05-hafta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ca2c70c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#seriler tek boyutlu dizilerdir\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6389c951",
   "metadata": {},
   "outputs": [],
   "source": [
    "#DataFrames iki boyutlu verileri gösterir.\n",
    "#yani satır ve sütunlara sahip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "69defc88",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7fe9fcf6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "liste=[1,2,3,None,4]\n",
    "type(liste)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dfb48b83",
   "metadata": {},
   "outputs": [],
   "source": [
    "seri=pd.Series(liste) #listeyi seriye dönüştürme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "49e8cecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1.0\n",
       "1    2.0\n",
       "2    3.0\n",
       "3    NaN\n",
       "4    4.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seri #5 tane eleman var,none sayı olmadığından nan döndü"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "823e91a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seri.size #size hepsini getirir(nan ları da getirir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "79c590b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seri.count() #count boşları nanları saymaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d483503d",
   "metadata": {},
   "outputs": [
    {
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       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
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       "      <td>7730337.0</td>\n",
       "    </tr>\n",
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       "      <td>25.0</td>\n",
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       "      <td>Jonas Jerebko</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
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       "      <td>900000.0</td>\n",
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       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
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       "      <td>Jeff Withey</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
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       "      <td>NaN</td>\n",
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       "<p>458 rows × 9 columns</p>\n",
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      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "457                NaN        NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(\"resources/resources/nba.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24e330d5",
   "metadata": {},
   "outputs": [
    {
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       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>C</td>\n",
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       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "<p>458 rows × 9 columns</p>\n",
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      ],
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       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "457                NaN        NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\")\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9ddd687a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(nba)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d4c65175",
   "metadata": {},
   "outputs": [
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       "      <td>Avery Bradley</td>\n",
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       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name            Team  Number Position   Age Height  Weight  \\\n",
       "0  Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1    Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2   John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3    R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4  Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "\n",
       "             College     Salary  \n",
       "0              Texas  7730337.0  \n",
       "1          Marquette  6796117.0  \n",
       "2  Boston University        NaN  \n",
       "3      Georgia State  1148640.0  \n",
       "4                NaN  5000000.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "091e3a04",
   "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>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Name       Team  Number Position   Age Height  Weight College  \\\n",
       "453  Shelvin Mack  Utah Jazz     8.0       PG  26.0    6-3   203.0  Butler   \n",
       "454     Raul Neto  Utah Jazz    25.0       PG  24.0    6-1   179.0     NaN   \n",
       "455  Tibor Pleiss  Utah Jazz    21.0        C  26.0    7-3   256.0     NaN   \n",
       "456   Jeff Withey  Utah Jazz    24.0        C  26.0    7-0   231.0  Kansas   \n",
       "457           NaN        NaN     NaN      NaN   NaN    NaN     NaN     NaN   \n",
       "\n",
       "        Salary  \n",
       "453  2433333.0  \n",
       "454   900000.0  \n",
       "455  2900000.0  \n",
       "456   947276.0  \n",
       "457        NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "96462a90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=458, step=1)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3cbf5517",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.indexes.range.RangeIndex"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(nba.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c8473677",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Avery Bradley', 'Boston Celtics', 0.0, ..., 180.0, 'Texas',\n",
       "        7730337.0],\n",
       "       ['Jae Crowder', 'Boston Celtics', 99.0, ..., 235.0, 'Marquette',\n",
       "        6796117.0],\n",
       "       ['John Holland', 'Boston Celtics', 30.0, ..., 205.0,\n",
       "        'Boston University', nan],\n",
       "       ...,\n",
       "       ['Tibor Pleiss', 'Utah Jazz', 21.0, ..., 256.0, nan, 2900000.0],\n",
       "       ['Jeff Withey', 'Utah Jazz', 24.0, ..., 231.0, 'Kansas', 947276.0],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.values #dışta bir liste var ve herbir kayıt bir liste olarak bulunuyor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0f608d87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(458, 9)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.shape #satır ve sütun sayısı tupple döndürür"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "94e90c80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name         object\n",
       "Team         object\n",
       "Number      float64\n",
       "Position     object\n",
       "Age         float64\n",
       "Height       object\n",
       "Weight      float64\n",
       "College      object\n",
       "Salary      float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dtypes #sütunların hangi cins veri tuttuğunu gösterir\n",
    "#eğer eksik bilgiye sahip bir alan varsa pandas oraya float64 ü atar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f990b0ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Name', 'Team', 'Number', 'Position', 'Age', 'Height', 'Weight',\n",
       "       'College', 'Salary'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.columns #sütun isimlerini verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "10b71dca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.indexes.base.Index"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(nba.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9ca9edf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[RangeIndex(start=0, stop=458, step=1),\n",
       " Index(['Name', 'Team', 'Number', 'Position', 'Age', 'Height', 'Weight',\n",
       "        'College', 'Salary'],\n",
       "       dtype='object')]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.axes #index+columns-->RangeIndex satır için-Index sütun için"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d4b972b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 458 entries, 0 to 457\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   Name      457 non-null    object \n",
      " 1   Team      457 non-null    object \n",
      " 2   Number    457 non-null    float64\n",
      " 3   Position  457 non-null    object \n",
      " 4   Age       457 non-null    float64\n",
      " 5   Height    457 non-null    object \n",
      " 6   Weight    457 non-null    float64\n",
      " 7   College   373 non-null    object \n",
      " 8   Salary    446 non-null    float64\n",
      "dtypes: float64(4), object(5)\n",
      "memory usage: 32.3+ KB\n"
     ]
    }
   ],
   "source": [
    "nba.info() #DataFrame hakkında genel bilgileri verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "21529298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>New York</th>\n",
       "      <th>Los Angeles</th>\n",
       "      <th>Miami</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1/1/16</th>\n",
       "      <td>985</td>\n",
       "      <td>122</td>\n",
       "      <td>499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/2/16</th>\n",
       "      <td>738</td>\n",
       "      <td>788</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/3/16</th>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/4/16</th>\n",
       "      <td>730</td>\n",
       "      <td>904</td>\n",
       "      <td>885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/5/16</th>\n",
       "      <td>114</td>\n",
       "      <td>71</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/6/16</th>\n",
       "      <td>936</td>\n",
       "      <td>502</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/7/16</th>\n",
       "      <td>123</td>\n",
       "      <td>996</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/8/16</th>\n",
       "      <td>935</td>\n",
       "      <td>492</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/9/16</th>\n",
       "      <td>846</td>\n",
       "      <td>954</td>\n",
       "      <td>823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/10/16</th>\n",
       "      <td>54</td>\n",
       "      <td>285</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         New York  Los Angeles  Miami\n",
       "Date                                 \n",
       "1/1/16        985          122    499\n",
       "1/2/16        738          788    534\n",
       "1/3/16         14           20    933\n",
       "1/4/16        730          904    885\n",
       "1/5/16        114           71    253\n",
       "1/6/16        936          502    497\n",
       "1/7/16        123          996    115\n",
       "1/8/16        935          492    886\n",
       "1/9/16        846          954    823\n",
       "1/10/16        54          285    216"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue=pd.read_csv(\"resources/resources/revenue.csv\",index_col=\"Date\")\n",
    "revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "458a62a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "New York       5475\n",
       "Los Angeles    5134\n",
       "Miami          5641\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue.sum() #default olarak sütun bazında toplama yapar ama istersek satır bazlı da toplatabiliriz. axis=0,axis=\"index\" gibi davranır."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5293fdb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1/1/16     1606\n",
       "1/2/16     2060\n",
       "1/3/16      967\n",
       "1/4/16     2519\n",
       "1/5/16      438\n",
       "1/6/16     1935\n",
       "1/7/16     1234\n",
       "1/8/16     2313\n",
       "1/9/16     2623\n",
       "1/10/16     555\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue.sum(axis=1) #satır bazında toplam "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "aa6b57aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1/1/16     1606\n",
       "1/2/16     2060\n",
       "1/3/16      967\n",
       "1/4/16     2519\n",
       "1/5/16      438\n",
       "1/6/16     1935\n",
       "1/7/16     1234\n",
       "1/8/16     2313\n",
       "1/9/16     2623\n",
       "1/10/16     555\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue.sum(axis=\"columns\") #satır bazında toplam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "884400de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1/1/16     1606\n",
       "1/2/16     2060\n",
       "1/3/16      967\n",
       "1/4/16     2519\n",
       "1/5/16      438\n",
       "1/6/16     1935\n",
       "1/7/16     1234\n",
       "1/8/16     2313\n",
       "1/9/16     2623\n",
       "1/10/16     555\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue.sum(\"columns\") #satır bazında toplam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "75f27175",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1/1/16     1606\n",
       "1/2/16     2060\n",
       "1/3/16      967\n",
       "1/4/16     2519\n",
       "1/5/16      438\n",
       "1/6/16     1935\n",
       "1/7/16     1234\n",
       "1/8/16     2313\n",
       "1/9/16     2623\n",
       "1/10/16     555\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue.sum(1) #satır bazında toplam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "665c4b39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\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>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "457                NaN        NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\")\n",
    "nba\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2f82daf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Avery Bradley\n",
       "1        Jae Crowder\n",
       "2       John Holland\n",
       "3        R.J. Hunter\n",
       "4      Jonas Jerebko\n",
       "           ...      \n",
       "453     Shelvin Mack\n",
       "454        Raul Neto\n",
       "455     Tibor Pleiss\n",
       "456      Jeff Withey\n",
       "457              NaN\n",
       "Name: Name, Length: 458, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.Name #boşluk karakteri olan bir yerde patlar örn->adı soyadı \n",
    "#istediğimiz sütunu seri tipinde dönderir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0d135f83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      7730337.0\n",
       "1      6796117.0\n",
       "2            NaN\n",
       "3      1148640.0\n",
       "4      5000000.0\n",
       "         ...    \n",
       "453    2433333.0\n",
       "454     900000.0\n",
       "455    2900000.0\n",
       "456     947276.0\n",
       "457          NaN\n",
       "Name: Salary, Length: 458, dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.Salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c1b66912",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       PG\n",
       "1       SF\n",
       "2       SG\n",
       "3       SG\n",
       "4       PF\n",
       "      ... \n",
       "453     PG\n",
       "454     PG\n",
       "455      C\n",
       "456      C\n",
       "457    NaN\n",
       "Name: Position, Length: 458, dtype: object"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.Position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "cb9fd7ea",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Avery Bradley\n",
       "1        Jae Crowder\n",
       "2       John Holland\n",
       "3        R.J. Hunter\n",
       "4      Jonas Jerebko\n",
       "           ...      \n",
       "453     Shelvin Mack\n",
       "454        Raul Neto\n",
       "455     Tibor Pleiss\n",
       "456      Jeff Withey\n",
       "457              NaN\n",
       "Name: Name, Length: 458, dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Name\"] #bu kullanımda boşluk sıkıntı olmaz \n",
    "# daha iyi bir kullanım"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3593e272",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Avery Bradley', 'Jae Crowder', 'John Holland', 'R.J. Hunter',\n",
       "       'Jonas Jerebko'], dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Name\"].head().values #numpy.ndarray a çevirir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d621b719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Position</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
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       "      <td>7730337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
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       "      <td>6796117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>SG</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>SG</td>\n",
       "      <td>1148640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>PF</td>\n",
       "      <td>5000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>PG</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>PG</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>C</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>C</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name Position     Salary\n",
       "0    Avery Bradley       PG  7730337.0\n",
       "1      Jae Crowder       SF  6796117.0\n",
       "2     John Holland       SG        NaN\n",
       "3      R.J. Hunter       SG  1148640.0\n",
       "4    Jonas Jerebko       PF  5000000.0\n",
       "..             ...      ...        ...\n",
       "453   Shelvin Mack       PG  2433333.0\n",
       "454      Raul Neto       PG   900000.0\n",
       "455   Tibor Pleiss        C  2900000.0\n",
       "456    Jeff Withey        C   947276.0\n",
       "457            NaN      NaN        NaN\n",
       "\n",
       "[458 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[[\"Name\",\"Position\",\"Salary\"]] # birden fazla sütunu da getirebiliriz\n",
    "#büyük küçük harfe duyarlı dikkat et hata verir yoksa "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5d24a6f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>Avery Bradley</td>\n",
       "      <td>25.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>25.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>27.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name   Age\n",
       "0    Avery Bradley  25.0\n",
       "1      Jae Crowder  25.0\n",
       "2     John Holland  27.0\n",
       "3      R.J. Hunter  22.0\n",
       "4    Jonas Jerebko  29.0\n",
       "..             ...   ...\n",
       "453   Shelvin Mack  26.0\n",
       "454      Raul Neto  24.0\n",
       "455   Tibor Pleiss  26.0\n",
       "456    Jeff Withey  26.0\n",
       "457            NaN   NaN\n",
       "\n",
       "[458 rows x 2 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selectedColumns=[\"Name\",\"Age\"]\n",
    "nba[selectedColumns] #başka bir değere atayıp yolladık"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8105909e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>5000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name     Salary\n",
       "0    Avery Bradley  7730337.0\n",
       "1      Jae Crowder  6796117.0\n",
       "2     John Holland        NaN\n",
       "3      R.J. Hunter  1148640.0\n",
       "4    Jonas Jerebko  5000000.0\n",
       "..             ...        ...\n",
       "453   Shelvin Mack  2433333.0\n",
       "454      Raul Neto   900000.0\n",
       "455   Tibor Pleiss  2900000.0\n",
       "456    Jeff Withey   947276.0\n",
       "457            NaN        NaN\n",
       "\n",
       "[458 rows x 2 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[[\"Name\",\"Position\",\"Salary\"]][[\"Name\",\"Salary\"]]  #bir listenin içinden istediğimiz verileri çektik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4f2c6f3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Name</th>\n",
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       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Sport</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
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       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "      <td>Basketball</td>\n",
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       "    <tr>\n",
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       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "      <td>Basketball</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>Basketball</td>\n",
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       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary       Sport  \n",
       "0                Texas  7730337.0  Basketball  \n",
       "1            Marquette  6796117.0  Basketball  \n",
       "2    Boston University        NaN  Basketball  \n",
       "3        Georgia State  1148640.0  Basketball  \n",
       "4                  NaN  5000000.0  Basketball  \n",
       "..                 ...        ...         ...  \n",
       "453             Butler  2433333.0  Basketball  \n",
       "454                NaN   900000.0  Basketball  \n",
       "455                NaN  2900000.0  Basketball  \n",
       "456             Kansas   947276.0  Basketball  \n",
       "457                NaN        NaN  Basketball  \n",
       "\n",
       "[458 rows x 10 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Sport\"]=\"Basketball\" #columnun içini Basketball ile doldurdu\n",
    "nba #yeni bir column ekleme !! dosyada değişiklik yapmaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d7200973",
   "metadata": {},
   "outputs": [],
   "source": [
    "nba.to_csv(\"resources/resources/nba_new.csv\") #dosyayı da değiştirir\n",
    "#istediğimiz formata çevirebiliriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4270bcf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
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       "      <td>Boston Celtics</td>\n",
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       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>Basketball</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>Basketball</td>\n",
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       "      <td>Tibor Pleiss</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>Basketball</td>\n",
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       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>Basketball</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
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       "</table>\n",
       "<p>458 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary       Sport  \n",
       "0                Texas  7730337.0  Basketball  \n",
       "1            Marquette  6796117.0  Basketball  \n",
       "2    Boston University        NaN  Basketball  \n",
       "3        Georgia State  1148640.0  Basketball  \n",
       "4                  NaN  5000000.0  Basketball  \n",
       "..                 ...        ...         ...  \n",
       "453             Butler  2433333.0  Basketball  \n",
       "454                NaN   900000.0  Basketball  \n",
       "455                NaN  2900000.0  Basketball  \n",
       "456             Kansas   947276.0  Basketball  \n",
       "457                NaN        NaN  Basketball  \n",
       "\n",
       "[458 rows x 10 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "feda3681",
   "metadata": {},
   "outputs": [
    {
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       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name            Team  Number Position   Age Height  Weight  \\\n",
       "0  Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1    Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2   John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3    R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4  Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "\n",
       "             College     Salary       Sport                           League  \n",
       "0              Texas  7730337.0  Basketball  National Basketball Association  \n",
       "1          Marquette  6796117.0  Basketball  National Basketball Association  \n",
       "2  Boston University        NaN  Basketball  National Basketball Association  \n",
       "3      Georgia State  1148640.0  Basketball  National Basketball Association  \n",
       "4                NaN  5000000.0  Basketball  National Basketball Association  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"League\"]=\"National Basketball Association\"\n",
    "nba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f0992a92",
   "metadata": {},
   "outputs": [
    {
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       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
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       "      <td>Basketball</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>National Basketball Association</td>\n",
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       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
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       "      <td>Utah Jazz</td>\n",
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       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>National Basketball Association</td>\n",
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       "<p>458 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary       Sport                           League  \n",
       "0                Texas  7730337.0  Basketball  National Basketball Association  \n",
       "1            Marquette  6796117.0  Basketball  National Basketball Association  \n",
       "2    Boston University        NaN  Basketball  National Basketball Association  \n",
       "3        Georgia State  1148640.0  Basketball  National Basketball Association  \n",
       "4                  NaN  5000000.0  Basketball  National Basketball Association  \n",
       "..                 ...        ...         ...                              ...  \n",
       "453             Butler  2433333.0  Basketball  National Basketball Association  \n",
       "454                NaN   900000.0  Basketball  National Basketball Association  \n",
       "455                NaN  2900000.0  Basketball  National Basketball Association  \n",
       "456             Kansas   947276.0  Basketball  National Basketball Association  \n",
       "457                NaN        NaN  Basketball  National Basketball Association  \n",
       "\n",
       "[458 rows x 11 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b8abc44d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Shelvin Mack</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
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       "      <td>6-1</td>\n",
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       "      <td>Jeff Withey</td>\n",
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       "      <td>NaN</td>\n",
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       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  \n",
       "0     180.0              Texas  7730337.0  \n",
       "1     235.0          Marquette  6796117.0  \n",
       "2     205.0  Boston University        NaN  \n",
       "3     185.0      Georgia State  1148640.0  \n",
       "4     231.0                NaN  5000000.0  \n",
       "..      ...                ...        ...  \n",
       "453   203.0             Butler  2433333.0  \n",
       "454   179.0                NaN   900000.0  \n",
       "455   256.0                NaN  2900000.0  \n",
       "456   231.0             Kansas   947276.0  \n",
       "457     NaN                NaN        NaN  \n",
       "\n",
       "[458 rows x 10 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba = pd.read_csv(\"resources/resources/nba.csv\")\n",
    "nba.insert(loc=5, column=\"Sport\",value=\"Basketball\") # istediğim sütun sırasına istediğim değeri ekledim column 0 dan baslar\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1cefed56",
   "metadata": {},
   "outputs": [
    {
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       "      <td>25.0</td>\n",
       "      <td>Basketball</td>\n",
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       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
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       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
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       "      <th>2</th>\n",
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       "      <td>SG</td>\n",
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       "      <td>Boston University</td>\n",
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       "      <td>SG</td>\n",
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       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
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       "      <td>Jonas Jerebko</td>\n",
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       "      <td>PF</td>\n",
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       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
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       "      <td>Basketball</td>\n",
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       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Basketball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  \n",
       "0     180.0              Texas  7730337.0  \n",
       "1     235.0          Marquette  6796117.0  \n",
       "2     205.0  Boston University        NaN  \n",
       "3     185.0      Georgia State  1148640.0  \n",
       "4     231.0                NaN  5000000.0  \n",
       "..      ...                ...        ...  \n",
       "453   203.0             Butler  2433333.0  \n",
       "454   179.0                NaN   900000.0  \n",
       "455   256.0                NaN  2900000.0  \n",
       "456   231.0             Kansas   947276.0  \n",
       "457     NaN                NaN        NaN  \n",
       "\n",
       "[458 rows x 10 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.Ee = \"futbol\" # olmayan bir column da işlem yapmak istediğimizden Hata'da vermez ama çalışmaz\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "90bb06ca",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Tibor Pleiss</td>\n",
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      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  New Age  \n",
       "0     180.0              Texas  7730337.0     35.0  \n",
       "1     235.0          Marquette  6796117.0     35.0  \n",
       "2     205.0  Boston University        NaN     37.0  \n",
       "3     185.0      Georgia State  1148640.0     32.0  \n",
       "4     231.0                NaN  5000000.0     39.0  \n",
       "..      ...                ...        ...      ...  \n",
       "453   203.0             Butler  2433333.0     36.0  \n",
       "454   179.0                NaN   900000.0     34.0  \n",
       "455   256.0                NaN  2900000.0     36.0  \n",
       "456   231.0             Kansas   947276.0     36.0  \n",
       "457     NaN                NaN        NaN      NaN  \n",
       "\n",
       "[458 rows x 11 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"New Age\"]=nba[\"Age\"]+10 #varolan column dan yeni column oluşturma \n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5c29f6d7",
   "metadata": {},
   "outputs": [
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       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>39.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  New Age  \n",
       "0     180.0              Texas  7730337.0     35.0  \n",
       "1     235.0          Marquette  6796117.0     35.0  \n",
       "2     205.0  Boston University        NaN     37.0  \n",
       "3     185.0      Georgia State  1148640.0     32.0  \n",
       "4     231.0                NaN  5000000.0     39.0  \n",
       "..      ...                ...        ...      ...  \n",
       "453   203.0             Butler  2433333.0     36.0  \n",
       "454   179.0                NaN   900000.0     34.0  \n",
       "455   256.0                NaN  2900000.0     36.0  \n",
       "456   231.0             Kansas   947276.0     36.0  \n",
       "457     NaN                NaN        NaN      NaN  \n",
       "\n",
       "[458 rows x 11 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"New Age\"]=nba[\"Age\"].add(10) # üstteki işlemi böyle de yapabiliriz.\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6209dc70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "      <td>35.0</td>\n",
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       "      <td>SF</td>\n",
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       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>106.5725</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>92.9675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.8975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>104.7585</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>92.0605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>81.1765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>116.0960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>104.7585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  New Age  Weight Kg  \n",
       "0     180.0              Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0          Marquette  6796117.0     35.0   106.5725  \n",
       "2     205.0  Boston University        NaN     37.0    92.9675  \n",
       "3     185.0      Georgia State  1148640.0     32.0    83.8975  \n",
       "4     231.0                NaN  5000000.0     39.0   104.7585  \n",
       "..      ...                ...        ...      ...        ...  \n",
       "453   203.0             Butler  2433333.0     36.0    92.0605  \n",
       "454   179.0                NaN   900000.0     34.0    81.1765  \n",
       "455   256.0                NaN  2900000.0     36.0   116.0960  \n",
       "456   231.0             Kansas   947276.0     36.0   104.7585  \n",
       "457     NaN                NaN        NaN      NaN        NaN  \n",
       "\n",
       "[458 rows x 12 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Weight Kg\"]=nba[\"Weight\"].mul(0.4535) #kilolarını kg cinsine çevirip yeni bir column oluşturduk\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a6201a55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "139.2245"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Weight Kg\"].max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "c2d2a8a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C     17.067834\n",
       "SF    18.599562\n",
       "PG    20.131291\n",
       "PF    21.881838\n",
       "SG    22.319475\n",
       "Name: Position, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Position\"].value_counts(ascending=True,normalize=True)*100 #ascending true küçükten büyüğe sıralama *100 dersek yüzdesini bulurıuz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "6e26afa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "947276.0      31\n",
       "845059.0      18\n",
       "525093.0      13\n",
       "981348.0       6\n",
       "16407500.0     5\n",
       "              ..\n",
       "2100000.0      1\n",
       "1252440.0      1\n",
       "2891760.0      1\n",
       "3272091.0      1\n",
       "900000.0       1\n",
       "Name: Salary, Length: 309, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary\"].value_counts() #maaşların adet miktarı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "61033b53",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>35.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
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       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.8975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jordan Mickey</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>55.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>235.0</td>\n",
       "      <td>LSU</td>\n",
       "      <td>1170960.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>106.5725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kelly Olynyk</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>41.0</td>\n",
       "      <td>C</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>2165160.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>107.9330</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>Rodney Hood</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>5.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Duke</td>\n",
       "      <td>1348440.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>93.4210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Chris Johnson</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>23.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-6</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Dayton</td>\n",
       "      <td>981348.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>93.4210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>106.1190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>92.0605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>104.7585</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>364 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "6    Jordan Mickey  Boston Celtics    55.0       PF  21.0  Basketball    6-8   \n",
       "7     Kelly Olynyk  Boston Celtics    41.0        C  25.0  Basketball    7-0   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "449    Rodney Hood       Utah Jazz     5.0       SG  23.0  Basketball    6-8   \n",
       "451  Chris Johnson       Utah Jazz    23.0       SF  26.0  Basketball    6-6   \n",
       "452     Trey Lyles       Utah Jazz    41.0       PF  20.0  Basketball   6-10   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "\n",
       "     Weight        College     Salary  New Age  Weight Kg  \n",
       "0     180.0          Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0      Marquette  6796117.0     35.0   106.5725  \n",
       "3     185.0  Georgia State  1148640.0     32.0    83.8975  \n",
       "6     235.0            LSU  1170960.0     31.0   106.5725  \n",
       "7     238.0        Gonzaga  2165160.0     35.0   107.9330  \n",
       "..      ...            ...        ...      ...        ...  \n",
       "449   206.0           Duke  1348440.0     33.0    93.4210  \n",
       "451   206.0         Dayton   981348.0     36.0    93.4210  \n",
       "452   234.0       Kentucky  2239800.0     30.0   106.1190  \n",
       "453   203.0         Butler  2433333.0     36.0    92.0605  \n",
       "456   231.0         Kansas   947276.0     36.0   104.7585  \n",
       "\n",
       "[364 rows x 12 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dropna() #null boş kayıtların tüm satırını siler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "58fc9778",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
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       "      <td>37.0</td>\n",
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       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
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       "      <td>Georgia State</td>\n",
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       "      <th>4</th>\n",
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       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>39.0</td>\n",
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       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>26.0</td>\n",
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       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
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       "      <td>36.0</td>\n",
       "      <td>92.0605</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>81.1765</td>\n",
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       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>36.0</td>\n",
       "      <td>116.0960</td>\n",
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       "      <td>Basketball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "<p>458 rows × 12 columns</p>\n",
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      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457            NaN             NaN     NaN      NaN   NaN  Basketball    NaN   \n",
       "\n",
       "     Weight            College     Salary  New Age  Weight Kg  \n",
       "0     180.0              Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0          Marquette  6796117.0     35.0   106.5725  \n",
       "2     205.0  Boston University        NaN     37.0    92.9675  \n",
       "3     185.0      Georgia State  1148640.0     32.0    83.8975  \n",
       "4     231.0                NaN  5000000.0     39.0   104.7585  \n",
       "..      ...                ...        ...      ...        ...  \n",
       "453   203.0             Butler  2433333.0     36.0    92.0605  \n",
       "454   179.0                NaN   900000.0     34.0    81.1765  \n",
       "455   256.0                NaN  2900000.0     36.0   116.0960  \n",
       "456   231.0             Kansas   947276.0     36.0   104.7585  \n",
       "457     NaN                NaN        NaN      NaN        NaN  \n",
       "\n",
       "[458 rows x 12 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dropna(how=\"all\") #tüm alanları boşsa sil. how default olarak any dir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "33fc3738",
   "metadata": {},
   "outputs": [
    {
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       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.8975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jordan Mickey</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>55.0</td>\n",
       "      <td>PF</td>\n",
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       "      <td>6-8</td>\n",
       "      <td>235.0</td>\n",
       "      <td>LSU</td>\n",
       "      <td>1170960.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>106.5725</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>Rodney Hood</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>5.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Duke</td>\n",
       "      <td>1348440.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>93.4210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Chris Johnson</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>23.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-6</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Dayton</td>\n",
       "      <td>981348.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>93.4210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>106.1190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>92.0605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>104.7585</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>373 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "6    Jordan Mickey  Boston Celtics    55.0       PF  21.0  Basketball    6-8   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "449    Rodney Hood       Utah Jazz     5.0       SG  23.0  Basketball    6-8   \n",
       "451  Chris Johnson       Utah Jazz    23.0       SF  26.0  Basketball    6-6   \n",
       "452     Trey Lyles       Utah Jazz    41.0       PF  20.0  Basketball   6-10   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "\n",
       "     Weight            College     Salary  New Age  Weight Kg  \n",
       "0     180.0              Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0          Marquette  6796117.0     35.0   106.5725  \n",
       "2     205.0  Boston University        NaN     37.0    92.9675  \n",
       "3     185.0      Georgia State  1148640.0     32.0    83.8975  \n",
       "6     235.0                LSU  1170960.0     31.0   106.5725  \n",
       "..      ...                ...        ...      ...        ...  \n",
       "449   206.0               Duke  1348440.0     33.0    93.4210  \n",
       "451   206.0             Dayton   981348.0     36.0    93.4210  \n",
       "452   234.0           Kentucky  2239800.0     30.0   106.1190  \n",
       "453   203.0             Butler  2433333.0     36.0    92.0605  \n",
       "456   231.0             Kansas   947276.0     36.0   104.7585  \n",
       "\n",
       "[373 rows x 12 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dropna(subset=[\"College\"]) #collage alalnında boş varsa siler. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "67d2bc1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
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       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.8975</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jordan Mickey</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>55.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>235.0</td>\n",
       "      <td>LSU</td>\n",
       "      <td>1170960.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>106.5725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kelly Olynyk</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>41.0</td>\n",
       "      <td>C</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>Gonzaga</td>\n",
       "      <td>2165160.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>107.9330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>Rodney Hood</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>5.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Duke</td>\n",
       "      <td>1348440.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>93.4210</td>\n",
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       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Chris Johnson</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>23.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-6</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Dayton</td>\n",
       "      <td>981348.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>93.4210</td>\n",
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       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>106.1190</td>\n",
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       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
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       "      <td>203.0</td>\n",
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       "      <td>36.0</td>\n",
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       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
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       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>104.7585</td>\n",
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       "<p>364 rows × 12 columns</p>\n",
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      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "6    Jordan Mickey  Boston Celtics    55.0       PF  21.0  Basketball    6-8   \n",
       "7     Kelly Olynyk  Boston Celtics    41.0        C  25.0  Basketball    7-0   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "449    Rodney Hood       Utah Jazz     5.0       SG  23.0  Basketball    6-8   \n",
       "451  Chris Johnson       Utah Jazz    23.0       SF  26.0  Basketball    6-6   \n",
       "452     Trey Lyles       Utah Jazz    41.0       PF  20.0  Basketball   6-10   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "\n",
       "     Weight        College     Salary  New Age  Weight Kg  \n",
       "0     180.0          Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0      Marquette  6796117.0     35.0   106.5725  \n",
       "3     185.0  Georgia State  1148640.0     32.0    83.8975  \n",
       "6     235.0            LSU  1170960.0     31.0   106.5725  \n",
       "7     238.0        Gonzaga  2165160.0     35.0   107.9330  \n",
       "..      ...            ...        ...      ...        ...  \n",
       "449   206.0           Duke  1348440.0     33.0    93.4210  \n",
       "451   206.0         Dayton   981348.0     36.0    93.4210  \n",
       "452   234.0       Kentucky  2239800.0     30.0   106.1190  \n",
       "453   203.0         Butler  2433333.0     36.0    92.0605  \n",
       "456   231.0         Kansas   947276.0     36.0   104.7585  \n",
       "\n",
       "[364 rows x 12 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dropna(subset=[\"College\",\"Salary\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "88c38976",
   "metadata": {},
   "outputs": [
    {
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       "      <th>15</th>\n",
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       "      <td>216.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3425510.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>97.9560</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Sergey Karasev</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
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       "      <td>6-7</td>\n",
       "      <td>208.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1599840.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>94.3280</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Thanasis Antetokounmpo</td>\n",
       "      <td>New York Knicks</td>\n",
       "      <td>43.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-7</td>\n",
       "      <td>205.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30888.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>92.9675</td>\n",
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       "    <tr>\n",
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       "      <td>Rudy Gobert</td>\n",
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       "      <td>C</td>\n",
       "      <td>23.0</td>\n",
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       "      <td>Joe Ingles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>2.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-8</td>\n",
       "      <td>226.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2050000.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>102.4910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>81.1765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>116.0960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>85 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Name             Team  Number Position   Age  \\\n",
       "4             Jonas Jerebko   Boston Celtics     8.0       PF  29.0   \n",
       "5              Amir Johnson   Boston Celtics    90.0       PF  29.0   \n",
       "15         Bojan Bogdanovic    Brooklyn Nets    44.0       SG  27.0   \n",
       "20           Sergey Karasev    Brooklyn Nets    10.0       SG  22.0   \n",
       "32   Thanasis Antetokounmpo  New York Knicks    43.0       SF  23.0   \n",
       "..                      ...              ...     ...      ...   ...   \n",
       "447             Rudy Gobert        Utah Jazz    27.0        C  23.0   \n",
       "450              Joe Ingles        Utah Jazz     2.0       SF  28.0   \n",
       "454               Raul Neto        Utah Jazz    25.0       PG  24.0   \n",
       "455            Tibor Pleiss        Utah Jazz    21.0        C  26.0   \n",
       "457                     NaN              NaN     NaN      NaN   NaN   \n",
       "\n",
       "          Sport Height  Weight College      Salary  New Age  Weight Kg  \n",
       "4    Basketball   6-10   231.0     NaN   5000000.0     39.0   104.7585  \n",
       "5    Basketball    6-9   240.0     NaN  12000000.0     39.0   108.8400  \n",
       "15   Basketball    6-8   216.0     NaN   3425510.0     37.0    97.9560  \n",
       "20   Basketball    6-7   208.0     NaN   1599840.0     32.0    94.3280  \n",
       "32   Basketball    6-7   205.0     NaN     30888.0     33.0    92.9675  \n",
       "..          ...    ...     ...     ...         ...      ...        ...  \n",
       "447  Basketball    7-1   245.0     NaN   1175880.0     33.0   111.1075  \n",
       "450  Basketball    6-8   226.0     NaN   2050000.0     38.0   102.4910  \n",
       "454  Basketball    6-1   179.0     NaN    900000.0     34.0    81.1765  \n",
       "455  Basketball    7-3   256.0     NaN   2900000.0     36.0   116.0960  \n",
       "457  Basketball    NaN     NaN     NaN         NaN      NaN        NaN  \n",
       "\n",
       "[85 rows x 12 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[nba[\"College\"].isna()] #College da null var mı?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ae61be20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
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       "      <th>Sport</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
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       "      <th>Salary</th>\n",
       "      <th>New Age</th>\n",
       "      <th>Weight Kg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
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       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>81.6300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>106.5725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>92.9675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.8975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>104.7585</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>92.0605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>0</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>81.1765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>116.0960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>104.7585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age       Sport Height  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0  Basketball    6-2   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0  Basketball    6-6   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0  Basketball    6-5   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0  Basketball    6-5   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0  Basketball   6-10   \n",
       "..             ...             ...     ...      ...   ...         ...    ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0  Basketball    6-3   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0  Basketball    6-1   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0  Basketball    7-3   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0  Basketball    7-0   \n",
       "457              0               0     0.0        0   0.0  Basketball      0   \n",
       "\n",
       "     Weight            College     Salary  New Age  Weight Kg  \n",
       "0     180.0              Texas  7730337.0     35.0    81.6300  \n",
       "1     235.0          Marquette  6796117.0     35.0   106.5725  \n",
       "2     205.0  Boston University        0.0     37.0    92.9675  \n",
       "3     185.0      Georgia State  1148640.0     32.0    83.8975  \n",
       "4     231.0                  0  5000000.0     39.0   104.7585  \n",
       "..      ...                ...        ...      ...        ...  \n",
       "453   203.0             Butler  2433333.0     36.0    92.0605  \n",
       "454   179.0                  0   900000.0     34.0    81.1765  \n",
       "455   256.0                  0  2900000.0     36.0   116.0960  \n",
       "456   231.0             Kansas   947276.0     36.0   104.7585  \n",
       "457     0.0                  0        0.0      0.0     0.0000  \n",
       "\n",
       "[458 rows x 12 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#boş alanları doldurmak için \n",
    "nba.fillna(0) #ne kadar boş alan varsa onlara 0 yaptı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "e079ab70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                  Texas\n",
       "1              Marquette\n",
       "2      Boston University\n",
       "3          Georgia State\n",
       "4             Bilinmeyen\n",
       "             ...        \n",
       "453               Butler\n",
       "454           Bilinmeyen\n",
       "455           Bilinmeyen\n",
       "456               Kansas\n",
       "457           Bilinmeyen\n",
       "Name: College, Length: 458, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"College\"].fillna(\"Bilinmeyen\") #bir sütundaki boş olan alanları doldurur  \n",
    "#kalıcı olarak kaydetmek için ya inplace=True dicez ya da\n",
    "#nba =nba[\"College\"].fillna(\"Bilinmeyen\") dicez"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d63319d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      7730337.0\n",
       "1      6796117.0\n",
       "2      2839073.0\n",
       "3      1148640.0\n",
       "4      5000000.0\n",
       "         ...    \n",
       "453    2433333.0\n",
       "454     900000.0\n",
       "455    2900000.0\n",
       "456     947276.0\n",
       "457    2839073.0\n",
       "Name: Salary, Length: 458, dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary\"].fillna(nba[\"Salary\"].median()) #sütundaki boş olan alanları median la doldurur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c1933783",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Name       Team  Number Position   Age Height  Weight   College  \\\n",
       "452    Trey Lyles  Utah Jazz    41.0       PF  20.0   6-10   234.0  Kentucky   \n",
       "453  Shelvin Mack  Utah Jazz     8.0       PG  26.0    6-3   203.0    Butler   \n",
       "454     Raul Neto  Utah Jazz    25.0       PG  24.0    6-1   179.0       NaN   \n",
       "455  Tibor Pleiss  Utah Jazz    21.0        C  26.0    7-3   256.0       NaN   \n",
       "456   Jeff Withey  Utah Jazz    24.0        C  26.0    7-0   231.0    Kansas   \n",
       "\n",
       "        Salary  \n",
       "452  2239800.0  \n",
       "453  2433333.0  \n",
       "454   900000.0  \n",
       "455  2900000.0  \n",
       "456   947276.0  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\").dropna(how=\"all\") # tüm alanları boş olan kayıtları siler\n",
    "nba.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "43e259a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Age\"].hasnans # verilen sütunda boş alan var mı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "75024db3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      25\n",
       "1      25\n",
       "2      27\n",
       "3      22\n",
       "4      29\n",
       "       ..\n",
       "452    20\n",
       "453    26\n",
       "454    24\n",
       "455    26\n",
       "456    26\n",
       "Name: Age, Length: 457, dtype: int32"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Age\"].astype(\"int\") #tür dönüşümü yapar\n",
    "nba[\"Age\"].astype(int) #böyle kullanmak için fonk building func olmalı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "5943d35c",
   "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>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>25</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>457 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position  Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG   25    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF   25    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG   27    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG   22    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF   29   6-10   231.0   \n",
       "..             ...             ...     ...      ...  ...    ...     ...   \n",
       "452     Trey Lyles       Utah Jazz    41.0       PF   20   6-10   234.0   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG   26    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG   24    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C   26    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C   26    7-0   231.0   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "452           Kentucky  2239800.0  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "\n",
       "[457 rows x 9 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Age\"]=nba[\"Age\"].astype(int) #kaydetmiş\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "90549548",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary\"].hasnans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "5f8e620e",
   "metadata": {},
   "outputs": [
    {
     "ename": "IntCastingNaNError",
     "evalue": "Cannot convert non-finite values (NA or inf) to integer",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIntCastingNaNError\u001b[0m                        Traceback (most recent call last)",
      "Input \u001b[1;32mIn [64]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mnba\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSalary\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py:5912\u001b[0m, in \u001b[0;36mNDFrame.astype\u001b[1;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[0;32m   5905\u001b[0m     results \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m   5906\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miloc[:, i]\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n\u001b[0;32m   5907\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns))\n\u001b[0;32m   5908\u001b[0m     ]\n\u001b[0;32m   5910\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   5911\u001b[0m     \u001b[38;5;66;03m# else, only a single dtype is given\u001b[39;00m\n\u001b[1;32m-> 5912\u001b[0m     new_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   5913\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_constructor(new_data)\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mastype\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   5915\u001b[0m \u001b[38;5;66;03m# GH 33113: handle empty frame or series\u001b[39;00m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\managers.py:419\u001b[0m, in \u001b[0;36mBaseBlockManager.astype\u001b[1;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[0;32m    418\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mastype\u001b[39m(\u001b[38;5;28mself\u001b[39m: T, dtype, copy: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m, errors: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mraise\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m T:\n\u001b[1;32m--> 419\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[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mastype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\managers.py:304\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[1;34m(self, f, align_keys, ignore_failures, **kwargs)\u001b[0m\n\u001b[0;32m    302\u001b[0m         applied \u001b[38;5;241m=\u001b[39m b\u001b[38;5;241m.\u001b[39mapply(f, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m    303\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 304\u001b[0m         applied \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(b, f)(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m    305\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mTypeError\u001b[39;00m, \u001b[38;5;167;01mNotImplementedError\u001b[39;00m):\n\u001b[0;32m    306\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ignore_failures:\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\blocks.py:580\u001b[0m, in \u001b[0;36mBlock.astype\u001b[1;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[0;32m    562\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    563\u001b[0m \u001b[38;5;124;03mCoerce to the new dtype.\u001b[39;00m\n\u001b[0;32m    564\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    576\u001b[0m \u001b[38;5;124;03mBlock\u001b[39;00m\n\u001b[0;32m    577\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    578\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalues\n\u001b[1;32m--> 580\u001b[0m new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array_safe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    582\u001b[0m new_values \u001b[38;5;241m=\u001b[39m maybe_coerce_values(new_values)\n\u001b[0;32m    583\u001b[0m newb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmake_block(new_values)\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1292\u001b[0m, in \u001b[0;36mastype_array_safe\u001b[1;34m(values, dtype, copy, errors)\u001b[0m\n\u001b[0;32m   1289\u001b[0m     dtype \u001b[38;5;241m=\u001b[39m dtype\u001b[38;5;241m.\u001b[39mnumpy_dtype\n\u001b[0;32m   1291\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1292\u001b[0m     new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1293\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mValueError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[0;32m   1294\u001b[0m     \u001b[38;5;66;03m# e.g. astype_nansafe can fail on object-dtype of strings\u001b[39;00m\n\u001b[0;32m   1295\u001b[0m     \u001b[38;5;66;03m#  trying to convert to float\u001b[39;00m\n\u001b[0;32m   1296\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1237\u001b[0m, in \u001b[0;36mastype_array\u001b[1;34m(values, dtype, copy)\u001b[0m\n\u001b[0;32m   1234\u001b[0m     values \u001b[38;5;241m=\u001b[39m values\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n\u001b[0;32m   1236\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1237\u001b[0m     values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_nansafe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1239\u001b[0m \u001b[38;5;66;03m# in pandas we don't store numpy str dtypes, so convert to object\u001b[39;00m\n\u001b[0;32m   1240\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(dtype, np\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(values\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mtype, \u001b[38;5;28mstr\u001b[39m):\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1148\u001b[0m, in \u001b[0;36mastype_nansafe\u001b[1;34m(arr, dtype, copy, skipna)\u001b[0m\n\u001b[0;32m   1145\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcannot astype a timedelta from [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00marr\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] to [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdtype\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   1147\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m np\u001b[38;5;241m.\u001b[39missubdtype(arr\u001b[38;5;241m.\u001b[39mdtype, np\u001b[38;5;241m.\u001b[39mfloating) \u001b[38;5;129;01mand\u001b[39;00m np\u001b[38;5;241m.\u001b[39missubdtype(dtype, np\u001b[38;5;241m.\u001b[39minteger):\n\u001b[1;32m-> 1148\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mastype_float_to_int_nansafe\u001b[49m\u001b[43m(\u001b[49m\u001b[43marr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1150\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m is_object_dtype(arr\u001b[38;5;241m.\u001b[39mdtype):\n\u001b[0;32m   1151\u001b[0m \n\u001b[0;32m   1152\u001b[0m     \u001b[38;5;66;03m# work around NumPy brokenness, #1987\u001b[39;00m\n\u001b[0;32m   1153\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39missubdtype(dtype\u001b[38;5;241m.\u001b[39mtype, np\u001b[38;5;241m.\u001b[39minteger):\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1193\u001b[0m, in \u001b[0;36mastype_float_to_int_nansafe\u001b[1;34m(values, dtype, copy)\u001b[0m\n\u001b[0;32m   1189\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   1190\u001b[0m \u001b[38;5;124;03mastype with a check preventing converting NaN to an meaningless integer value.\u001b[39;00m\n\u001b[0;32m   1191\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   1192\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39misfinite(values)\u001b[38;5;241m.\u001b[39mall():\n\u001b[1;32m-> 1193\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m IntCastingNaNError(\n\u001b[0;32m   1194\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot convert non-finite values (NA or inf) to integer\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1195\u001b[0m     )\n\u001b[0;32m   1196\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m values\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n",
      "\u001b[1;31mIntCastingNaNError\u001b[0m: Cannot convert non-finite values (NA or inf) to integer"
     ]
    }
   ],
   "source": [
    "nba[\"Salary\"].astype(int) #boş kayıt varsa patlar ya boşları silecez ya da dolduracaz ondan sonra tür dönüşümü yapabiliriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "c96d7b73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      7730337\n",
       "1      6796117\n",
       "2            0\n",
       "3      1148640\n",
       "4      5000000\n",
       "        ...   \n",
       "452    2239800\n",
       "453    2433333\n",
       "454     900000\n",
       "455    2900000\n",
       "456     947276\n",
       "Name: Salary, Length: 457, dtype: int32"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary\"]=nba[\"Salary\"].fillna(0)\n",
    "nba[\"Salary\"].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "bf677f52",
   "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>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Name       Team  Number Position   Age Height  Weight   College  \\\n",
       "452    Trey Lyles  Utah Jazz    41.0       PF  20.0   6-10   234.0  Kentucky   \n",
       "453  Shelvin Mack  Utah Jazz     8.0       PG  26.0    6-3   203.0    Butler   \n",
       "454     Raul Neto  Utah Jazz    25.0       PG  24.0    6-1   179.0       NaN   \n",
       "455  Tibor Pleiss  Utah Jazz    21.0        C  26.0    7-3   256.0       NaN   \n",
       "456   Jeff Withey  Utah Jazz    24.0        C  26.0    7-0   231.0    Kansas   \n",
       "\n",
       "        Salary  \n",
       "452  2239800.0  \n",
       "453  2433333.0  \n",
       "454   900000.0  \n",
       "455  2900000.0  \n",
       "456   947276.0  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\").dropna(how=\"all\") \n",
    "nba.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "87f4ffaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 457 entries, 0 to 456\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   Name      457 non-null    object \n",
      " 1   Team      457 non-null    object \n",
      " 2   Number    457 non-null    float64\n",
      " 3   Position  457 non-null    object \n",
      " 4   Age       457 non-null    float64\n",
      " 5   Height    457 non-null    object \n",
      " 6   Weight    457 non-null    float64\n",
      " 7   College   373 non-null    object \n",
      " 8   Salary    446 non-null    float64\n",
      "dtypes: float64(4), object(5)\n",
      "memory usage: 35.7+ KB\n"
     ]
    }
   ],
   "source": [
    "nba.info() #object olan alanlarda tekrar eden veri var mı dikkat et"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "b5843f33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PG', 'SF', 'SG', 'PF', 'C'], dtype=object)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Position\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "56a44f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Position\"].nunique() #unique değerlerin sayısını verir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "33869a28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 457 entries, 0 to 456\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Non-Null Count  Dtype   \n",
      "---  ------    --------------  -----   \n",
      " 0   Name      457 non-null    object  \n",
      " 1   Team      457 non-null    object  \n",
      " 2   Number    457 non-null    float64 \n",
      " 3   Position  457 non-null    category\n",
      " 4   Age       457 non-null    float64 \n",
      " 5   Height    457 non-null    object  \n",
      " 6   Weight    457 non-null    float64 \n",
      " 7   College   373 non-null    object  \n",
      " 8   Salary    446 non-null    float64 \n",
      "dtypes: category(1), float64(4), object(4)\n",
      "memory usage: 32.8+ KB\n"
     ]
    }
   ],
   "source": [
    "nba[\"Position\"]=nba[\"Position\"].astype(\"category\") #türünü category e dönüştürdük\n",
    "nba.info() #bellekteki yeri azaldı"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "0c6ccbf0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 457 entries, 0 to 456\n",
      "Data columns (total 9 columns):\n",
      " #   Column    Non-Null Count  Dtype   \n",
      "---  ------    --------------  -----   \n",
      " 0   Name      457 non-null    object  \n",
      " 1   Team      457 non-null    category\n",
      " 2   Number    457 non-null    float64 \n",
      " 3   Position  457 non-null    category\n",
      " 4   Age       457 non-null    float64 \n",
      " 5   Height    457 non-null    object  \n",
      " 6   Weight    457 non-null    float64 \n",
      " 7   College   373 non-null    object  \n",
      " 8   Salary    446 non-null    float64 \n",
      "dtypes: category(2), float64(4), object(3)\n",
      "memory usage: 30.9+ KB\n"
     ]
    }
   ],
   "source": [
    "nba[\"Team\"]=nba[\"Team\"].astype(\"category\") #bellekte kapaldığı alanı azalttık\n",
    "nba.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "29aea5ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
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       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
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       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
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       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
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       "      <td>256.0</td>\n",
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       "      <td>2900000.0</td>\n",
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       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
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       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Name       Team  Number Position   Age Height  Weight College  \\\n",
       "453  Shelvin Mack  Utah Jazz     8.0       PG  26.0    6-3   203.0  Butler   \n",
       "454     Raul Neto  Utah Jazz    25.0       PG  24.0    6-1   179.0     NaN   \n",
       "455  Tibor Pleiss  Utah Jazz    21.0        C  26.0    7-3   256.0     NaN   \n",
       "456   Jeff Withey  Utah Jazz    24.0        C  26.0    7-0   231.0  Kansas   \n",
       "457           NaN        NaN     NaN      NaN   NaN    NaN     NaN     NaN   \n",
       "\n",
       "        Salary  \n",
       "453  2433333.0  \n",
       "454   900000.0  \n",
       "455  2900000.0  \n",
       "456   947276.0  \n",
       "457        NaN  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\")\n",
    "nba.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "669fdb99",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>237</th>\n",
       "      <td>Zaza Pachulia</td>\n",
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       "      <th>271</th>\n",
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       "      <td>34.0</td>\n",
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       "      <td>260.0</td>\n",
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       "      <th>402</th>\n",
       "      <td>Zach LaVine</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>189.0</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>2148360.0</td>\n",
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       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Xavier Munford</td>\n",
       "      <td>Memphis Grizzlies</td>\n",
       "      <td>14.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>Wilson Chandler</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "      <td>21.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>225.0</td>\n",
       "      <td>DePaul</td>\n",
       "      <td>10449438.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>Adreian Payne</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "      <td>33.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>237.0</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>1938840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Aaron Harrison</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "      <td>9.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>210.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>525093.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>Aaron Gordon</td>\n",
       "      <td>Orlando Magic</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6-9</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>4171680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Aaron Brooks</td>\n",
       "      <td>Chicago Bulls</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6-0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>2250000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name                    Team  Number Position   Age Height  \\\n",
       "237    Zaza Pachulia        Dallas Mavericks    27.0        C  32.0   6-11   \n",
       "271    Zach Randolph       Memphis Grizzlies    50.0       PF  34.0    6-9   \n",
       "402      Zach LaVine  Minnesota Timberwolves     8.0       PG  21.0    6-5   \n",
       "270   Xavier Munford       Memphis Grizzlies    14.0       PG  24.0    6-3   \n",
       "386  Wilson Chandler          Denver Nuggets    21.0       SF  29.0    6-8   \n",
       "..               ...                     ...     ...      ...   ...    ...   \n",
       "404    Adreian Payne  Minnesota Timberwolves    33.0       PF  25.0   6-10   \n",
       "328   Aaron Harrison       Charlotte Hornets     9.0       SG  21.0    6-6   \n",
       "356     Aaron Gordon           Orlando Magic     0.0       PF  20.0    6-9   \n",
       "152     Aaron Brooks           Chicago Bulls     0.0       PG  31.0    6-0   \n",
       "457              NaN                     NaN     NaN      NaN   NaN    NaN   \n",
       "\n",
       "     Weight         College      Salary  \n",
       "237   275.0             NaN   5200000.0  \n",
       "271   260.0  Michigan State   9638555.0  \n",
       "402   189.0            UCLA   2148360.0  \n",
       "270   180.0    Rhode Island         NaN  \n",
       "386   225.0          DePaul  10449438.0  \n",
       "..      ...             ...         ...  \n",
       "404   237.0  Michigan State   1938840.0  \n",
       "328   210.0        Kentucky    525093.0  \n",
       "356   220.0         Arizona   4171680.0  \n",
       "152   161.0          Oregon   2250000.0  \n",
       "457     NaN             NaN         NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.sort_values(by=\"Name\",ascending=False) #ascending=False büyükten küçüğe \n",
    "#by ile hangi columna göre sırlama yapılacağını belirleriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "da39b054",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
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       "    <tr>\n",
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       "      <td>Jordan Farmar</td>\n",
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       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>Ray McCallum</td>\n",
       "      <td>Memphis Grizzlies</td>\n",
       "      <td>5.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Detroit</td>\n",
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       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Chris Bosh</td>\n",
       "      <td>Miami Heat</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6-11</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Georgia Tech</td>\n",
       "      <td>22192730.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>Dwight Howard</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>12.0</td>\n",
       "      <td>C</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-11</td>\n",
       "      <td>265.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22359364.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Carmelo Anthony</td>\n",
       "      <td>New York Knicks</td>\n",
       "      <td>7.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>240.0</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>22875000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>LeBron James</td>\n",
       "      <td>Cleveland Cavaliers</td>\n",
       "      <td>23.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>250.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22970500.0</td>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Kobe Bryant</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>24.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>37.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>212.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25000000.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name                 Team  Number Position   Age Height  \\\n",
       "2       John Holland       Boston Celtics    30.0       SG  27.0    6-5   \n",
       "46       Elton Brand   Philadelphia 76ers    42.0       PF  37.0    6-9   \n",
       "171    Dahntay Jones  Cleveland Cavaliers    30.0       SG  35.0    6-6   \n",
       "264    Jordan Farmar    Memphis Grizzlies     4.0       PG  29.0    6-2   \n",
       "269     Ray McCallum    Memphis Grizzlies     5.0       PG  24.0    6-3   \n",
       "..               ...                  ...     ...      ...   ...    ...   \n",
       "339       Chris Bosh           Miami Heat     1.0       PF  32.0   6-11   \n",
       "251    Dwight Howard      Houston Rockets    12.0        C  30.0   6-11   \n",
       "33   Carmelo Anthony      New York Knicks     7.0       SF  32.0    6-8   \n",
       "169     LeBron James  Cleveland Cavaliers    23.0       SF  31.0    6-8   \n",
       "109      Kobe Bryant   Los Angeles Lakers    24.0       SF  37.0    6-6   \n",
       "\n",
       "     Weight            College      Salary  \n",
       "2     205.0  Boston University         NaN  \n",
       "46    254.0               Duke         NaN  \n",
       "171   225.0               Duke         NaN  \n",
       "264   180.0               UCLA         NaN  \n",
       "269   190.0            Detroit         NaN  \n",
       "..      ...                ...         ...  \n",
       "339   235.0       Georgia Tech  22192730.0  \n",
       "251   265.0                NaN  22359364.0  \n",
       "33    240.0           Syracuse  22875000.0  \n",
       "169   250.0                NaN  22970500.0  \n",
       "109   212.0                NaN  25000000.0  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.sort_values(by=\"Salary\",na_position=\"first\") #nan alanların yerini na_positionla belirleriz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "d1b666e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Al Horford</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>15.0</td>\n",
       "      <td>C</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>245.0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>12000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Dennis Schroder</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>17.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>172.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1763400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Jeff Teague</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>186.0</td>\n",
       "      <td>Wake Forest</td>\n",
       "      <td>8000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>Kent Bazemore</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>24.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>201.0</td>\n",
       "      <td>Old Dominion</td>\n",
       "      <td>2000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>Kirk Hinrich</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>12.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6-4</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2854940.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>Markieff Morris</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>5.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>245.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>8000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Nene Hilario</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>42.0</td>\n",
       "      <td>C</td>\n",
       "      <td>33.0</td>\n",
       "      <td>6-11</td>\n",
       "      <td>250.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>Otto Porter Jr.</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>22.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>198.0</td>\n",
       "      <td>Georgetown</td>\n",
       "      <td>4662960.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>Ramon Sessions</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>7.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>190.0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>2170465.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name                Team  Number Position   Age Height  \\\n",
       "312       Al Horford       Atlanta Hawks    15.0        C  30.0   6-10   \n",
       "318  Dennis Schroder       Atlanta Hawks    17.0       PG  22.0    6-1   \n",
       "323      Jeff Teague       Atlanta Hawks     0.0       PG  27.0    6-2   \n",
       "309    Kent Bazemore       Atlanta Hawks    24.0       SF  26.0    6-5   \n",
       "311     Kirk Hinrich       Atlanta Hawks    12.0       SG  35.0    6-4   \n",
       "..               ...                 ...     ...      ...   ...    ...   \n",
       "376  Markieff Morris  Washington Wizards     5.0       PF  26.0   6-10   \n",
       "375     Nene Hilario  Washington Wizards    42.0        C  33.0   6-11   \n",
       "378  Otto Porter Jr.  Washington Wizards    22.0       SF  23.0    6-8   \n",
       "379   Ramon Sessions  Washington Wizards     7.0       PG  30.0    6-3   \n",
       "457              NaN                 NaN     NaN      NaN   NaN    NaN   \n",
       "\n",
       "     Weight       College      Salary  \n",
       "312   245.0       Florida  12000000.0  \n",
       "318   172.0           NaN   1763400.0  \n",
       "323   186.0   Wake Forest   8000000.0  \n",
       "309   201.0  Old Dominion   2000000.0  \n",
       "311   190.0        Kansas   2854940.0  \n",
       "..      ...           ...         ...  \n",
       "376   245.0        Kansas   8000000.0  \n",
       "375   250.0           NaN  13000000.0  \n",
       "378   198.0    Georgetown   4662960.0  \n",
       "379   190.0        Nevada   2170465.0  \n",
       "457     NaN           NaN         NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.sort_values(by=[\"Team\",\"Name\"]) #ilk önce ilk alana göre sıralar. ikinci alanı da ilk alana göre sıralar\n",
    "#önce teamleri,teamleri aynı olanlarında name lerini sıralar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "98a3b16d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>24.0</td>\n",
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       "      <th>320</th>\n",
       "      <td>Thabo Sefolosha</td>\n",
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       "      <td>32.0</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4000000.0</td>\n",
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       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>Paul Millsap</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>4.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>246.0</td>\n",
       "      <td>Louisiana Tech</td>\n",
       "      <td>18671659.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>Garrett Temple</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>17.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>195.0</td>\n",
       "      <td>LSU</td>\n",
       "      <td>1100602.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Drew Gooden</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>90.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>3300000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>Bradley Beal</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>3.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>207.0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>5694674.0</td>\n",
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       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>Alan Anderson</td>\n",
       "      <td>Washington Wizards</td>\n",
       "      <td>6.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>33.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Michigan State</td>\n",
       "      <td>4000000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Name                Team  Number Position   Age Height  \\\n",
       "322    Walter Tavares       Atlanta Hawks    22.0        C  24.0    7-3   \n",
       "310  Tim Hardaway Jr.       Atlanta Hawks    10.0       SG  24.0    6-6   \n",
       "321    Tiago Splitter       Atlanta Hawks    11.0        C  31.0   6-11   \n",
       "320   Thabo Sefolosha       Atlanta Hawks    25.0       SF  32.0    6-7   \n",
       "315      Paul Millsap       Atlanta Hawks     4.0       PF  31.0    6-8   \n",
       "..                ...                 ...     ...      ...   ...    ...   \n",
       "380    Garrett Temple  Washington Wizards    17.0       SG  30.0    6-6   \n",
       "372       Drew Gooden  Washington Wizards    90.0       PF  34.0   6-10   \n",
       "369      Bradley Beal  Washington Wizards     3.0       SG  22.0    6-5   \n",
       "368     Alan Anderson  Washington Wizards     6.0       SG  33.0    6-6   \n",
       "457               NaN                 NaN     NaN      NaN   NaN    NaN   \n",
       "\n",
       "     Weight         College      Salary  \n",
       "322   260.0             NaN   1000000.0  \n",
       "310   205.0        Michigan   1304520.0  \n",
       "321   245.0             NaN   9756250.0  \n",
       "320   220.0             NaN   4000000.0  \n",
       "315   246.0  Louisiana Tech  18671659.0  \n",
       "..      ...             ...         ...  \n",
       "380   195.0             LSU   1100602.0  \n",
       "372   250.0          Kansas   3300000.0  \n",
       "369   207.0         Florida   5694674.0  \n",
       "368   220.0  Michigan State   4000000.0  \n",
       "457     NaN             NaN         NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=nba.sort_values(by=[\"Team\",\"Name\"],ascending=[True,False]) #team e göre küçükten büyüğe name göre büyükten küçüğe sıralar\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "11bbf229",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
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       "      <td>235.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
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       "      <td>205.0</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
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       "      <td>28.0</td>\n",
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       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
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       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
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       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "457                NaN        NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=nba.sort_index() #index e göre sıralama yapmayı sağlar\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "0bc44e74",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
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       "      <th>Salary</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Name            Team  Number Position   Age Height  Weight  \\\n",
       "0  Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1    Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2   John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3    R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4  Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "\n",
       "             College   Salary  \n",
       "0              Texas  7730337  \n",
       "1          Marquette  6796117  \n",
       "2  Boston University        0  \n",
       "3      Georgia State  1148640  \n",
       "4                NaN  5000000  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba=pd.read_csv(\"resources/resources/nba.csv\").dropna(how=\"all\")\n",
    "nba[\"Salary\"]=nba[\"Salary\"].fillna(0).astype(\"int\")\n",
    "nba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "015b3f2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      361.0\n",
       "1      348.0\n",
       "2        6.0\n",
       "3      136.0\n",
       "4      311.0\n",
       "       ...  \n",
       "452    208.0\n",
       "453    217.0\n",
       "454     75.0\n",
       "455    243.5\n",
       "456     91.0\n",
       "Name: Salary, Length: 457, dtype: float64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary\"].rank() #en küçük kaydın kaçıncı sırada olduğunu verir. ascending default olarak True,false olursa en büyüğü verir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "155c7ea8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Avery Bradley</td>\n",
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       "      <td>John Holland</td>\n",
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       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640</td>\n",
       "      <td>322</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Trey Lyles</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>41.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>234.0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>2239800</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333</td>\n",
       "      <td>241</td>\n",
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       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000</td>\n",
       "      <td>383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>457 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "452     Trey Lyles       Utah Jazz    41.0       PF  20.0   6-10   234.0   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "\n",
       "               College   Salary  Salary Rank  \n",
       "0                Texas  7730337           97  \n",
       "1            Marquette  6796117          110  \n",
       "2    Boston University        0          452  \n",
       "3        Georgia State  1148640          322  \n",
       "4                  NaN  5000000          147  \n",
       "..                 ...      ...          ...  \n",
       "452           Kentucky  2239800          250  \n",
       "453             Butler  2433333          241  \n",
       "454                NaN   900000          383  \n",
       "455                NaN  2900000          214  \n",
       "456             Kansas   947276          367  \n",
       "\n",
       "[457 rows x 10 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba[\"Salary Rank\"]=nba[\"Salary\"].rank(ascending=False).astype(int) #salary lerinin kaçıncı sırada olduğunu gösteren yeni bir column oluşturdu\n",
    "nba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "ac3baff4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>109</th>\n",
       "      <td>Kobe Bryant</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>24.0</td>\n",
       "      <td>SF</td>\n",
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       "      <th>169</th>\n",
       "      <td>LeBron James</td>\n",
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       "      <td>23.0</td>\n",
       "      <td>SF</td>\n",
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       "      <th>33</th>\n",
       "      <td>Carmelo Anthony</td>\n",
       "      <td>New York Knicks</td>\n",
       "      <td>7.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6-8</td>\n",
       "      <td>240.0</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>22875000</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>Dwight Howard</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>12.0</td>\n",
       "      <td>C</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-11</td>\n",
       "      <td>265.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22359364</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Chris Bosh</td>\n",
       "      <td>Miami Heat</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6-11</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Georgia Tech</td>\n",
       "      <td>22192730</td>\n",
       "      <td>5</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>Dorell Wright</td>\n",
       "      <td>Miami Heat</td>\n",
       "      <td>11.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6-9</td>\n",
       "      <td>205.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Jordan Farmar</td>\n",
       "      <td>Memphis Grizzlies</td>\n",
       "      <td>4.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>UCLA</td>\n",
       "      <td>0</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>Greg Smith</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "      <td>4.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Fresno State</td>\n",
       "      <td>0</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Alex Stepheson</td>\n",
       "      <td>Memphis Grizzlies</td>\n",
       "      <td>35.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>28.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>270.0</td>\n",
       "      <td>USC</td>\n",
       "      <td>0</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Xavier Munford</td>\n",
       "      <td>Memphis Grizzlies</td>\n",
       "      <td>14.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>0</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>457 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name                    Team  Number Position   Age Height  \\\n",
       "109      Kobe Bryant      Los Angeles Lakers    24.0       SF  37.0    6-6   \n",
       "169     LeBron James     Cleveland Cavaliers    23.0       SF  31.0    6-8   \n",
       "33   Carmelo Anthony         New York Knicks     7.0       SF  32.0    6-8   \n",
       "251    Dwight Howard         Houston Rockets    12.0        C  30.0   6-11   \n",
       "339       Chris Bosh              Miami Heat     1.0       PF  32.0   6-11   \n",
       "..               ...                     ...     ...      ...   ...    ...   \n",
       "353    Dorell Wright              Miami Heat    11.0       SF  30.0    6-9   \n",
       "264    Jordan Farmar       Memphis Grizzlies     4.0       PG  29.0    6-2   \n",
       "409       Greg Smith  Minnesota Timberwolves     4.0       PF  25.0   6-10   \n",
       "273   Alex Stepheson       Memphis Grizzlies    35.0       PF  28.0   6-10   \n",
       "270   Xavier Munford       Memphis Grizzlies    14.0       PG  24.0    6-3   \n",
       "\n",
       "     Weight       College    Salary  Salary Rank  \n",
       "109   212.0           NaN  25000000            1  \n",
       "169   250.0           NaN  22970500            2  \n",
       "33    240.0      Syracuse  22875000            3  \n",
       "251   265.0           NaN  22359364            4  \n",
       "339   235.0  Georgia Tech  22192730            5  \n",
       "..      ...           ...       ...          ...  \n",
       "353   205.0           NaN         0          452  \n",
       "264   180.0          UCLA         0          452  \n",
       "409   250.0  Fresno State         0          452  \n",
       "273   270.0           USC         0          452  \n",
       "270   180.0  Rhode Island         0          452  \n",
       "\n",
       "[457 rows x 10 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.sort_values(\"Salary\",ascending=False) #salary leri büyükten küçüğe doğru sıraladı"
   ]
  }
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