pandas_part7.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "# Concat DataFrame \n",
    "------------\n",
    "       Concat is very useful method of pandas.You can concatanate two dataframes in two way -\n",
    "          1)Append by row\n",
    "          2)Append by col\n",
    "  \n",
    "### 1) Append by row :\n",
    "       Concat is the method of pandas in which you can join two and more dataframes provided its indices are same.\n",
    "       Let's take an example -\n",
    "       You have two dataframes of weathers of two cities Kolkata and Chennai,\n",
    "       \n",
    "   <code> df=pd.concat([dataframe_1,dataframe_2,...,dataframe_n]) </code>\n",
    "       for n number of dataframes,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>event</th>\n",
       "      <th>temp</th>\n",
       "      <th>wind-speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>hot</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12    hot    20          33\n",
       "1  03-02-12  sunny    21          23\n",
       "2  04-02-12  rainy    15          45\n",
       "3  05-02-12   cold    18          24"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chennai={\n",
    "      \"date\":['01-02-12','03-02-12','04-02-12','05-02-12'],\n",
    "      \"event\":['hot','sunny','rainy','cold'],\n",
    "      \"wind-speed\":[33,23,45,24],\n",
    "      \"temp\":[20,21,15,18]\n",
    "}\n",
    "chen=pd.DataFrame(chennai)\n",
    "chen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th>temp</th>\n",
       "      <th>wind-speed</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12  sunny    14          12\n",
       "1  03-02-12   cold    16          10\n",
       "2  04-02-12   cold    15           9\n",
       "3  05-02-12  rainy    10          14"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kolkata={\n",
    "      \"date\":['01-02-12','03-02-12','04-02-12','05-02-12'],\n",
    "      \"event\":['sunny','cold','cold','rainy'],\n",
    "      \"wind-speed\":[12,10,9,14],\n",
    "      \"temp\":[14,16,15,10]\n",
    "}\n",
    "kol=pd.DataFrame(kolkata)\n",
    "kol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>wind-speed</th>\n",
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       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
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       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
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       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>rainy</td>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>hot</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12  sunny    14          12\n",
       "1  03-02-12   cold    16          10\n",
       "2  04-02-12   cold    15           9\n",
       "3  05-02-12  rainy    10          14\n",
       "0  01-02-12    hot    20          33\n",
       "1  03-02-12  sunny    21          23\n",
       "2  04-02-12  rainy    15          45\n",
       "3  05-02-12   cold    18          24"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.concat([kol,chen])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  **You can observe the index first 0 to 3 then again 0 to 3.To ignore this you have to pass an extra argument.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>4</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>hot</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
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      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12  sunny    14          12\n",
       "1  03-02-12   cold    16          10\n",
       "2  04-02-12   cold    15           9\n",
       "3  05-02-12  rainy    10          14\n",
       "4  01-02-12    hot    20          33\n",
       "5  03-02-12  sunny    21          23\n",
       "6  04-02-12  rainy    15          45\n",
       "7  05-02-12   cold    18          24"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.concat([kol,chen],ignore_index=True)\n",
    "df\n",
    "# Now see index column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### If you want to join dataframes with dataframe name as an index name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "      <th rowspan=\"4\" valign=\"top\">Kolkata</th>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
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       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
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       "      <td>rainy</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Chennai</th>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>hot</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "               date  event  temp  wind-speed\n",
       "Kolkata 0  01-02-12  sunny    14          12\n",
       "        1  03-02-12   cold    16          10\n",
       "        2  04-02-12   cold    15           9\n",
       "        3  05-02-12  rainy    10          14\n",
       "Chennai 0  01-02-12    hot    20          33\n",
       "        1  03-02-12  sunny    21          23\n",
       "        2  04-02-12  rainy    15          45\n",
       "        3  05-02-12   cold    18          24"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.concat([kol,chen],keys=['Kolkata','Chennai'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "      <td>03-02-12</td>\n",
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       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
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      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12  sunny    14          12\n",
       "1  03-02-12   cold    16          10\n",
       "2  04-02-12   cold    15           9\n",
       "3  05-02-12  rainy    10          14"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['Kolkata']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>event</th>\n",
       "      <th>temp</th>\n",
       "      <th>wind-speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>hot</td>\n",
       "      <td>20</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date  event  temp  wind-speed\n",
       "0  01-02-12    hot    20          33\n",
       "1  03-02-12  sunny    21          23\n",
       "2  04-02-12  rainy    15          45\n",
       "3  05-02-12   cold    18          24"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['Chennai']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2) Append by column :\n",
    "    if you have two dataframes and you want to append column wise. For example - if you have two dataframes of weather\n",
    "    first dataframe having columns date,event & temp and second dataframe having columns date,event & wind-speed when you\n",
    "    join both you will get one dataframe having columns date, event, temp, date, event and wind-speed.\n",
    "    To join two dataframe column wise\n",
    "    you have to pass axis=1 in concat() method.\n",
    "    \n",
    "   <code> df=pd.concat([dataframe_1,dataframe_2,...,dataframe_n],axis=1) </code>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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",
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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>date</th>\n",
       "      <th>event</th>\n",
       "      <th>temp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date  event  temp\n",
       "0  01-02-12  sunny    14\n",
       "1  03-02-12   cold    16\n",
       "2  04-02-12   cold    15\n",
       "3  05-02-12  rainy    10"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp1={\n",
    "      \"date\":['01-02-12','03-02-12','04-02-12','05-02-12'],\n",
    "      \"event\":['sunny','cold','cold','rainy'],\n",
    "      \"temp\":[14,16,15,10]\n",
    "}\n",
    "temp=pd.DataFrame(temp1)\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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",
       "        vertical-align: top;\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>date</th>\n",
       "      <th>event</th>\n",
       "      <th>wind-speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date  event  wind-speed\n",
       "0  01-02-12  sunny          12\n",
       "1  03-02-12   cold          10\n",
       "2  04-02-12   cold           9\n",
       "3  05-02-12  rainy          14"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ws={\n",
    "      \"date\":['01-02-12','03-02-12','04-02-12','05-02-12'],\n",
    "      \"event\":['sunny','cold','cold','rainy'],\n",
    "      \"wind-speed\":[12,10,9,14],\n",
    "}\n",
    "wind_speed=pd.DataFrame(ws)\n",
    "wind_speed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>event</th>\n",
       "      <th>temp</th>\n",
       "      <th>date</th>\n",
       "      <th>event</th>\n",
       "      <th>wind-speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>14</td>\n",
       "      <td>01-02-12</td>\n",
       "      <td>sunny</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>16</td>\n",
       "      <td>03-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>15</td>\n",
       "      <td>04-02-12</td>\n",
       "      <td>cold</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>10</td>\n",
       "      <td>05-02-12</td>\n",
       "      <td>rainy</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date  event  temp      date  event  wind-speed\n",
       "0  01-02-12  sunny    14  01-02-12  sunny          12\n",
       "1  03-02-12   cold    16  03-02-12   cold          10\n",
       "2  04-02-12   cold    15  04-02-12   cold           9\n",
       "3  05-02-12  rainy    10  05-02-12  rainy          14"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.concat([temp,wind_speed],axis=1)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
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