\n",
       "      <td>False</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Anthony</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-10-16</td>\n",
       "      <td>2022-12-29 08:35:00</td>\n",
       "      <td>112769</td>\n",
       "      <td>11.625</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>158 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "2        Maria  Female 1993-04-23 2022-12-29 11:17:00  130590   11.858   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "10      Louise  Female 1980-08-12 2022-12-29 09:01:00   63241   15.132   \n",
       "18       Diana  Female 1981-10-23 2022-12-29 10:27:00  132940   19.082   \n",
       "33        Jean  Female 1993-12-18 2022-12-29 09:07:00  119082   16.180   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "963        Ann  Female 1994-09-23 2022-12-29 11:15:00   89443   17.940   \n",
       "977      Sarah  Female 1995-12-04 2022-12-29 09:16:00  124566    5.949   \n",
       "982       Rose  Female 1982-04-06 2022-12-29 10:43:00   91411    8.639   \n",
       "988      Alice  Female 2004-10-05 2022-12-29 09:34:00   47638   11.209   \n",
       "992    Anthony    Male 2011-10-16 2022-12-29 08:35:00  112769   11.625   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "2                False               Finance  \n",
       "7                 True               Finance  \n",
       "10                True                   NaN  \n",
       "18               False       Client Services  \n",
       "33               False  Business Development  \n",
       "..                 ...                   ...  \n",
       "963               True                 Sales  \n",
       "977              False               Product  \n",
       "982               True       Human Resources  \n",
       "988              False       Human Resources  \n",
       "992               True               Finance  \n",
       "\n",
       "[158 rows x 8 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"Last Login Time\"].between(\"08:30 AM\",\"12:30 PM\", inclusive=\"left\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "21712786",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-02-17</td>\n",
       "      <td>2022-12-29 10:20:00</td>\n",
       "      <td>61602</td>\n",
       "      <td>11.849</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1994-01-29</td>\n",
       "      <td>2022-12-29 18:48:00</td>\n",
       "      <td>58755</td>\n",
       "      <td>5.097</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-07-22</td>\n",
       "      <td>2022-12-29 14:53:00</td>\n",
       "      <td>52119</td>\n",
       "      <td>11.343</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1986-01-22</td>\n",
       "      <td>2022-12-29 19:39:00</td>\n",
       "      <td>63126</td>\n",
       "      <td>18.424</td>\n",
       "      <td>False</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-05-21</td>\n",
       "      <td>2022-12-29 01:45:00</td>\n",
       "      <td>95327</td>\n",
       "      <td>15.120</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2001-05-23</td>\n",
       "      <td>2022-12-29 19:52:00</td>\n",
       "      <td>103877</td>\n",
       "      <td>6.322</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2000-08-23</td>\n",
       "      <td>2022-12-29 16:19:00</td>\n",
       "      <td>95866</td>\n",
       "      <td>19.388</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1985-09-15</td>\n",
       "      <td>2022-12-29 01:50:00</td>\n",
       "      <td>133472</td>\n",
       "      <td>16.941</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-07-30</td>\n",
       "      <td>2022-12-29 15:07:00</td>\n",
       "      <td>107351</td>\n",
       "      <td>5.329</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2010-09-14</td>\n",
       "      <td>2022-12-29 05:19:00</td>\n",
       "      <td>143638</td>\n",
       "      <td>9.662</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "101      Aaron    Male 2012-02-17 2022-12-29 10:20:00   61602   11.849   \n",
       "327      Aaron    Male 1994-01-29 2022-12-29 18:48:00   58755    5.097   \n",
       "440      Aaron    Male 1990-07-22 2022-12-29 14:53:00   52119   11.343   \n",
       "937      Aaron     NaN 1986-01-22 2022-12-29 19:39:00   63126   18.424   \n",
       "137       Adam    Male 2011-05-21 2022-12-29 01:45:00   95327   15.120   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "902        NaN    Male 2001-05-23 2022-12-29 19:52:00  103877    6.322   \n",
       "925        NaN  Female 2000-08-23 2022-12-29 16:19:00   95866   19.388   \n",
       "946        NaN  Female 1985-09-15 2022-12-29 01:50:00  133472   16.941   \n",
       "947        NaN    Male 2012-07-30 2022-12-29 15:07:00  107351    5.329   \n",
       "951        NaN  Female 2010-09-14 2022-12-29 05:19:00  143638    9.662   \n",
       "\n",
       "     Senior Management             Team  \n",
       "101               True        Marketing  \n",
       "327               True        Marketing  \n",
       "440               True  Client Services  \n",
       "937              False  Client Services  \n",
       "137              False     Distribution  \n",
       "..                 ...              ...  \n",
       "902               True     Distribution  \n",
       "925               True            Sales  \n",
       "946               True     Distribution  \n",
       "947               True        Marketing  \n",
       "951               True              NaN  \n",
       "\n",
       "[1000 rows x 8 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df.sort_values(\"First Name\",inplace=True) \n",
    "#sort_values ile belirtilen column a göre sıralama yapılır.ascending i true olduğu için küçükten büyüğe doğru sıraladı\n",
    "emp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "4f9bdb62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101    False\n",
       "327     True\n",
       "440     True\n",
       "937     True\n",
       "137    False\n",
       "       ...  \n",
       "902     True\n",
       "925     True\n",
       "946     True\n",
       "947     True\n",
       "951     True\n",
       "Name: First Name, Length: 1000, dtype: bool"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"First Name\"].duplicated() \n",
    "#birden fazla olanları işaretler ya ilkini tutar ya sonunu tutar default olarak ilki tutar keep ile bunu değiştirebiliriz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a0b90b2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101     True\n",
       "327     True\n",
       "440     True\n",
       "937    False\n",
       "137     True\n",
       "       ...  \n",
       "902     True\n",
       "925     True\n",
       "946     True\n",
       "947     True\n",
       "951    False\n",
       "Name: First Name, Length: 1000, dtype: bool"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"First Name\"].duplicated(keep=\"last\") #sonuncusunu false olarak döndürür"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "03c43d69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1994-01-29</td>\n",
       "      <td>2022-12-29 18:48:00</td>\n",
       "      <td>58755</td>\n",
       "      <td>5.097</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-07-22</td>\n",
       "      <td>2022-12-29 14:53:00</td>\n",
       "      <td>52119</td>\n",
       "      <td>11.343</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1986-01-22</td>\n",
       "      <td>2022-12-29 19:39:00</td>\n",
       "      <td>63126</td>\n",
       "      <td>18.424</td>\n",
       "      <td>False</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-12-24</td>\n",
       "      <td>2022-12-29 20:57:00</td>\n",
       "      <td>110194</td>\n",
       "      <td>14.727</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-07-05</td>\n",
       "      <td>2022-12-29 11:59:00</td>\n",
       "      <td>71276</td>\n",
       "      <td>5.027</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2001-05-23</td>\n",
       "      <td>2022-12-29 19:52:00</td>\n",
       "      <td>103877</td>\n",
       "      <td>6.322</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2000-08-23</td>\n",
       "      <td>2022-12-29 16:19:00</td>\n",
       "      <td>95866</td>\n",
       "      <td>19.388</td>\n",
       "      <td>True</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1985-09-15</td>\n",
       "      <td>2022-12-29 01:50:00</td>\n",
       "      <td>133472</td>\n",
       "      <td>16.941</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-07-30</td>\n",
       "      <td>2022-12-29 15:07:00</td>\n",
       "      <td>107351</td>\n",
       "      <td>5.329</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2010-09-14</td>\n",
       "      <td>2022-12-29 05:19:00</td>\n",
       "      <td>143638</td>\n",
       "      <td>9.662</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>799 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "327      Aaron    Male 1994-01-29 2022-12-29 18:48:00   58755    5.097   \n",
       "440      Aaron    Male 1990-07-22 2022-12-29 14:53:00   52119   11.343   \n",
       "937      Aaron     NaN 1986-01-22 2022-12-29 19:39:00   63126   18.424   \n",
       "141       Adam    Male 1990-12-24 2022-12-29 20:57:00  110194   14.727   \n",
       "302       Adam    Male 2007-07-05 2022-12-29 11:59:00   71276    5.027   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "902        NaN    Male 2001-05-23 2022-12-29 19:52:00  103877    6.322   \n",
       "925        NaN  Female 2000-08-23 2022-12-29 16:19:00   95866   19.388   \n",
       "946        NaN  Female 1985-09-15 2022-12-29 01:50:00  133472   16.941   \n",
       "947        NaN    Male 2012-07-30 2022-12-29 15:07:00  107351    5.329   \n",
       "951        NaN  Female 2010-09-14 2022-12-29 05:19:00  143638    9.662   \n",
       "\n",
       "     Senior Management             Team  \n",
       "327               True        Marketing  \n",
       "440               True  Client Services  \n",
       "937              False  Client Services  \n",
       "141               True          Product  \n",
       "302               True  Human Resources  \n",
       "..                 ...              ...  \n",
       "902               True     Distribution  \n",
       "925               True            Sales  \n",
       "946               True     Distribution  \n",
       "947               True        Marketing  \n",
       "951               True              NaN  \n",
       "\n",
       "[799 rows x 8 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[emp_df[\"First Name\"].duplicated()] \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2dbc83c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-02-17</td>\n",
       "      <td>2022-12-29 10:20:00</td>\n",
       "      <td>61602</td>\n",
       "      <td>11.849</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-05-21</td>\n",
       "      <td>2022-12-29 01:45:00</td>\n",
       "      <td>95327</td>\n",
       "      <td>15.120</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Alan</td>\n",
       "      <td>Male</td>\n",
       "      <td>1988-06-26</td>\n",
       "      <td>2022-12-29 03:54:00</td>\n",
       "      <td>111786</td>\n",
       "      <td>3.592</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-02-01</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>67827</td>\n",
       "      <td>19.717</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>Alice</td>\n",
       "      <td>Female</td>\n",
       "      <td>2004-10-05</td>\n",
       "      <td>2022-12-29 09:34:00</td>\n",
       "      <td>47638</td>\n",
       "      <td>11.209</td>\n",
       "      <td>False</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>Wanda</td>\n",
       "      <td>Female</td>\n",
       "      <td>2008-07-20</td>\n",
       "      <td>2022-12-29 13:44:00</td>\n",
       "      <td>65362</td>\n",
       "      <td>7.132</td>\n",
       "      <td>True</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Wayne</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-04-07</td>\n",
       "      <td>2022-12-29 08:00:00</td>\n",
       "      <td>102652</td>\n",
       "      <td>14.085</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>William</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-11-18</td>\n",
       "      <td>2022-12-29 12:27:00</td>\n",
       "      <td>54058</td>\n",
       "      <td>5.182</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>Willie</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-08-22</td>\n",
       "      <td>2022-12-29 13:03:00</td>\n",
       "      <td>55038</td>\n",
       "      <td>19.691</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>201 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "101      Aaron    Male 2012-02-17 2022-12-29 10:20:00   61602   11.849   \n",
       "137       Adam    Male 2011-05-21 2022-12-29 01:45:00   95327   15.120   \n",
       "300       Alan    Male 1988-06-26 2022-12-29 03:54:00  111786    3.592   \n",
       "372     Albert    Male 1997-02-01 2022-12-29 16:20:00   67827   19.717   \n",
       "988      Alice  Female 2004-10-05 2022-12-29 09:34:00   47638   11.209   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "433      Wanda  Female 2008-07-20 2022-12-29 13:44:00   65362    7.132   \n",
       "177      Wayne    Male 2012-04-07 2022-12-29 08:00:00  102652   14.085   \n",
       "820    William    Male 1993-11-18 2022-12-29 12:27:00   54058    5.182   \n",
       "450     Willie    Male 2009-08-22 2022-12-29 13:03:00   55038   19.691   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "\n",
       "     Senior Management             Team  \n",
       "101               True        Marketing  \n",
       "137              False     Distribution  \n",
       "300               True      Engineering  \n",
       "372               True      Engineering  \n",
       "988              False  Human Resources  \n",
       "..                 ...              ...  \n",
       "433               True            Legal  \n",
       "177               True     Distribution  \n",
       "820               True  Human Resources  \n",
       "450              False            Legal  \n",
       "7                 True          Finance  \n",
       "\n",
       "[201 rows x 8 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[~emp_df[\"First Name\"].duplicated()] # ~not demek bu işaret  \n",
    "#dublicated olmayanları yani false dönen değerleri getirdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "3262430c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Angela</td>\n",
       "      <td>Female</td>\n",
       "      <td>2005-11-22</td>\n",
       "      <td>2022-12-29 06:29:00</td>\n",
       "      <td>95570</td>\n",
       "      <td>18.523</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>Brian</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-04-07</td>\n",
       "      <td>2022-12-29 22:47:00</td>\n",
       "      <td>93901</td>\n",
       "      <td>17.821</td>\n",
       "      <td>True</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Carol</td>\n",
       "      <td>Female</td>\n",
       "      <td>1996-03-19</td>\n",
       "      <td>2022-12-29 03:39:00</td>\n",
       "      <td>57783</td>\n",
       "      <td>9.129</td>\n",
       "      <td>False</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>David</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-12-05</td>\n",
       "      <td>2022-12-29 08:48:00</td>\n",
       "      <td>92242</td>\n",
       "      <td>15.407</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Male</td>\n",
       "      <td>1987-04-18</td>\n",
       "      <td>2022-12-29 01:35:00</td>\n",
       "      <td>115163</td>\n",
       "      <td>10.125</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>Eugene</td>\n",
       "      <td>Male</td>\n",
       "      <td>1984-05-24</td>\n",
       "      <td>2022-12-29 10:54:00</td>\n",
       "      <td>81077</td>\n",
       "      <td>2.117</td>\n",
       "      <td>False</td>\n",
       "      <td>Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jean</td>\n",
       "      <td>Female</td>\n",
       "      <td>1993-12-18</td>\n",
       "      <td>2022-12-29 09:07:00</td>\n",
       "      <td>119082</td>\n",
       "      <td>16.180</td>\n",
       "      <td>False</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>Keith</td>\n",
       "      <td>Male</td>\n",
       "      <td>2003-02-12</td>\n",
       "      <td>2022-12-29 15:02:00</td>\n",
       "      <td>120672</td>\n",
       "      <td>19.467</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>Tammy</td>\n",
       "      <td>Female</td>\n",
       "      <td>1984-11-11</td>\n",
       "      <td>2022-12-29 10:30:00</td>\n",
       "      <td>132839</td>\n",
       "      <td>17.463</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "8       Angela  Female 2005-11-22 2022-12-29 06:29:00   95570   18.523   \n",
       "688      Brian    Male 2007-04-07 2022-12-29 22:47:00   93901   17.821   \n",
       "190      Carol  Female 1996-03-19 2022-12-29 03:39:00   57783    9.129   \n",
       "887      David    Male 2009-12-05 2022-12-29 08:48:00   92242   15.407   \n",
       "5       Dennis    Male 1987-04-18 2022-12-29 01:35:00  115163   10.125   \n",
       "495     Eugene    Male 1984-05-24 2022-12-29 10:54:00   81077    2.117   \n",
       "33        Jean  Female 1993-12-18 2022-12-29 09:07:00  119082   16.180   \n",
       "832      Keith    Male 2003-02-12 2022-12-29 15:02:00  120672   19.467   \n",
       "291      Tammy  Female 1984-11-11 2022-12-29 10:30:00  132839   17.463   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "8                 True           Engineering  \n",
       "688               True                 Legal  \n",
       "190              False               Finance  \n",
       "887              False                 Legal  \n",
       "5                False                 Legal  \n",
       "495              False                 Sales  \n",
       "33               False  Business Development  \n",
       "832              False                 Legal  \n",
       "291               True       Client Services  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[~emp_df[\"First Name\"].duplicated(keep=False)] #keep=false hiçbirini tutma demek\n",
    "#unique olanları dönüyor keep sayesinde"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f93ffb5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(emp_df.drop_duplicates())#kayıt bazında aynı kayıt var mı bakar siler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "07da04f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-02-17</td>\n",
       "      <td>2022-12-29 10:20:00</td>\n",
       "      <td>61602</td>\n",
       "      <td>11.849</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-05-21</td>\n",
       "      <td>2022-12-29 01:45:00</td>\n",
       "      <td>95327</td>\n",
       "      <td>15.120</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Alan</td>\n",
       "      <td>Male</td>\n",
       "      <td>1988-06-26</td>\n",
       "      <td>2022-12-29 03:54:00</td>\n",
       "      <td>111786</td>\n",
       "      <td>3.592</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Albert</td>\n",
       "      <td>Male</td>\n",
       "      <td>1997-02-01</td>\n",
       "      <td>2022-12-29 16:20:00</td>\n",
       "      <td>67827</td>\n",
       "      <td>19.717</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>Alice</td>\n",
       "      <td>Female</td>\n",
       "      <td>2004-10-05</td>\n",
       "      <td>2022-12-29 09:34:00</td>\n",
       "      <td>47638</td>\n",
       "      <td>11.209</td>\n",
       "      <td>False</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>Wanda</td>\n",
       "      <td>Female</td>\n",
       "      <td>2008-07-20</td>\n",
       "      <td>2022-12-29 13:44:00</td>\n",
       "      <td>65362</td>\n",
       "      <td>7.132</td>\n",
       "      <td>True</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Wayne</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-04-07</td>\n",
       "      <td>2022-12-29 08:00:00</td>\n",
       "      <td>102652</td>\n",
       "      <td>14.085</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>William</td>\n",
       "      <td>Male</td>\n",
       "      <td>1993-11-18</td>\n",
       "      <td>2022-12-29 12:27:00</td>\n",
       "      <td>54058</td>\n",
       "      <td>5.182</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>Willie</td>\n",
       "      <td>Male</td>\n",
       "      <td>2009-08-22</td>\n",
       "      <td>2022-12-29 13:03:00</td>\n",
       "      <td>55038</td>\n",
       "      <td>19.691</td>\n",
       "      <td>False</td>\n",
       "      <td>Legal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2015-07-20</td>\n",
       "      <td>2022-12-29 10:43:00</td>\n",
       "      <td>45906</td>\n",
       "      <td>11.598</td>\n",
       "      <td>True</td>\n",
       "      <td>Finance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>201 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "101      Aaron    Male 2012-02-17 2022-12-29 10:20:00   61602   11.849   \n",
       "137       Adam    Male 2011-05-21 2022-12-29 01:45:00   95327   15.120   \n",
       "300       Alan    Male 1988-06-26 2022-12-29 03:54:00  111786    3.592   \n",
       "372     Albert    Male 1997-02-01 2022-12-29 16:20:00   67827   19.717   \n",
       "988      Alice  Female 2004-10-05 2022-12-29 09:34:00   47638   11.209   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "433      Wanda  Female 2008-07-20 2022-12-29 13:44:00   65362    7.132   \n",
       "177      Wayne    Male 2012-04-07 2022-12-29 08:00:00  102652   14.085   \n",
       "820    William    Male 1993-11-18 2022-12-29 12:27:00   54058    5.182   \n",
       "450     Willie    Male 2009-08-22 2022-12-29 13:03:00   55038   19.691   \n",
       "7          NaN  Female 2015-07-20 2022-12-29 10:43:00   45906   11.598   \n",
       "\n",
       "     Senior Management             Team  \n",
       "101               True        Marketing  \n",
       "137              False     Distribution  \n",
       "300               True      Engineering  \n",
       "372               True      Engineering  \n",
       "988              False  Human Resources  \n",
       "..                 ...              ...  \n",
       "433               True            Legal  \n",
       "177               True     Distribution  \n",
       "820               True  Human Resources  \n",
       "450              False            Legal  \n",
       "7                 True          Finance  \n",
       "\n",
       "[201 rows x 8 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df.drop_duplicates(subset=\"First Name\")# First Name columndaki aynı kayıtlara bakar ve siler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "876ce86c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Start Date</th>\n",
       "      <th>Last Login Time</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Bonus %</th>\n",
       "      <th>Senior Management</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>2012-02-17</td>\n",
       "      <td>2022-12-29 10:20:00</td>\n",
       "      <td>61602</td>\n",
       "      <td>11.849</td>\n",
       "      <td>True</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Aaron</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-07-22</td>\n",
       "      <td>2022-12-29 14:53:00</td>\n",
       "      <td>52119</td>\n",
       "      <td>11.343</td>\n",
       "      <td>True</td>\n",
       "      <td>Client Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2011-05-21</td>\n",
       "      <td>2022-12-29 01:45:00</td>\n",
       "      <td>95327</td>\n",
       "      <td>15.120</td>\n",
       "      <td>False</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>1990-12-24</td>\n",
       "      <td>2022-12-29 20:57:00</td>\n",
       "      <td>110194</td>\n",
       "      <td>14.727</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Adam</td>\n",
       "      <td>Male</td>\n",
       "      <td>2007-07-05</td>\n",
       "      <td>2022-12-29 11:59:00</td>\n",
       "      <td>71276</td>\n",
       "      <td>5.027</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2014-08-17</td>\n",
       "      <td>2022-12-29 14:00:00</td>\n",
       "      <td>86230</td>\n",
       "      <td>8.578</td>\n",
       "      <td>True</td>\n",
       "      <td>Distribution</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2005-07-27</td>\n",
       "      <td>2022-12-29 08:32:00</td>\n",
       "      <td>79536</td>\n",
       "      <td>14.443</td>\n",
       "      <td>True</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>1992-08-02</td>\n",
       "      <td>2022-12-29 20:35:00</td>\n",
       "      <td>145316</td>\n",
       "      <td>18.517</td>\n",
       "      <td>True</td>\n",
       "      <td>Human Resources</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>2010-01-27</td>\n",
       "      <td>2022-12-29 02:57:00</td>\n",
       "      <td>87760</td>\n",
       "      <td>14.987</td>\n",
       "      <td>True</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>2013-04-27</td>\n",
       "      <td>2022-12-29 06:40:00</td>\n",
       "      <td>93847</td>\n",
       "      <td>1.085</td>\n",
       "      <td>True</td>\n",
       "      <td>Business Development</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>769 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name  Gender Start Date     Last Login Time  Salary  Bonus %  \\\n",
       "101      Aaron    Male 2012-02-17 2022-12-29 10:20:00   61602   11.849   \n",
       "440      Aaron    Male 1990-07-22 2022-12-29 14:53:00   52119   11.343   \n",
       "137       Adam    Male 2011-05-21 2022-12-29 01:45:00   95327   15.120   \n",
       "141       Adam    Male 1990-12-24 2022-12-29 20:57:00  110194   14.727   \n",
       "302       Adam    Male 2007-07-05 2022-12-29 11:59:00   71276    5.027   \n",
       "..         ...     ...        ...                 ...     ...      ...   \n",
       "149        NaN  Female 2014-08-17 2022-12-29 14:00:00   86230    8.578   \n",
       "157        NaN  Female 2005-07-27 2022-12-29 08:32:00   79536   14.443   \n",
       "269        NaN  Female 1992-08-02 2022-12-29 20:35:00  145316   18.517   \n",
       "329        NaN    Male 2010-01-27 2022-12-29 02:57:00   87760   14.987   \n",
       "481        NaN  Female 2013-04-27 2022-12-29 06:40:00   93847    1.085   \n",
       "\n",
       "     Senior Management                  Team  \n",
       "101               True             Marketing  \n",
       "440               True       Client Services  \n",
       "137              False          Distribution  \n",
       "141               True               Product  \n",
       "302               True       Human Resources  \n",
       "..                 ...                   ...  \n",
       "149               True          Distribution  \n",
       "157               True               Product  \n",
       "269               True       Human Resources  \n",
       "329               True           Engineering  \n",
       "481               True  Business Development  \n",
       "\n",
       "[769 rows x 8 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df.drop_duplicates(subset=[\"First Name\",\"Team\"]) #adı ve takımı aynı olanları siler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "f73691fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Male', NaN, 'Female']\n",
       "Categories (2, object): ['Female', 'Male']"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"Gender\"].unique() #GENDER DA geçen unique biricik değerleri verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "212d549f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Aaron', 'Adam', 'Alan', 'Albert', 'Alice', 'Amanda', 'Amy',\n",
       "       'Andrea', 'Andrew', 'Angela', 'Ann', 'Anna', 'Anne', 'Annie',\n",
       "       'Anthony', 'Antonio', 'Arthur', 'Ashley', 'Barbara', 'Benjamin',\n",
       "       'Betty', 'Beverly', 'Billy', 'Bobby', 'Bonnie', 'Brandon',\n",
       "       'Brenda', 'Brian', 'Bruce', 'Carl', 'Carlos', 'Carol', 'Carolyn',\n",
       "       'Catherine', 'Charles', 'Cheryl', 'Chris', 'Christina',\n",
       "       'Christine', 'Christopher', 'Clarence', 'Craig', 'Cynthia',\n",
       "       'Daniel', 'David', 'Deborah', 'Debra', 'Denise', 'Dennis', 'Diana',\n",
       "       'Diane', 'Donald', 'Donna', 'Doris', 'Dorothy', 'Douglas', 'Earl',\n",
       "       'Edward', 'Elizabeth', 'Emily', 'Eric', 'Ernest', 'Eugene',\n",
       "       'Evelyn', 'Frances', 'Frank', 'Fred', 'Gary', 'George', 'Gerald',\n",
       "       'Gloria', 'Gregory', 'Harold', 'Harry', 'Heather', 'Helen',\n",
       "       'Henry', 'Howard', 'Irene', 'Jack', 'Jacqueline', 'James', 'Jane',\n",
       "       'Janet', 'Janice', 'Jason', 'Jean', 'Jeffrey', 'Jennifer',\n",
       "       'Jeremy', 'Jerry', 'Jesse', 'Jessica', 'Jimmy', 'Joan', 'Joe',\n",
       "       'John', 'Johnny', 'Jonathan', 'Jose', 'Joseph', 'Joshua', 'Joyce',\n",
       "       'Juan', 'Judith', 'Judy', 'Julia', 'Julie', 'Justin', 'Karen',\n",
       "       'Katherine', 'Kathleen', 'Kathryn', 'Kathy', 'Keith', 'Kelly',\n",
       "       'Kenneth', 'Kevin', 'Kimberly', 'Larry', 'Laura', 'Lawrence',\n",
       "       'Lillian', 'Linda', 'Lisa', 'Lois', 'Lori', 'Louis', 'Louise',\n",
       "       'Margaret', 'Maria', 'Marie', 'Marilyn', 'Mark', 'Martha',\n",
       "       'Martin', 'Mary', 'Matthew', 'Melissa', 'Michael', 'Michelle',\n",
       "       'Mildred', 'Nancy', 'Nicholas', 'Nicole', 'Norma', 'Pamela',\n",
       "       'Patricia', 'Patrick', 'Paul', 'Paula', 'Peter', 'Philip',\n",
       "       'Phillip', 'Phyllis', 'Rachel', 'Ralph', 'Randy', 'Raymond',\n",
       "       'Rebecca', 'Richard', 'Robert', 'Robin', 'Roger', 'Ronald', 'Rose',\n",
       "       'Roy', 'Ruby', 'Russell', 'Ruth', 'Ryan', 'Samuel', 'Sandra',\n",
       "       'Sara', 'Sarah', 'Scott', 'Sean', 'Sharon', 'Shawn', 'Shirley',\n",
       "       'Stephanie', 'Stephen', 'Steve', 'Steven', 'Susan', 'Tammy',\n",
       "       'Teresa', 'Terry', 'Theresa', 'Thomas', 'Timothy', 'Tina', 'Todd',\n",
       "       'Victor', 'Virginia', 'Walter', 'Wanda', 'Wayne', 'William',\n",
       "       'Willie', nan], dtype=object)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"First Name\"].unique() #unique olan isimleri verir "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1f83d6b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "201"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(emp_df[\"First Name\"].unique()) #uzunluğu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c1f0ac7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"First Name\"].nunique() \n",
    "#dropna sı default olarak True dur ve null ları saymaz hepsini saysın istersek dropna sını false yapmalıyız"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cba8ec79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "201"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df[\"First Name\"].nunique(dropna=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "3c24234c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dr. No</td>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>From Russia with Love</td>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Goldfinger</td>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Live and Let Die</td>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Man with the Golden Gun</td>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Spy Who Loved Me</td>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moonraker</td>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>For Your Eyes Only</td>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Never Say Never Again</td>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Octopussy</td>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>A View to a Kill</td>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Living Daylights</td>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Licence to Kill</td>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GoldenEye</td>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tomorrow Never Dies</td>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The World Is Not Enough</td>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Die Another Day</td>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Film  Year           Actor            Director  \\\n",
       "0                            Dr. No  1962    Sean Connery       Terence Young   \n",
       "1             From Russia with Love  1963    Sean Connery       Terence Young   \n",
       "2                        Goldfinger  1964    Sean Connery        Guy Hamilton   \n",
       "3                       Thunderball  1965    Sean Connery       Terence Young   \n",
       "4                     Casino Royale  1967     David Niven          Ken Hughes   \n",
       "5               You Only Live Twice  1967    Sean Connery       Lewis Gilbert   \n",
       "6   On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "7              Diamonds Are Forever  1971    Sean Connery        Guy Hamilton   \n",
       "8                  Live and Let Die  1973     Roger Moore        Guy Hamilton   \n",
       "9       The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "10             The Spy Who Loved Me  1977     Roger Moore       Lewis Gilbert   \n",
       "11                        Moonraker  1979     Roger Moore       Lewis Gilbert   \n",
       "12               For Your Eyes Only  1981     Roger Moore           John Glen   \n",
       "13            Never Say Never Again  1983    Sean Connery      Irvin Kershner   \n",
       "14                        Octopussy  1983     Roger Moore           John Glen   \n",
       "15                 A View to a Kill  1985     Roger Moore           John Glen   \n",
       "16             The Living Daylights  1987  Timothy Dalton           John Glen   \n",
       "17                  Licence to Kill  1989  Timothy Dalton           John Glen   \n",
       "18                        GoldenEye  1995  Pierce Brosnan     Martin Campbell   \n",
       "19              Tomorrow Never Dies  1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "20          The World Is Not Enough  1999  Pierce Brosnan       Michael Apted   \n",
       "21                  Die Another Day  2002  Pierce Brosnan        Lee Tamahori   \n",
       "22                    Casino Royale  2006    Daniel Craig     Martin Campbell   \n",
       "23                Quantum of Solace  2008    Daniel Craig        Marc Forster   \n",
       "24                          Skyfall  2012    Daniel Craig          Sam Mendes   \n",
       "25                          Spectre  2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "    Box Office  Budget  Bond Actor Salary  \n",
       "0        448.8     7.0                0.6  \n",
       "1        543.8    12.6                1.6  \n",
       "2        820.4    18.6                3.2  \n",
       "3        848.1    41.9                4.7  \n",
       "4        315.0    85.0                NaN  \n",
       "5        514.2    59.9                4.4  \n",
       "6        291.5    37.3                0.6  \n",
       "7        442.5    34.7                5.8  \n",
       "8        460.3    30.8                NaN  \n",
       "9        334.0    27.7                NaN  \n",
       "10       533.0    45.1                NaN  \n",
       "11       535.0    91.5                NaN  \n",
       "12       449.4    60.2                NaN  \n",
       "13       380.0    86.0                NaN  \n",
       "14       373.8    53.9                7.8  \n",
       "15       275.2    54.5                9.1  \n",
       "16       313.5    68.8                5.2  \n",
       "17       250.9    56.7                7.9  \n",
       "18       518.5    76.9                5.1  \n",
       "19       463.2   133.9               10.0  \n",
       "20       439.5   158.3               13.5  \n",
       "21       465.4   154.2               17.9  \n",
       "22       581.5   145.3                3.3  \n",
       "23       514.2   181.4                8.1  \n",
       "24       943.5   170.2               14.5  \n",
       "25       726.7   206.3                NaN  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb=pd.read_csv(\"resources/resources/jamesbond.csv\")\n",
    "emp_jb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "467c4626",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Year           Actor            Director  \\\n",
       "Film                                                                        \n",
       "Dr. No                           1962    Sean Connery       Terence Young   \n",
       "From Russia with Love            1963    Sean Connery       Terence Young   \n",
       "Goldfinger                       1964    Sean Connery        Guy Hamilton   \n",
       "Thunderball                      1965    Sean Connery       Terence Young   \n",
       "Casino Royale                    1967     David Niven          Ken Hughes   \n",
       "You Only Live Twice              1967    Sean Connery       Lewis Gilbert   \n",
       "On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "Diamonds Are Forever             1971    Sean Connery        Guy Hamilton   \n",
       "Live and Let Die                 1973     Roger Moore        Guy Hamilton   \n",
       "The Man with the Golden Gun      1974     Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me             1977     Roger Moore       Lewis Gilbert   \n",
       "Moonraker                        1979     Roger Moore       Lewis Gilbert   \n",
       "For Your Eyes Only               1981     Roger Moore           John Glen   \n",
       "Never Say Never Again            1983    Sean Connery      Irvin Kershner   \n",
       "Octopussy                        1983     Roger Moore           John Glen   \n",
       "A View to a Kill                 1985     Roger Moore           John Glen   \n",
       "The Living Daylights             1987  Timothy Dalton           John Glen   \n",
       "Licence to Kill                  1989  Timothy Dalton           John Glen   \n",
       "GoldenEye                        1995  Pierce Brosnan     Martin Campbell   \n",
       "Tomorrow Never Dies              1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "The World Is Not Enough          1999  Pierce Brosnan       Michael Apted   \n",
       "Die Another Day                  2002  Pierce Brosnan        Lee Tamahori   \n",
       "Casino Royale                    2006    Daniel Craig     Martin Campbell   \n",
       "Quantum of Solace                2008    Daniel Craig        Marc Forster   \n",
       "Skyfall                          2012    Daniel Craig          Sam Mendes   \n",
       "Spectre                          2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "                                 Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                    \n",
       "Dr. No                                448.8     7.0                0.6  \n",
       "From Russia with Love                 543.8    12.6                1.6  \n",
       "Goldfinger                            820.4    18.6                3.2  \n",
       "Thunderball                           848.1    41.9                4.7  \n",
       "Casino Royale                         315.0    85.0                NaN  \n",
       "You Only Live Twice                   514.2    59.9                4.4  \n",
       "On Her Majesty's Secret Service       291.5    37.3                0.6  \n",
       "Diamonds Are Forever                  442.5    34.7                5.8  \n",
       "Live and Let Die                      460.3    30.8                NaN  \n",
       "The Man with the Golden Gun           334.0    27.7                NaN  \n",
       "The Spy Who Loved Me                  533.0    45.1                NaN  \n",
       "Moonraker                             535.0    91.5                NaN  \n",
       "For Your Eyes Only                    449.4    60.2                NaN  \n",
       "Never Say Never Again                 380.0    86.0                NaN  \n",
       "Octopussy                             373.8    53.9                7.8  \n",
       "A View to a Kill                      275.2    54.5                9.1  \n",
       "The Living Daylights                  313.5    68.8                5.2  \n",
       "Licence to Kill                       250.9    56.7                7.9  \n",
       "GoldenEye                             518.5    76.9                5.1  \n",
       "Tomorrow Never Dies                   463.2   133.9               10.0  \n",
       "The World Is Not Enough               439.5   158.3               13.5  \n",
       "Die Another Day                       465.4   154.2               17.9  \n",
       "Casino Royale                         581.5   145.3                3.3  \n",
       "Quantum of Solace                     514.2   181.4                8.1  \n",
       "Skyfall                               943.5   170.2               14.5  \n",
       "Spectre                               726.7   206.3                NaN  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb=pd.read_csv(\"resources/resources/jamesbond.csv\",index_col=\"Film\")\n",
    "emp_jb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "fe1529be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dr. No</td>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>From Russia with Love</td>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Goldfinger</td>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Live and Let Die</td>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Man with the Golden Gun</td>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Spy Who Loved Me</td>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moonraker</td>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>For Your Eyes Only</td>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Never Say Never Again</td>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Octopussy</td>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>A View to a Kill</td>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Living Daylights</td>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Licence to Kill</td>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GoldenEye</td>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tomorrow Never Dies</td>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The World Is Not Enough</td>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Die Another Day</td>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Film  Year           Actor            Director  \\\n",
       "0                            Dr. No  1962    Sean Connery       Terence Young   \n",
       "1             From Russia with Love  1963    Sean Connery       Terence Young   \n",
       "2                        Goldfinger  1964    Sean Connery        Guy Hamilton   \n",
       "3                       Thunderball  1965    Sean Connery       Terence Young   \n",
       "4                     Casino Royale  1967     David Niven          Ken Hughes   \n",
       "5               You Only Live Twice  1967    Sean Connery       Lewis Gilbert   \n",
       "6   On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "7              Diamonds Are Forever  1971    Sean Connery        Guy Hamilton   \n",
       "8                  Live and Let Die  1973     Roger Moore        Guy Hamilton   \n",
       "9       The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "10             The Spy Who Loved Me  1977     Roger Moore       Lewis Gilbert   \n",
       "11                        Moonraker  1979     Roger Moore       Lewis Gilbert   \n",
       "12               For Your Eyes Only  1981     Roger Moore           John Glen   \n",
       "13            Never Say Never Again  1983    Sean Connery      Irvin Kershner   \n",
       "14                        Octopussy  1983     Roger Moore           John Glen   \n",
       "15                 A View to a Kill  1985     Roger Moore           John Glen   \n",
       "16             The Living Daylights  1987  Timothy Dalton           John Glen   \n",
       "17                  Licence to Kill  1989  Timothy Dalton           John Glen   \n",
       "18                        GoldenEye  1995  Pierce Brosnan     Martin Campbell   \n",
       "19              Tomorrow Never Dies  1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "20          The World Is Not Enough  1999  Pierce Brosnan       Michael Apted   \n",
       "21                  Die Another Day  2002  Pierce Brosnan        Lee Tamahori   \n",
       "22                    Casino Royale  2006    Daniel Craig     Martin Campbell   \n",
       "23                Quantum of Solace  2008    Daniel Craig        Marc Forster   \n",
       "24                          Skyfall  2012    Daniel Craig          Sam Mendes   \n",
       "25                          Spectre  2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "    Box Office  Budget  Bond Actor Salary  \n",
       "0        448.8     7.0                0.6  \n",
       "1        543.8    12.6                1.6  \n",
       "2        820.4    18.6                3.2  \n",
       "3        848.1    41.9                4.7  \n",
       "4        315.0    85.0                NaN  \n",
       "5        514.2    59.9                4.4  \n",
       "6        291.5    37.3                0.6  \n",
       "7        442.5    34.7                5.8  \n",
       "8        460.3    30.8                NaN  \n",
       "9        334.0    27.7                NaN  \n",
       "10       533.0    45.1                NaN  \n",
       "11       535.0    91.5                NaN  \n",
       "12       449.4    60.2                NaN  \n",
       "13       380.0    86.0                NaN  \n",
       "14       373.8    53.9                7.8  \n",
       "15       275.2    54.5                9.1  \n",
       "16       313.5    68.8                5.2  \n",
       "17       250.9    56.7                7.9  \n",
       "18       518.5    76.9                5.1  \n",
       "19       463.2   133.9               10.0  \n",
       "20       439.5   158.3               13.5  \n",
       "21       465.4   154.2               17.9  \n",
       "22       581.5   145.3                3.3  \n",
       "23       514.2   181.4                8.1  \n",
       "24       943.5   170.2               14.5  \n",
       "25       726.7   206.3                NaN  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb=pd.read_csv(\"resources/resources/jamesbond.csv\")\n",
    "emp_jb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "7f752762",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Year           Actor            Director  \\\n",
       "Film                                                                        \n",
       "Dr. No                           1962    Sean Connery       Terence Young   \n",
       "From Russia with Love            1963    Sean Connery       Terence Young   \n",
       "Goldfinger                       1964    Sean Connery        Guy Hamilton   \n",
       "Thunderball                      1965    Sean Connery       Terence Young   \n",
       "Casino Royale                    1967     David Niven          Ken Hughes   \n",
       "You Only Live Twice              1967    Sean Connery       Lewis Gilbert   \n",
       "On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "Diamonds Are Forever             1971    Sean Connery        Guy Hamilton   \n",
       "Live and Let Die                 1973     Roger Moore        Guy Hamilton   \n",
       "The Man with the Golden Gun      1974     Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me             1977     Roger Moore       Lewis Gilbert   \n",
       "Moonraker                        1979     Roger Moore       Lewis Gilbert   \n",
       "For Your Eyes Only               1981     Roger Moore           John Glen   \n",
       "Never Say Never Again            1983    Sean Connery      Irvin Kershner   \n",
       "Octopussy                        1983     Roger Moore           John Glen   \n",
       "A View to a Kill                 1985     Roger Moore           John Glen   \n",
       "The Living Daylights             1987  Timothy Dalton           John Glen   \n",
       "Licence to Kill                  1989  Timothy Dalton           John Glen   \n",
       "GoldenEye                        1995  Pierce Brosnan     Martin Campbell   \n",
       "Tomorrow Never Dies              1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "The World Is Not Enough          1999  Pierce Brosnan       Michael Apted   \n",
       "Die Another Day                  2002  Pierce Brosnan        Lee Tamahori   \n",
       "Casino Royale                    2006    Daniel Craig     Martin Campbell   \n",
       "Quantum of Solace                2008    Daniel Craig        Marc Forster   \n",
       "Skyfall                          2012    Daniel Craig          Sam Mendes   \n",
       "Spectre                          2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "                                 Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                    \n",
       "Dr. No                                448.8     7.0                0.6  \n",
       "From Russia with Love                 543.8    12.6                1.6  \n",
       "Goldfinger                            820.4    18.6                3.2  \n",
       "Thunderball                           848.1    41.9                4.7  \n",
       "Casino Royale                         315.0    85.0                NaN  \n",
       "You Only Live Twice                   514.2    59.9                4.4  \n",
       "On Her Majesty's Secret Service       291.5    37.3                0.6  \n",
       "Diamonds Are Forever                  442.5    34.7                5.8  \n",
       "Live and Let Die                      460.3    30.8                NaN  \n",
       "The Man with the Golden Gun           334.0    27.7                NaN  \n",
       "The Spy Who Loved Me                  533.0    45.1                NaN  \n",
       "Moonraker                             535.0    91.5                NaN  \n",
       "For Your Eyes Only                    449.4    60.2                NaN  \n",
       "Never Say Never Again                 380.0    86.0                NaN  \n",
       "Octopussy                             373.8    53.9                7.8  \n",
       "A View to a Kill                      275.2    54.5                9.1  \n",
       "The Living Daylights                  313.5    68.8                5.2  \n",
       "Licence to Kill                       250.9    56.7                7.9  \n",
       "GoldenEye                             518.5    76.9                5.1  \n",
       "Tomorrow Never Dies                   463.2   133.9               10.0  \n",
       "The World Is Not Enough               439.5   158.3               13.5  \n",
       "Die Another Day                       465.4   154.2               17.9  \n",
       "Casino Royale                         581.5   145.3                3.3  \n",
       "Quantum of Solace                     514.2   181.4                8.1  \n",
       "Skyfall                               943.5   170.2               14.5  \n",
       "Spectre                               726.7   206.3                NaN  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.set_index(keys=\"Film\") #set_index ile istediğmiz yeri indexleyebiliriz index_col gibi\n",
    "#drop=True filmi sağdan siler ekranda sadece bi tane film columnu gösterilir "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "0730d80f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Year           Actor            Director  \\\n",
       "Film                                                                        \n",
       "Dr. No                           1962    Sean Connery       Terence Young   \n",
       "From Russia with Love            1963    Sean Connery       Terence Young   \n",
       "Goldfinger                       1964    Sean Connery        Guy Hamilton   \n",
       "Thunderball                      1965    Sean Connery       Terence Young   \n",
       "Casino Royale                    1967     David Niven          Ken Hughes   \n",
       "You Only Live Twice              1967    Sean Connery       Lewis Gilbert   \n",
       "On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "Diamonds Are Forever             1971    Sean Connery        Guy Hamilton   \n",
       "Live and Let Die                 1973     Roger Moore        Guy Hamilton   \n",
       "The Man with the Golden Gun      1974     Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me             1977     Roger Moore       Lewis Gilbert   \n",
       "Moonraker                        1979     Roger Moore       Lewis Gilbert   \n",
       "For Your Eyes Only               1981     Roger Moore           John Glen   \n",
       "Never Say Never Again            1983    Sean Connery      Irvin Kershner   \n",
       "Octopussy                        1983     Roger Moore           John Glen   \n",
       "A View to a Kill                 1985     Roger Moore           John Glen   \n",
       "The Living Daylights             1987  Timothy Dalton           John Glen   \n",
       "Licence to Kill                  1989  Timothy Dalton           John Glen   \n",
       "GoldenEye                        1995  Pierce Brosnan     Martin Campbell   \n",
       "Tomorrow Never Dies              1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "The World Is Not Enough          1999  Pierce Brosnan       Michael Apted   \n",
       "Die Another Day                  2002  Pierce Brosnan        Lee Tamahori   \n",
       "Casino Royale                    2006    Daniel Craig     Martin Campbell   \n",
       "Quantum of Solace                2008    Daniel Craig        Marc Forster   \n",
       "Skyfall                          2012    Daniel Craig          Sam Mendes   \n",
       "Spectre                          2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "                                 Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                    \n",
       "Dr. No                                448.8     7.0                0.6  \n",
       "From Russia with Love                 543.8    12.6                1.6  \n",
       "Goldfinger                            820.4    18.6                3.2  \n",
       "Thunderball                           848.1    41.9                4.7  \n",
       "Casino Royale                         315.0    85.0                NaN  \n",
       "You Only Live Twice                   514.2    59.9                4.4  \n",
       "On Her Majesty's Secret Service       291.5    37.3                0.6  \n",
       "Diamonds Are Forever                  442.5    34.7                5.8  \n",
       "Live and Let Die                      460.3    30.8                NaN  \n",
       "The Man with the Golden Gun           334.0    27.7                NaN  \n",
       "The Spy Who Loved Me                  533.0    45.1                NaN  \n",
       "Moonraker                             535.0    91.5                NaN  \n",
       "For Your Eyes Only                    449.4    60.2                NaN  \n",
       "Never Say Never Again                 380.0    86.0                NaN  \n",
       "Octopussy                             373.8    53.9                7.8  \n",
       "A View to a Kill                      275.2    54.5                9.1  \n",
       "The Living Daylights                  313.5    68.8                5.2  \n",
       "Licence to Kill                       250.9    56.7                7.9  \n",
       "GoldenEye                             518.5    76.9                5.1  \n",
       "Tomorrow Never Dies                   463.2   133.9               10.0  \n",
       "The World Is Not Enough               439.5   158.3               13.5  \n",
       "Die Another Day                       465.4   154.2               17.9  \n",
       "Casino Royale                         581.5   145.3                3.3  \n",
       "Quantum of Solace                     514.2   181.4                8.1  \n",
       "Skyfall                               943.5   170.2               14.5  \n",
       "Spectre                               726.7   206.3                NaN  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.set_index(keys=\"Film\",inplace=True)\n",
    "emp_jb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "720d540e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dr. No</td>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>From Russia with Love</td>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Goldfinger</td>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Live and Let Die</td>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Man with the Golden Gun</td>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Spy Who Loved Me</td>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moonraker</td>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>For Your Eyes Only</td>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Never Say Never Again</td>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Octopussy</td>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>A View to a Kill</td>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Living Daylights</td>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Licence to Kill</td>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GoldenEye</td>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tomorrow Never Dies</td>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The World Is Not Enough</td>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Die Another Day</td>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Film  Year           Actor            Director  \\\n",
       "0                            Dr. No  1962    Sean Connery       Terence Young   \n",
       "1             From Russia with Love  1963    Sean Connery       Terence Young   \n",
       "2                        Goldfinger  1964    Sean Connery        Guy Hamilton   \n",
       "3                       Thunderball  1965    Sean Connery       Terence Young   \n",
       "4                     Casino Royale  1967     David Niven          Ken Hughes   \n",
       "5               You Only Live Twice  1967    Sean Connery       Lewis Gilbert   \n",
       "6   On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "7              Diamonds Are Forever  1971    Sean Connery        Guy Hamilton   \n",
       "8                  Live and Let Die  1973     Roger Moore        Guy Hamilton   \n",
       "9       The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "10             The Spy Who Loved Me  1977     Roger Moore       Lewis Gilbert   \n",
       "11                        Moonraker  1979     Roger Moore       Lewis Gilbert   \n",
       "12               For Your Eyes Only  1981     Roger Moore           John Glen   \n",
       "13            Never Say Never Again  1983    Sean Connery      Irvin Kershner   \n",
       "14                        Octopussy  1983     Roger Moore           John Glen   \n",
       "15                 A View to a Kill  1985     Roger Moore           John Glen   \n",
       "16             The Living Daylights  1987  Timothy Dalton           John Glen   \n",
       "17                  Licence to Kill  1989  Timothy Dalton           John Glen   \n",
       "18                        GoldenEye  1995  Pierce Brosnan     Martin Campbell   \n",
       "19              Tomorrow Never Dies  1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "20          The World Is Not Enough  1999  Pierce Brosnan       Michael Apted   \n",
       "21                  Die Another Day  2002  Pierce Brosnan        Lee Tamahori   \n",
       "22                    Casino Royale  2006    Daniel Craig     Martin Campbell   \n",
       "23                Quantum of Solace  2008    Daniel Craig        Marc Forster   \n",
       "24                          Skyfall  2012    Daniel Craig          Sam Mendes   \n",
       "25                          Spectre  2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "    Box Office  Budget  Bond Actor Salary  \n",
       "0        448.8     7.0                0.6  \n",
       "1        543.8    12.6                1.6  \n",
       "2        820.4    18.6                3.2  \n",
       "3        848.1    41.9                4.7  \n",
       "4        315.0    85.0                NaN  \n",
       "5        514.2    59.9                4.4  \n",
       "6        291.5    37.3                0.6  \n",
       "7        442.5    34.7                5.8  \n",
       "8        460.3    30.8                NaN  \n",
       "9        334.0    27.7                NaN  \n",
       "10       533.0    45.1                NaN  \n",
       "11       535.0    91.5                NaN  \n",
       "12       449.4    60.2                NaN  \n",
       "13       380.0    86.0                NaN  \n",
       "14       373.8    53.9                7.8  \n",
       "15       275.2    54.5                9.1  \n",
       "16       313.5    68.8                5.2  \n",
       "17       250.9    56.7                7.9  \n",
       "18       518.5    76.9                5.1  \n",
       "19       463.2   133.9               10.0  \n",
       "20       439.5   158.3               13.5  \n",
       "21       465.4   154.2               17.9  \n",
       "22       581.5   145.3                3.3  \n",
       "23       514.2   181.4                8.1  \n",
       "24       943.5   170.2               14.5  \n",
       "25       726.7   206.3                NaN  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.reset_index() #reset_index verdiğimiz indexi silmemize ilk duruma döndürmemizi sağlar \n",
    "#artık index film columnu değil \n",
    "#inplace = True dememiz gerekiyor\n",
    "#drop=True dememiz de gerek burda default u false"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2a30b2de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Year         Actor       Director  Box Office  Budget  \\\n",
       "Film                                                                           \n",
       "Dr. No                 1962  Sean Connery  Terence Young       448.8     7.0   \n",
       "From Russia with Love  1963  Sean Connery  Terence Young       543.8    12.6   \n",
       "Goldfinger             1964  Sean Connery   Guy Hamilton       820.4    18.6   \n",
       "Thunderball            1965  Sean Connery  Terence Young       848.1    41.9   \n",
       "Casino Royale          1967   David Niven     Ken Hughes       315.0    85.0   \n",
       "\n",
       "                       Bond Actor Salary  \n",
       "Film                                      \n",
       "Dr. No                               0.6  \n",
       "From Russia with Love                1.6  \n",
       "Goldfinger                           3.2  \n",
       "Thunderball                          4.7  \n",
       "Casino Royale                        NaN  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "5a91fa7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year           Actor            Director  Box Office  Budget  \\\n",
       "0   1962    Sean Connery       Terence Young       448.8     7.0   \n",
       "1   1963    Sean Connery       Terence Young       543.8    12.6   \n",
       "2   1964    Sean Connery        Guy Hamilton       820.4    18.6   \n",
       "3   1965    Sean Connery       Terence Young       848.1    41.9   \n",
       "4   1967     David Niven          Ken Hughes       315.0    85.0   \n",
       "5   1967    Sean Connery       Lewis Gilbert       514.2    59.9   \n",
       "6   1969  George Lazenby       Peter R. Hunt       291.5    37.3   \n",
       "7   1971    Sean Connery        Guy Hamilton       442.5    34.7   \n",
       "8   1973     Roger Moore        Guy Hamilton       460.3    30.8   \n",
       "9   1974     Roger Moore        Guy Hamilton       334.0    27.7   \n",
       "10  1977     Roger Moore       Lewis Gilbert       533.0    45.1   \n",
       "11  1979     Roger Moore       Lewis Gilbert       535.0    91.5   \n",
       "12  1981     Roger Moore           John Glen       449.4    60.2   \n",
       "13  1983    Sean Connery      Irvin Kershner       380.0    86.0   \n",
       "14  1983     Roger Moore           John Glen       373.8    53.9   \n",
       "15  1985     Roger Moore           John Glen       275.2    54.5   \n",
       "16  1987  Timothy Dalton           John Glen       313.5    68.8   \n",
       "17  1989  Timothy Dalton           John Glen       250.9    56.7   \n",
       "18  1995  Pierce Brosnan     Martin Campbell       518.5    76.9   \n",
       "19  1997  Pierce Brosnan  Roger Spottiswoode       463.2   133.9   \n",
       "20  1999  Pierce Brosnan       Michael Apted       439.5   158.3   \n",
       "21  2002  Pierce Brosnan        Lee Tamahori       465.4   154.2   \n",
       "22  2006    Daniel Craig     Martin Campbell       581.5   145.3   \n",
       "23  2008    Daniel Craig        Marc Forster       514.2   181.4   \n",
       "24  2012    Daniel Craig          Sam Mendes       943.5   170.2   \n",
       "25  2015    Daniel Craig          Sam Mendes       726.7   206.3   \n",
       "\n",
       "    Bond Actor Salary  \n",
       "0                 0.6  \n",
       "1                 1.6  \n",
       "2                 3.2  \n",
       "3                 4.7  \n",
       "4                 NaN  \n",
       "5                 4.4  \n",
       "6                 0.6  \n",
       "7                 5.8  \n",
       "8                 NaN  \n",
       "9                 NaN  \n",
       "10                NaN  \n",
       "11                NaN  \n",
       "12                NaN  \n",
       "13                NaN  \n",
       "14                7.8  \n",
       "15                9.1  \n",
       "16                5.2  \n",
       "17                7.9  \n",
       "18                5.1  \n",
       "19               10.0  \n",
       "20               13.5  \n",
       "21               17.9  \n",
       "22                3.3  \n",
       "23                8.1  \n",
       "24               14.5  \n",
       "25                NaN  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.reset_index(drop=True) # drop->index olan columnu dateframe den çıkarır"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5eb5aa12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dr. No</td>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>From Russia with Love</td>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Goldfinger</td>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Live and Let Die</td>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Man with the Golden Gun</td>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Spy Who Loved Me</td>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moonraker</td>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>For Your Eyes Only</td>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Never Say Never Again</td>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Octopussy</td>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>A View to a Kill</td>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Living Daylights</td>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Licence to Kill</td>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GoldenEye</td>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tomorrow Never Dies</td>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The World Is Not Enough</td>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Die Another Day</td>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Film  Year           Actor            Director  \\\n",
       "0                            Dr. No  1962    Sean Connery       Terence Young   \n",
       "1             From Russia with Love  1963    Sean Connery       Terence Young   \n",
       "2                        Goldfinger  1964    Sean Connery        Guy Hamilton   \n",
       "3                       Thunderball  1965    Sean Connery       Terence Young   \n",
       "4                     Casino Royale  1967     David Niven          Ken Hughes   \n",
       "5               You Only Live Twice  1967    Sean Connery       Lewis Gilbert   \n",
       "6   On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "7              Diamonds Are Forever  1971    Sean Connery        Guy Hamilton   \n",
       "8                  Live and Let Die  1973     Roger Moore        Guy Hamilton   \n",
       "9       The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "10             The Spy Who Loved Me  1977     Roger Moore       Lewis Gilbert   \n",
       "11                        Moonraker  1979     Roger Moore       Lewis Gilbert   \n",
       "12               For Your Eyes Only  1981     Roger Moore           John Glen   \n",
       "13            Never Say Never Again  1983    Sean Connery      Irvin Kershner   \n",
       "14                        Octopussy  1983     Roger Moore           John Glen   \n",
       "15                 A View to a Kill  1985     Roger Moore           John Glen   \n",
       "16             The Living Daylights  1987  Timothy Dalton           John Glen   \n",
       "17                  Licence to Kill  1989  Timothy Dalton           John Glen   \n",
       "18                        GoldenEye  1995  Pierce Brosnan     Martin Campbell   \n",
       "19              Tomorrow Never Dies  1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "20          The World Is Not Enough  1999  Pierce Brosnan       Michael Apted   \n",
       "21                  Die Another Day  2002  Pierce Brosnan        Lee Tamahori   \n",
       "22                    Casino Royale  2006    Daniel Craig     Martin Campbell   \n",
       "23                Quantum of Solace  2008    Daniel Craig        Marc Forster   \n",
       "24                          Skyfall  2012    Daniel Craig          Sam Mendes   \n",
       "25                          Spectre  2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "    Box Office  Budget  Bond Actor Salary  \n",
       "0        448.8     7.0                0.6  \n",
       "1        543.8    12.6                1.6  \n",
       "2        820.4    18.6                3.2  \n",
       "3        848.1    41.9                4.7  \n",
       "4        315.0    85.0                NaN  \n",
       "5        514.2    59.9                4.4  \n",
       "6        291.5    37.3                0.6  \n",
       "7        442.5    34.7                5.8  \n",
       "8        460.3    30.8                NaN  \n",
       "9        334.0    27.7                NaN  \n",
       "10       533.0    45.1                NaN  \n",
       "11       535.0    91.5                NaN  \n",
       "12       449.4    60.2                NaN  \n",
       "13       380.0    86.0                NaN  \n",
       "14       373.8    53.9                7.8  \n",
       "15       275.2    54.5                9.1  \n",
       "16       313.5    68.8                5.2  \n",
       "17       250.9    56.7                7.9  \n",
       "18       518.5    76.9                5.1  \n",
       "19       463.2   133.9               10.0  \n",
       "20       439.5   158.3               13.5  \n",
       "21       465.4   154.2               17.9  \n",
       "22       581.5   145.3                3.3  \n",
       "23       514.2   181.4                8.1  \n",
       "24       943.5   170.2               14.5  \n",
       "25       726.7   206.3                NaN  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.reset_index(inplace=True) #reset indexe dikkat et drop u True olursa column kaybına uğrarız\n",
    "emp_jb "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "63888217",
   "metadata": {},
   "outputs": [],
   "source": [
    "emp_jb.set_index(\"Film\",inplace=True) #indexi film columnu atadığımız için film isimlerini kullanabiliriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "971c2d30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                         1971\n",
       "Actor                Sean Connery\n",
       "Director             Guy Hamilton\n",
       "Box Office                  442.5\n",
       "Budget                       34.7\n",
       "Bond Actor Salary             5.8\n",
       "Name: Diamonds Are Forever, dtype: object"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.loc[\"Diamonds Are Forever\"] #loc ile Diamonds Are Forever indexinin olduğu satırı getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "fb8d402e",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'yufus'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3629\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3628\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 3629\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3630\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:136\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:160\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:201\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine._get_loc_duplicates\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:209\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine._maybe_get_bool_indexer\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\_libs\\index.pyx:107\u001b[0m, in \u001b[0;36mpandas._libs.index._unpack_bool_indexer\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'yufus'",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Input \u001b[1;32mIn [57]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43memp_jb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43myufus\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:967\u001b[0m, in \u001b[0;36m_LocationIndexer.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    964\u001b[0m axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m    966\u001b[0m maybe_callable \u001b[38;5;241m=\u001b[39m com\u001b[38;5;241m.\u001b[39mapply_if_callable(key, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj)\n\u001b[1;32m--> 967\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmaybe_callable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:1205\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_axis\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m   1203\u001b[0m \u001b[38;5;66;03m# fall thru to straight lookup\u001b[39;00m\n\u001b[0;32m   1204\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_key(key, axis)\n\u001b[1;32m-> 1205\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_label\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:1153\u001b[0m, in \u001b[0;36m_LocIndexer._get_label\u001b[1;34m(self, label, axis)\u001b[0m\n\u001b[0;32m   1151\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_label\u001b[39m(\u001b[38;5;28mself\u001b[39m, label, axis: \u001b[38;5;28mint\u001b[39m):\n\u001b[0;32m   1152\u001b[0m     \u001b[38;5;66;03m# GH#5667 this will fail if the label is not present in the axis.\u001b[39;00m\n\u001b[1;32m-> 1153\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py:3864\u001b[0m, in \u001b[0;36mNDFrame.xs\u001b[1;34m(self, key, axis, level, drop_level)\u001b[0m\n\u001b[0;32m   3862\u001b[0m             new_index \u001b[38;5;241m=\u001b[39m index[loc]\n\u001b[0;32m   3863\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 3864\u001b[0m     loc \u001b[38;5;241m=\u001b[39m \u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3866\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(loc, np\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[0;32m   3867\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m loc\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m==\u001b[39m np\u001b[38;5;241m.\u001b[39mbool_:\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py:3631\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3629\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[0;32m   3630\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m-> 3631\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[0;32m   3632\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m   3633\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[0;32m   3634\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[0;32m   3635\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[0;32m   3636\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[1;31mKeyError\u001b[0m: 'yufus'"
     ]
    }
   ],
   "source": [
    "emp_jb.loc[\"yufus\"] #olmayan kayıt sorgulamada keyError fırlatır"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "8d64774c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Year         Actor       Director  Box Office  \\\n",
       "Film                                                                         \n",
       "Diamonds Are Forever         1971  Sean Connery   Guy Hamilton       442.5   \n",
       "The Man with the Golden Gun  1974   Roger Moore   Guy Hamilton       334.0   \n",
       "Moonraker                    1979   Roger Moore  Lewis Gilbert       535.0   \n",
       "\n",
       "                             Budget  Bond Actor Salary  \n",
       "Film                                                    \n",
       "Diamonds Are Forever           34.7                5.8  \n",
       "The Man with the Golden Gun    27.7                NaN  \n",
       "Moonraker                      91.5                NaN  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.loc[\"Diamonds Are Forever\":\"Moonraker\":2] #location veririz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "b9e220c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Year           Actor            Director  \\\n",
       "Film                                                                    \n",
       "Diamonds Are Forever         1971    Sean Connery        Guy Hamilton   \n",
       "Live and Let Die             1973     Roger Moore        Guy Hamilton   \n",
       "The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me         1977     Roger Moore       Lewis Gilbert   \n",
       "Moonraker                    1979     Roger Moore       Lewis Gilbert   \n",
       "For Your Eyes Only           1981     Roger Moore           John Glen   \n",
       "Never Say Never Again        1983    Sean Connery      Irvin Kershner   \n",
       "Octopussy                    1983     Roger Moore           John Glen   \n",
       "A View to a Kill             1985     Roger Moore           John Glen   \n",
       "The Living Daylights         1987  Timothy Dalton           John Glen   \n",
       "Licence to Kill              1989  Timothy Dalton           John Glen   \n",
       "GoldenEye                    1995  Pierce Brosnan     Martin Campbell   \n",
       "Tomorrow Never Dies          1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "The World Is Not Enough      1999  Pierce Brosnan       Michael Apted   \n",
       "Die Another Day              2002  Pierce Brosnan        Lee Tamahori   \n",
       "Casino Royale                2006    Daniel Craig     Martin Campbell   \n",
       "Quantum of Solace            2008    Daniel Craig        Marc Forster   \n",
       "Skyfall                      2012    Daniel Craig          Sam Mendes   \n",
       "Spectre                      2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "                             Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                \n",
       "Diamonds Are Forever              442.5    34.7                5.8  \n",
       "Live and Let Die                  460.3    30.8                NaN  \n",
       "The Man with the Golden Gun       334.0    27.7                NaN  \n",
       "The Spy Who Loved Me              533.0    45.1                NaN  \n",
       "Moonraker                         535.0    91.5                NaN  \n",
       "For Your Eyes Only                449.4    60.2                NaN  \n",
       "Never Say Never Again             380.0    86.0                NaN  \n",
       "Octopussy                         373.8    53.9                7.8  \n",
       "A View to a Kill                  275.2    54.5                9.1  \n",
       "The Living Daylights              313.5    68.8                5.2  \n",
       "Licence to Kill                   250.9    56.7                7.9  \n",
       "GoldenEye                         518.5    76.9                5.1  \n",
       "Tomorrow Never Dies               463.2   133.9               10.0  \n",
       "The World Is Not Enough           439.5   158.3               13.5  \n",
       "Die Another Day                   465.4   154.2               17.9  \n",
       "Casino Royale                     581.5   145.3                3.3  \n",
       "Quantum of Solace                 514.2   181.4                8.1  \n",
       "Skyfall                           943.5   170.2               14.5  \n",
       "Spectre                           726.7   206.3                NaN  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.loc[\"Diamonds Are Forever\":]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "adfa5f47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Year           Actor       Director  \\\n",
       "Film                                                                   \n",
       "Dr. No                           1962    Sean Connery  Terence Young   \n",
       "From Russia with Love            1963    Sean Connery  Terence Young   \n",
       "Goldfinger                       1964    Sean Connery   Guy Hamilton   \n",
       "Thunderball                      1965    Sean Connery  Terence Young   \n",
       "Casino Royale                    1967     David Niven     Ken Hughes   \n",
       "You Only Live Twice              1967    Sean Connery  Lewis Gilbert   \n",
       "On Her Majesty's Secret Service  1969  George Lazenby  Peter R. Hunt   \n",
       "Diamonds Are Forever             1971    Sean Connery   Guy Hamilton   \n",
       "\n",
       "                                 Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                    \n",
       "Dr. No                                448.8     7.0                0.6  \n",
       "From Russia with Love                 543.8    12.6                1.6  \n",
       "Goldfinger                            820.4    18.6                3.2  \n",
       "Thunderball                           848.1    41.9                4.7  \n",
       "Casino Royale                         315.0    85.0                NaN  \n",
       "You Only Live Twice                   514.2    59.9                4.4  \n",
       "On Her Majesty's Secret Service       291.5    37.3                0.6  \n",
       "Diamonds Are Forever                  442.5    34.7                5.8  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.loc[:\"Diamonds Are Forever\"] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "8395da38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Year         Actor       Director  Box Office  Budget  \\\n",
       "Film                                                                          \n",
       "Diamonds Are Forever  1971  Sean Connery   Guy Hamilton       442.5    34.7   \n",
       "Moonraker             1979   Roger Moore  Lewis Gilbert       535.0    91.5   \n",
       "\n",
       "                      Bond Actor Salary  \n",
       "Film                                     \n",
       "Diamonds Are Forever                5.8  \n",
       "Moonraker                           NaN  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_jb.loc[[\"Diamonds Are Forever\",\"Moonraker\"]] #tek kayıtta seri birden fazla kayıtta dataframe döndürür"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "a1f8b1c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dr. No</td>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>From Russia with Love</td>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Goldfinger</td>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Live and Let Die</td>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Man with the Golden Gun</td>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Spy Who Loved Me</td>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moonraker</td>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>For Your Eyes Only</td>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Never Say Never Again</td>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Octopussy</td>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>A View to a Kill</td>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Living Daylights</td>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Licence to Kill</td>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>GoldenEye</td>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tomorrow Never Dies</td>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The World Is Not Enough</td>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Die Another Day</td>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Casino Royale</td>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Quantum of Solace</td>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Spectre</td>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Film  Year           Actor            Director  \\\n",
       "0                            Dr. No  1962    Sean Connery       Terence Young   \n",
       "1             From Russia with Love  1963    Sean Connery       Terence Young   \n",
       "2                        Goldfinger  1964    Sean Connery        Guy Hamilton   \n",
       "3                       Thunderball  1965    Sean Connery       Terence Young   \n",
       "4                     Casino Royale  1967     David Niven          Ken Hughes   \n",
       "5               You Only Live Twice  1967    Sean Connery       Lewis Gilbert   \n",
       "6   On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "7              Diamonds Are Forever  1971    Sean Connery        Guy Hamilton   \n",
       "8                  Live and Let Die  1973     Roger Moore        Guy Hamilton   \n",
       "9       The Man with the Golden Gun  1974     Roger Moore        Guy Hamilton   \n",
       "10             The Spy Who Loved Me  1977     Roger Moore       Lewis Gilbert   \n",
       "11                        Moonraker  1979     Roger Moore       Lewis Gilbert   \n",
       "12               For Your Eyes Only  1981     Roger Moore           John Glen   \n",
       "13            Never Say Never Again  1983    Sean Connery      Irvin Kershner   \n",
       "14                        Octopussy  1983     Roger Moore           John Glen   \n",
       "15                 A View to a Kill  1985     Roger Moore           John Glen   \n",
       "16             The Living Daylights  1987  Timothy Dalton           John Glen   \n",
       "17                  Licence to Kill  1989  Timothy Dalton           John Glen   \n",
       "18                        GoldenEye  1995  Pierce Brosnan     Martin Campbell   \n",
       "19              Tomorrow Never Dies  1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "20          The World Is Not Enough  1999  Pierce Brosnan       Michael Apted   \n",
       "21                  Die Another Day  2002  Pierce Brosnan        Lee Tamahori   \n",
       "22                    Casino Royale  2006    Daniel Craig     Martin Campbell   \n",
       "23                Quantum of Solace  2008    Daniel Craig        Marc Forster   \n",
       "24                          Skyfall  2012    Daniel Craig          Sam Mendes   \n",
       "25                          Spectre  2015    Daniel Craig          Sam Mendes   \n",
       "\n",
       "    Box Office  Budget  Bond Actor Salary  \n",
       "0        448.8     7.0                0.6  \n",
       "1        543.8    12.6                1.6  \n",
       "2        820.4    18.6                3.2  \n",
       "3        848.1    41.9                4.7  \n",
       "4        315.0    85.0                NaN  \n",
       "5        514.2    59.9                4.4  \n",
       "6        291.5    37.3                0.6  \n",
       "7        442.5    34.7                5.8  \n",
       "8        460.3    30.8                NaN  \n",
       "9        334.0    27.7                NaN  \n",
       "10       533.0    45.1                NaN  \n",
       "11       535.0    91.5                NaN  \n",
       "12       449.4    60.2                NaN  \n",
       "13       380.0    86.0                NaN  \n",
       "14       373.8    53.9                7.8  \n",
       "15       275.2    54.5                9.1  \n",
       "16       313.5    68.8                5.2  \n",
       "17       250.9    56.7                7.9  \n",
       "18       518.5    76.9                5.1  \n",
       "19       463.2   133.9               10.0  \n",
       "20       439.5   158.3               13.5  \n",
       "21       465.4   154.2               17.9  \n",
       "22       581.5   145.3                3.3  \n",
       "23       514.2   181.4                8.1  \n",
       "24       943.5   170.2               14.5  \n",
       "25       726.7   206.3                NaN  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df=pd.read_csv(\"resources/resources/jamesbond.csv\")\n",
    "jb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "9afe2b69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Film                        Dr. No\n",
       "Year                          1962\n",
       "Actor                 Sean Connery\n",
       "Director             Terence Young\n",
       "Box Office                   448.8\n",
       "Budget                         7.0\n",
       "Bond Actor Salary              0.6\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.iloc[0] #loc ta sözel iloc da index location veriyoruz\n",
    "#index sayıyken loc kullanamayız ama diğer türlü iloc ve locu kullanabiliriz\n",
    "#loc ta yaptığımız her şey iloc da da geçerli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "447f20bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Film</th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thunderball</td>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>You Only Live Twice</td>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diamonds Are Forever</td>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Film  Year         Actor       Director  Box Office  \\\n",
       "3           Thunderball  1965  Sean Connery  Terence Young       848.1   \n",
       "5   You Only Live Twice  1967  Sean Connery  Lewis Gilbert       514.2   \n",
       "7  Diamonds Are Forever  1971  Sean Connery   Guy Hamilton       442.5   \n",
       "\n",
       "   Budget  Bond Actor Salary  \n",
       "3    41.9                4.7  \n",
       "5    59.9                4.4  \n",
       "7    34.7                5.8  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.iloc[[3,5,7]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "22f9e1b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "      <th>Bond Actor Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>1985</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>2006</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>1967</td>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>1971</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>2002</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>1962</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>1981</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>1963</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>1995</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>1964</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>1989</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>1973</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>1979</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>1983</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>1983</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>1969</td>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>2008</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>2012</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>2015</td>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>1987</td>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>1974</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>1977</td>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>1999</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>1965</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>1997</td>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>1967</td>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Year           Actor            Director  \\\n",
       "Film                                                                        \n",
       "A View to a Kill                 1985     Roger Moore           John Glen   \n",
       "Casino Royale                    2006    Daniel Craig     Martin Campbell   \n",
       "Casino Royale                    1967     David Niven          Ken Hughes   \n",
       "Diamonds Are Forever             1971    Sean Connery        Guy Hamilton   \n",
       "Die Another Day                  2002  Pierce Brosnan        Lee Tamahori   \n",
       "Dr. No                           1962    Sean Connery       Terence Young   \n",
       "For Your Eyes Only               1981     Roger Moore           John Glen   \n",
       "From Russia with Love            1963    Sean Connery       Terence Young   \n",
       "GoldenEye                        1995  Pierce Brosnan     Martin Campbell   \n",
       "Goldfinger                       1964    Sean Connery        Guy Hamilton   \n",
       "Licence to Kill                  1989  Timothy Dalton           John Glen   \n",
       "Live and Let Die                 1973     Roger Moore        Guy Hamilton   \n",
       "Moonraker                        1979     Roger Moore       Lewis Gilbert   \n",
       "Never Say Never Again            1983    Sean Connery      Irvin Kershner   \n",
       "Octopussy                        1983     Roger Moore           John Glen   \n",
       "On Her Majesty's Secret Service  1969  George Lazenby       Peter R. Hunt   \n",
       "Quantum of Solace                2008    Daniel Craig        Marc Forster   \n",
       "Skyfall                          2012    Daniel Craig          Sam Mendes   \n",
       "Spectre                          2015    Daniel Craig          Sam Mendes   \n",
       "The Living Daylights             1987  Timothy Dalton           John Glen   \n",
       "The Man with the Golden Gun      1974     Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me             1977     Roger Moore       Lewis Gilbert   \n",
       "The World Is Not Enough          1999  Pierce Brosnan       Michael Apted   \n",
       "Thunderball                      1965    Sean Connery       Terence Young   \n",
       "Tomorrow Never Dies              1997  Pierce Brosnan  Roger Spottiswoode   \n",
       "You Only Live Twice              1967    Sean Connery       Lewis Gilbert   \n",
       "\n",
       "                                 Box Office  Budget  Bond Actor Salary  \n",
       "Film                                                                    \n",
       "A View to a Kill                      275.2    54.5                9.1  \n",
       "Casino Royale                         581.5   145.3                3.3  \n",
       "Casino Royale                         315.0    85.0                NaN  \n",
       "Diamonds Are Forever                  442.5    34.7                5.8  \n",
       "Die Another Day                       465.4   154.2               17.9  \n",
       "Dr. No                                448.8     7.0                0.6  \n",
       "For Your Eyes Only                    449.4    60.2                NaN  \n",
       "From Russia with Love                 543.8    12.6                1.6  \n",
       "GoldenEye                             518.5    76.9                5.1  \n",
       "Goldfinger                            820.4    18.6                3.2  \n",
       "Licence to Kill                       250.9    56.7                7.9  \n",
       "Live and Let Die                      460.3    30.8                NaN  \n",
       "Moonraker                             535.0    91.5                NaN  \n",
       "Never Say Never Again                 380.0    86.0                NaN  \n",
       "Octopussy                             373.8    53.9                7.8  \n",
       "On Her Majesty's Secret Service       291.5    37.3                0.6  \n",
       "Quantum of Solace                     514.2   181.4                8.1  \n",
       "Skyfall                               943.5   170.2               14.5  \n",
       "Spectre                               726.7   206.3                NaN  \n",
       "The Living Daylights                  313.5    68.8                5.2  \n",
       "The Man with the Golden Gun           334.0    27.7                NaN  \n",
       "The Spy Who Loved Me                  533.0    45.1                NaN  \n",
       "The World Is Not Enough               439.5   158.3               13.5  \n",
       "Thunderball                           848.1    41.9                4.7  \n",
       "Tomorrow Never Dies                   463.2   133.9               10.0  \n",
       "You Only Live Twice                   514.2    59.9                4.4  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df=pd.read_csv(\"resources/resources/jamesbond.csv\",index_col=\"Film\")\n",
    "jb_df.sort_index(inplace=True)\n",
    "jb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "4ef1dfec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Actor     Roger Moore\n",
       "Budget           54.5\n",
       "Name: A View to a Kill, dtype: object"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.loc[\"A View to a Kill\",[\"Actor\",\"Budget\"]] #filmlerin actorunu getirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "7e8866ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actor</th>\n",
       "      <th>Budget</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>41.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Actor  Budget\n",
       "Film                                  \n",
       "A View to a Kill   Roger Moore    54.5\n",
       "Thunderball       Sean Connery    41.9"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.loc[[\"A View to a Kill\",\"Thunderball\"],[\"Actor\",\"Budget\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "8b019c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Actor         Roger Moore\n",
       "Director        John Glen\n",
       "Box Office          275.2\n",
       "Budget               54.5\n",
       "Name: A View to a Kill, dtype: object"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.loc[\"A View to a Kill\",\"Actor\":\"Budget\"] #actor den budget column a kadar getir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "026841ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Actor</th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>David Niven</td>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>George Lazenby</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>Daniel Craig</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>Timothy Dalton</td>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>Roger Moore</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>Pierce Brosnan</td>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>Sean Connery</td>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Actor            Director  \\\n",
       "Film                                                                  \n",
       "A View to a Kill                    Roger Moore           John Glen   \n",
       "Casino Royale                      Daniel Craig     Martin Campbell   \n",
       "Casino Royale                       David Niven          Ken Hughes   \n",
       "Diamonds Are Forever               Sean Connery        Guy Hamilton   \n",
       "Die Another Day                  Pierce Brosnan        Lee Tamahori   \n",
       "Dr. No                             Sean Connery       Terence Young   \n",
       "For Your Eyes Only                  Roger Moore           John Glen   \n",
       "From Russia with Love              Sean Connery       Terence Young   \n",
       "GoldenEye                        Pierce Brosnan     Martin Campbell   \n",
       "Goldfinger                         Sean Connery        Guy Hamilton   \n",
       "Licence to Kill                  Timothy Dalton           John Glen   \n",
       "Live and Let Die                    Roger Moore        Guy Hamilton   \n",
       "Moonraker                           Roger Moore       Lewis Gilbert   \n",
       "Never Say Never Again              Sean Connery      Irvin Kershner   \n",
       "Octopussy                           Roger Moore           John Glen   \n",
       "On Her Majesty's Secret Service  George Lazenby       Peter R. Hunt   \n",
       "Quantum of Solace                  Daniel Craig        Marc Forster   \n",
       "Skyfall                            Daniel Craig          Sam Mendes   \n",
       "Spectre                            Daniel Craig          Sam Mendes   \n",
       "The Living Daylights             Timothy Dalton           John Glen   \n",
       "The Man with the Golden Gun         Roger Moore        Guy Hamilton   \n",
       "The Spy Who Loved Me                Roger Moore       Lewis Gilbert   \n",
       "The World Is Not Enough          Pierce Brosnan       Michael Apted   \n",
       "Thunderball                        Sean Connery       Terence Young   \n",
       "Tomorrow Never Dies              Pierce Brosnan  Roger Spottiswoode   \n",
       "You Only Live Twice                Sean Connery       Lewis Gilbert   \n",
       "\n",
       "                                 Box Office  Budget  \n",
       "Film                                                 \n",
       "A View to a Kill                      275.2    54.5  \n",
       "Casino Royale                         581.5   145.3  \n",
       "Casino Royale                         315.0    85.0  \n",
       "Diamonds Are Forever                  442.5    34.7  \n",
       "Die Another Day                       465.4   154.2  \n",
       "Dr. No                                448.8     7.0  \n",
       "For Your Eyes Only                    449.4    60.2  \n",
       "From Russia with Love                 543.8    12.6  \n",
       "GoldenEye                             518.5    76.9  \n",
       "Goldfinger                            820.4    18.6  \n",
       "Licence to Kill                       250.9    56.7  \n",
       "Live and Let Die                      460.3    30.8  \n",
       "Moonraker                             535.0    91.5  \n",
       "Never Say Never Again                 380.0    86.0  \n",
       "Octopussy                             373.8    53.9  \n",
       "On Her Majesty's Secret Service       291.5    37.3  \n",
       "Quantum of Solace                     514.2   181.4  \n",
       "Skyfall                               943.5   170.2  \n",
       "Spectre                               726.7   206.3  \n",
       "The Living Daylights                  313.5    68.8  \n",
       "The Man with the Golden Gun           334.0    27.7  \n",
       "The Spy Who Loved Me                  533.0    45.1  \n",
       "The World Is Not Enough               439.5   158.3  \n",
       "Thunderball                           848.1    41.9  \n",
       "Tomorrow Never Dies                   463.2   133.9  \n",
       "You Only Live Twice                   514.2    59.9  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.loc[\"A View to a Kill\":,\"Actor\":\"Budget\"] #A View to a Kill satırından sonuna kadar-actor den budget column a kadar getir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "325f1fe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'John Glen'"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.iloc[0,2] #satır,sutün-> 0.satırın 2.sütunu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "edc47fab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Director</th>\n",
       "      <th>Box Office</th>\n",
       "      <th>Budget</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Film</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A View to a Kill</th>\n",
       "      <td>John Glen</td>\n",
       "      <td>275.2</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>581.5</td>\n",
       "      <td>145.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casino Royale</th>\n",
       "      <td>Ken Hughes</td>\n",
       "      <td>315.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamonds Are Forever</th>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>442.5</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Another Day</th>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>465.4</td>\n",
       "      <td>154.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dr. No</th>\n",
       "      <td>Terence Young</td>\n",
       "      <td>448.8</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>For Your Eyes Only</th>\n",
       "      <td>John Glen</td>\n",
       "      <td>449.4</td>\n",
       "      <td>60.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>From Russia with Love</th>\n",
       "      <td>Terence Young</td>\n",
       "      <td>543.8</td>\n",
       "      <td>12.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoldenEye</th>\n",
       "      <td>Martin Campbell</td>\n",
       "      <td>518.5</td>\n",
       "      <td>76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goldfinger</th>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>820.4</td>\n",
       "      <td>18.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Licence to Kill</th>\n",
       "      <td>John Glen</td>\n",
       "      <td>250.9</td>\n",
       "      <td>56.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Live and Let Die</th>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>460.3</td>\n",
       "      <td>30.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moonraker</th>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>535.0</td>\n",
       "      <td>91.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Never Say Never Again</th>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>380.0</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Octopussy</th>\n",
       "      <td>John Glen</td>\n",
       "      <td>373.8</td>\n",
       "      <td>53.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On Her Majesty's Secret Service</th>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>291.5</td>\n",
       "      <td>37.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quantum of Solace</th>\n",
       "      <td>Marc Forster</td>\n",
       "      <td>514.2</td>\n",
       "      <td>181.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skyfall</th>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>943.5</td>\n",
       "      <td>170.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spectre</th>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>726.7</td>\n",
       "      <td>206.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Living Daylights</th>\n",
       "      <td>John Glen</td>\n",
       "      <td>313.5</td>\n",
       "      <td>68.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Man with the Golden Gun</th>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>334.0</td>\n",
       "      <td>27.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Spy Who Loved Me</th>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>533.0</td>\n",
       "      <td>45.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The World Is Not Enough</th>\n",
       "      <td>Michael Apted</td>\n",
       "      <td>439.5</td>\n",
       "      <td>158.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderball</th>\n",
       "      <td>Terence Young</td>\n",
       "      <td>848.1</td>\n",
       "      <td>41.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tomorrow Never Dies</th>\n",
       "      <td>Roger Spottiswoode</td>\n",
       "      <td>463.2</td>\n",
       "      <td>133.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Only Live Twice</th>\n",
       "      <td>Lewis Gilbert</td>\n",
       "      <td>514.2</td>\n",
       "      <td>59.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Director  Box Office  Budget\n",
       "Film                                                                   \n",
       "A View to a Kill                          John Glen       275.2    54.5\n",
       "Casino Royale                       Martin Campbell       581.5   145.3\n",
       "Casino Royale                            Ken Hughes       315.0    85.0\n",
       "Diamonds Are Forever                   Guy Hamilton       442.5    34.7\n",
       "Die Another Day                        Lee Tamahori       465.4   154.2\n",
       "Dr. No                                Terence Young       448.8     7.0\n",
       "For Your Eyes Only                        John Glen       449.4    60.2\n",
       "From Russia with Love                 Terence Young       543.8    12.6\n",
       "GoldenEye                           Martin Campbell       518.5    76.9\n",
       "Goldfinger                             Guy Hamilton       820.4    18.6\n",
       "Licence to Kill                           John Glen       250.9    56.7\n",
       "Live and Let Die                       Guy Hamilton       460.3    30.8\n",
       "Moonraker                             Lewis Gilbert       535.0    91.5\n",
       "Never Say Never Again                Irvin Kershner       380.0    86.0\n",
       "Octopussy                                 John Glen       373.8    53.9\n",
       "On Her Majesty's Secret Service       Peter R. Hunt       291.5    37.3\n",
       "Quantum of Solace                      Marc Forster       514.2   181.4\n",
       "Skyfall                                  Sam Mendes       943.5   170.2\n",
       "Spectre                                  Sam Mendes       726.7   206.3\n",
       "The Living Daylights                      John Glen       313.5    68.8\n",
       "The Man with the Golden Gun            Guy Hamilton       334.0    27.7\n",
       "The Spy Who Loved Me                  Lewis Gilbert       533.0    45.1\n",
       "The World Is Not Enough               Michael Apted       439.5   158.3\n",
       "Thunderball                           Terence Young       848.1    41.9\n",
       "Tomorrow Never Dies              Roger Spottiswoode       463.2   133.9\n",
       "You Only Live Twice                   Lewis Gilbert       514.2    59.9"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jb_df.iloc[:,2:5] #tüm satırları al 2.sütundan 5.sütuna kadar göster"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}