DataFrames (4).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# DataFrames\n",
    "\n",
    "Consider DataFrame as a combination of Series objects put together to share the same index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy.random import randn\n",
    "np.random.seed(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(randn(4,5),index=[\"R1\", \"R2\", \"R3\",\"R4\"],columns=[\"C1\",\"C2\",\"C3\",\"C4\",\"C5\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selection and Indexing\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R1   -0.611756\n",
       "R2    1.744812\n",
       "R3   -2.060141\n",
       "R4   -0.172428\n",
       "Name: C2, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['C2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>C2</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>1.744812</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-0.172428</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C2        C4        C5\n",
       "R1 -0.611756 -1.072969  0.865408\n",
       "R2  1.744812  0.319039 -0.249370\n",
       "R3 -2.060141 -0.384054  1.133769\n",
       "R4 -0.172428  0.042214  0.582815"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pass a list of column names\n",
    "df1[['C2','C4','C5']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R1    1.624345\n",
       "R2   -2.301539\n",
       "R3    1.462108\n",
       "R4   -1.099891\n",
       "Name: C1, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Similar to SQL Syntax (NOT RECOMMENDED!)\n",
    "df1.C1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DataFrame Columns are just like Series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df1['C2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Creating a new column:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['C6'] = df1['C1'] + df1['C2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>C6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>1.012589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>-0.556727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>-0.598033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "      <td>-1.272319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5        C6\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  1.012589\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370 -0.556727\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769 -0.598033\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815 -1.272319"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Removing Columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>C6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>1.012589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>-0.556727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>-0.598033</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "          C1        C2        C3        C4        C5        C6\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  1.012589\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370 -0.556727\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769 -0.598033"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2=df1.drop('R4',axis=0)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>C6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>1.012589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>-0.556727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>-0.598033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "      <td>-1.272319</td>\n",
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      "text/plain": [
       "          C1        C2        C3        C4        C5        C6\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  1.012589\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370 -0.556727\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769 -0.598033\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815 -1.272319"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>C6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>1.012589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>-0.556727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>-0.598033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "      <td>-1.272319</td>\n",
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      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5        C6\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  1.012589\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370 -0.556727\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769 -0.598033\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815 -1.272319"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 #Not inplace(permanent change) unless specified!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.drop('C6',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.drop('R4',axis=0) #axis = 0 for rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Selecting Rows**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C1   -2.301539\n",
       "C2    1.744812\n",
       "C3   -0.761207\n",
       "C4    0.319039\n",
       "C5   -0.249370\n",
       "Name: R2, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc['R2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C1    1.462108\n",
       "C2   -2.060141\n",
       "C3   -0.322417\n",
       "C4   -0.384054\n",
       "C5    1.133769\n",
       "Name: R3, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.iloc[2] #accessing rows based off of position instead of label "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.31903909605709857"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc['R2','C4'] #Selecting subset of rows and columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>C1</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C5\n",
       "R2 -2.301539 -0.249370\n",
       "R3  1.462108  1.133769"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc[['R2','R3'],['C1','C5']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering data based on condition(Conditional Selection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       C1     C2     C3     C4     C5\n",
       "R1   True  False  False  False   True\n",
       "R2  False   True  False   True  False\n",
       "R3   True  False  False  False   True\n",
       "R4  False  False  False  False   True"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1>0.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2  C3        C4        C5\n",
       "R1  1.624345       NaN NaN       NaN  0.865408\n",
       "R2       NaN  1.744812 NaN  0.319039       NaN\n",
       "R3  1.462108       NaN NaN       NaN  1.133769\n",
       "R4       NaN       NaN NaN  0.042214  0.582815"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R1     True\n",
       "R2    False\n",
       "R3     True\n",
       "R4    False\n",
       "Name: C1, dtype: bool"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['C1']>0.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
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      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1['C1']>0.3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R1   -0.528172\n",
       "R3   -0.322417\n",
       "Name: C3, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1['C1']>0.3]['C3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>C3</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>-0.528172</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>-0.322417</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C3        C5\n",
       "R1 -0.528172  0.865408\n",
       "R3 -0.322417  1.133769"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1['C1']>0.3][['C3','C5']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For multiple conditions use logical operators like &,| etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [C1, C2, C3, C4, C5]\n",
       "Index: []"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[(df1['C1']>0.3) & (df1['C3'] > 1.2)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### More about Indexing \n",
    "\n",
    "Let's see how to reset the index or setting it to something else."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>index</th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>R1</td>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R2</td>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R3</td>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R4</td>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  index        C1        C2        C3        C4        C5\n",
       "0    R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "1    R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "2    R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "3    R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reset to default 0,1...n index\n",
    "df1.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_index = 'AB CD EF GH'.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['New'] = new_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>New</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>AB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>CD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>EF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "      <td>GH</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5 New\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  AB\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370  CD\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769  EF\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815  GH"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "    <tr>\n",
       "      <th>New</th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AB</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EF</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GH</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           C1        C2        C3        C4        C5\n",
       "New                                                  \n",
       "AB   1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "CD  -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "EF   1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "GH  -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.set_index('New')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\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>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
       "      <th>New</th>\n",
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       "  <tbody>\n",
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       "      <th>R1</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "      <td>AB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R2</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "      <td>CD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R3</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "      <td>EF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R4</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "      <td>GH</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          C1        C2        C3        C4        C5 New\n",
       "R1  1.624345 -0.611756 -0.528172 -1.072969  0.865408  AB\n",
       "R2 -2.301539  1.744812 -0.761207  0.319039 -0.249370  CD\n",
       "R3  1.462108 -2.060141 -0.322417 -0.384054  1.133769  EF\n",
       "R4 -1.099891 -0.172428 -0.877858  0.042214  0.582815  GH"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.set_index('New',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>C1</th>\n",
       "      <th>C2</th>\n",
       "      <th>C3</th>\n",
       "      <th>C4</th>\n",
       "      <th>C5</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AB</th>\n",
       "      <td>1.624345</td>\n",
       "      <td>-0.611756</td>\n",
       "      <td>-0.528172</td>\n",
       "      <td>-1.072969</td>\n",
       "      <td>0.865408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD</th>\n",
       "      <td>-2.301539</td>\n",
       "      <td>1.744812</td>\n",
       "      <td>-0.761207</td>\n",
       "      <td>0.319039</td>\n",
       "      <td>-0.249370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EF</th>\n",
       "      <td>1.462108</td>\n",
       "      <td>-2.060141</td>\n",
       "      <td>-0.322417</td>\n",
       "      <td>-0.384054</td>\n",
       "      <td>1.133769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GH</th>\n",
       "      <td>-1.099891</td>\n",
       "      <td>-0.172428</td>\n",
       "      <td>-0.877858</td>\n",
       "      <td>0.042214</td>\n",
       "      <td>0.582815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           C1        C2        C3        C4        C5\n",
       "New                                                  \n",
       "AB   1.624345 -0.611756 -0.528172 -1.072969  0.865408\n",
       "CD  -2.301539  1.744812 -0.761207  0.319039 -0.249370\n",
       "EF   1.462108 -2.060141 -0.322417 -0.384054  1.133769\n",
       "GH  -1.099891 -0.172428 -0.877858  0.042214  0.582815"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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