pandas_right_join_same_col

pandas_right_join_same_col.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   col1  col2  col3\n",
      "0     1     2     3\n",
      "1     2     4     5\n",
      "2     3     4     5\n",
      "   col1  col2  col3\n",
      "0     1     2     3\n",
      "1     2     4     4\n",
      "2     4     5     6\n"
     ]
    }
   ],
   "source": [
    "df1 = pd.DataFrame([[1,2,3], [2,4,5], [3,4,5]], columns = ['col1', 'col2', 'col3'])\n",
    "df2 = pd.DataFrame([[1,2,3], [2,4,4], [4,5,6]], columns = ['col1', 'col2', 'col3'])\n",
    "print(df1); print(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>col1</th>\n",
       "      <th>col2</th>\n",
       "      <th>col3_x</th>\n",
       "      <th>col3_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   col1  col2  col3_x  col3_y\n",
       "0     1     2     3.0       3\n",
       "1     2     4     5.0       4\n",
       "2     4     5     NaN       6"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(df1, df2, how = 'right', left_on = ['col1', 'col2'], right_on = ['col1', 'col2'])\n",
    "#how = {'left', 'right', 'outer', 'inner'}, default 'inner'"
   ]
  }
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