slide5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "73f8004f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7865fade",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(r'C:\\Users\\varun\\PycharmProjects\\ssc_presentation\\car_data2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a8171aca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alfa-romero 0    13495\n",
      "1    16500\n",
      "2    16500\n",
      "Name: price, dtype: int64\n",
      "audi 3    13950\n",
      "4    17450\n",
      "5    15250\n",
      "6    17710\n",
      "7    18920\n",
      "8    23875\n",
      "9    16430\n",
      "Name: price, dtype: int64\n",
      "bmw 10    16430\n",
      "11    16925\n",
      "12    20970\n",
      "13    21105\n",
      "14    24565\n",
      "15    30760\n",
      "16    41315\n",
      "17    36880\n",
      "Name: price, dtype: int64\n",
      "chevrolet 18    5151\n",
      "19    6295\n",
      "20    6575\n",
      "Name: price, dtype: int64\n",
      "dodge 21     5572\n",
      "22     6377\n",
      "23     7957\n",
      "24     6229\n",
      "25     6692\n",
      "26     7609\n",
      "27     8558\n",
      "28     8921\n",
      "29    12964\n",
      "Name: price, dtype: int64\n",
      "honda 30     6479\n",
      "31     6855\n",
      "32     5399\n",
      "33     6529\n",
      "34     7129\n",
      "35     7295\n",
      "36     7295\n",
      "37     7895\n",
      "38     9095\n",
      "39     8845\n",
      "40    10295\n",
      "41    12945\n",
      "42    10345\n",
      "Name: price, dtype: int64\n",
      "isuzu 43     6785\n",
      "44    11048\n",
      "45    11048\n",
      "46    11048\n",
      "Name: price, dtype: int64\n",
      "jaguar 47    32250\n",
      "48    35550\n",
      "49    36000\n",
      "Name: price, dtype: int64\n",
      "mazda 50     5195\n",
      "51     6095\n",
      "52     6795\n",
      "53     6695\n",
      "54     7395\n",
      "55    10945\n",
      "56    11845\n",
      "57    13645\n",
      "58    15645\n",
      "59     8845\n",
      "60     8495\n",
      "61    10595\n",
      "62    10245\n",
      "63    10795\n",
      "64    11245\n",
      "65    18280\n",
      "66    18344\n",
      "Name: price, dtype: int64\n",
      "mercedes-benz 67    25552\n",
      "68    28248\n",
      "69    28176\n",
      "70    31600\n",
      "71    34184\n",
      "72    35056\n",
      "73    40960\n",
      "74    45400\n",
      "Name: price, dtype: int64\n",
      "mercury 75    16503\n",
      "Name: price, dtype: int64\n",
      "mitsubishi 76     5389\n",
      "77     6189\n",
      "78     6669\n",
      "79     7689\n",
      "80     9959\n",
      "81     8499\n",
      "82    12629\n",
      "83    14869\n",
      "84    14489\n",
      "85     6989\n",
      "86     8189\n",
      "87     9279\n",
      "88     9279\n",
      "Name: price, dtype: int64\n",
      "nissan 89     5499\n",
      "90     7099\n",
      "91     6649\n",
      "92     6849\n",
      "93     7349\n",
      "94     7299\n",
      "95     7799\n",
      "96     7499\n",
      "97     7999\n",
      "98     8249\n",
      "99     8949\n",
      "100    9549\n",
      "Name: price, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "grp_by=df.groupby(by='make',as_index=False)\n",
    "grp_by\n",
    "for i,j in grp_by:\n",
    "    print(i,j.price)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "785c6d8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
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       "        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>make</th>\n",
       "      <th>body_style</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alfa-romero</td>\n",
       "      <td>convertible</td>\n",
       "      <td>14997.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alfa-romero</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>audi</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16430.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>audi</td>\n",
       "      <td>sedan</td>\n",
       "      <td>17647.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>audi</td>\n",
       "      <td>wagon</td>\n",
       "      <td>18920.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bmw</td>\n",
       "      <td>sedan</td>\n",
       "      <td>26118.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chevrolet</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>5723.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chevrolet</td>\n",
       "      <td>sedan</td>\n",
       "      <td>6575.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>dodge</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>7819.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>dodge</td>\n",
       "      <td>sedan</td>\n",
       "      <td>7619.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>dodge</td>\n",
       "      <td>wagon</td>\n",
       "      <td>8921.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>honda</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>7054.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>honda</td>\n",
       "      <td>sedan</td>\n",
       "      <td>9945.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>honda</td>\n",
       "      <td>wagon</td>\n",
       "      <td>7295.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>isuzu</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>11048.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>isuzu</td>\n",
       "      <td>sedan</td>\n",
       "      <td>9627.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>jaguar</td>\n",
       "      <td>sedan</td>\n",
       "      <td>34600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mazda</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>10085.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mazda</td>\n",
       "      <td>sedan</td>\n",
       "      <td>11464.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>convertible</td>\n",
       "      <td>35056.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>hardtop</td>\n",
       "      <td>36788.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>sedan</td>\n",
       "      <td>33074.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>wagon</td>\n",
       "      <td>28248.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>mercury</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16503.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mitsubishi</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>9597.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>mitsubishi</td>\n",
       "      <td>sedan</td>\n",
       "      <td>8434.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>nissan</td>\n",
       "      <td>hardtop</td>\n",
       "      <td>8249.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>nissan</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>8374.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>nissan</td>\n",
       "      <td>sedan</td>\n",
       "      <td>7206.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>nissan</td>\n",
       "      <td>wagon</td>\n",
       "      <td>7674.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             make   body_style         price\n",
       "0     alfa-romero  convertible  14997.500000\n",
       "1     alfa-romero    hatchback  16500.000000\n",
       "2            audi    hatchback  16430.000000\n",
       "3            audi        sedan  17647.000000\n",
       "4            audi        wagon  18920.000000\n",
       "5             bmw        sedan  26118.750000\n",
       "6       chevrolet    hatchback   5723.000000\n",
       "7       chevrolet        sedan   6575.000000\n",
       "8           dodge    hatchback   7819.800000\n",
       "9           dodge        sedan   7619.666667\n",
       "10          dodge        wagon   8921.000000\n",
       "11          honda    hatchback   7054.428571\n",
       "12          honda        sedan   9945.000000\n",
       "13          honda        wagon   7295.000000\n",
       "14          isuzu    hatchback  11048.000000\n",
       "15          isuzu        sedan   9627.000000\n",
       "16         jaguar        sedan  34600.000000\n",
       "17          mazda    hatchback  10085.000000\n",
       "18          mazda        sedan  11464.142857\n",
       "19  mercedes-benz  convertible  35056.000000\n",
       "20  mercedes-benz      hardtop  36788.000000\n",
       "21  mercedes-benz        sedan  33074.000000\n",
       "22  mercedes-benz        wagon  28248.000000\n",
       "23        mercury    hatchback  16503.000000\n",
       "24     mitsubishi    hatchback   9597.888889\n",
       "25     mitsubishi        sedan   8434.000000\n",
       "26         nissan      hardtop   8249.000000\n",
       "27         nissan    hatchback   8374.000000\n",
       "28         nissan        sedan   7206.142857\n",
       "29         nissan        wagon   7674.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grp2=df.groupby(by=['make','body_style'],as_index=False).price.mean()\n",
    "grp2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56e3aa3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "make           body_style \n",
       "alfa-romero    convertible    14997.500000\n",
       "               hatchback      16500.000000\n",
       "audi           hatchback      16430.000000\n",
       "               sedan          17647.000000\n",
       "               wagon          18920.000000\n",
       "bmw            sedan          26118.750000\n",
       "chevrolet      hatchback       5723.000000\n",
       "               sedan           6575.000000\n",
       "dodge          hatchback       7819.800000\n",
       "               sedan           7619.666667\n",
       "               wagon           8921.000000\n",
       "honda          hatchback       7054.428571\n",
       "               sedan           9945.000000\n",
       "               wagon           7295.000000\n",
       "isuzu          hatchback      11048.000000\n",
       "               sedan           9627.000000\n",
       "jaguar         sedan          34600.000000\n",
       "mazda          hatchback      10085.000000\n",
       "               sedan          11464.142857\n",
       "mercedes-benz  convertible    35056.000000\n",
       "               hardtop        36788.000000\n",
       "               sedan          33074.000000\n",
       "               wagon          28248.000000\n",
       "mercury        hatchback      16503.000000\n",
       "mitsubishi     hatchback       9597.888889\n",
       "               sedan           8434.000000\n",
       "nissan         hardtop         8249.000000\n",
       "               hatchback       8374.000000\n",
       "               sedan           7206.142857\n",
       "               wagon           7674.000000\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grp3=df.groupby(by=['make','body_style'],as_index=True).price.mean()\n",
    "grp3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "746da184",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\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>make</th>\n",
       "      <th>body_style</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chevrolet</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>5723.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chevrolet</td>\n",
       "      <td>sedan</td>\n",
       "      <td>6575.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>honda</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>7054.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>nissan</td>\n",
       "      <td>sedan</td>\n",
       "      <td>7206.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>honda</td>\n",
       "      <td>wagon</td>\n",
       "      <td>7295.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>dodge</td>\n",
       "      <td>sedan</td>\n",
       "      <td>7619.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>nissan</td>\n",
       "      <td>wagon</td>\n",
       "      <td>7674.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>dodge</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>7819.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>nissan</td>\n",
       "      <td>hardtop</td>\n",
       "      <td>8249.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>nissan</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>8374.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>mitsubishi</td>\n",
       "      <td>sedan</td>\n",
       "      <td>8434.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>dodge</td>\n",
       "      <td>wagon</td>\n",
       "      <td>8921.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mitsubishi</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>9597.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>isuzu</td>\n",
       "      <td>sedan</td>\n",
       "      <td>9627.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>honda</td>\n",
       "      <td>sedan</td>\n",
       "      <td>9945.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mazda</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>10085.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>isuzu</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>11048.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mazda</td>\n",
       "      <td>sedan</td>\n",
       "      <td>11464.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alfa-romero</td>\n",
       "      <td>convertible</td>\n",
       "      <td>14997.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>audi</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16430.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alfa-romero</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>mercury</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>16503.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>audi</td>\n",
       "      <td>sedan</td>\n",
       "      <td>17647.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>audi</td>\n",
       "      <td>wagon</td>\n",
       "      <td>18920.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bmw</td>\n",
       "      <td>sedan</td>\n",
       "      <td>26118.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>wagon</td>\n",
       "      <td>28248.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>sedan</td>\n",
       "      <td>33074.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>jaguar</td>\n",
       "      <td>sedan</td>\n",
       "      <td>34600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>convertible</td>\n",
       "      <td>35056.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>mercedes-benz</td>\n",
       "      <td>hardtop</td>\n",
       "      <td>36788.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             make   body_style         price\n",
       "6       chevrolet    hatchback   5723.000000\n",
       "7       chevrolet        sedan   6575.000000\n",
       "11          honda    hatchback   7054.428571\n",
       "28         nissan        sedan   7206.142857\n",
       "13          honda        wagon   7295.000000\n",
       "9           dodge        sedan   7619.666667\n",
       "29         nissan        wagon   7674.000000\n",
       "8           dodge    hatchback   7819.800000\n",
       "26         nissan      hardtop   8249.000000\n",
       "27         nissan    hatchback   8374.000000\n",
       "25     mitsubishi        sedan   8434.000000\n",
       "10          dodge        wagon   8921.000000\n",
       "24     mitsubishi    hatchback   9597.888889\n",
       "15          isuzu        sedan   9627.000000\n",
       "12          honda        sedan   9945.000000\n",
       "17          mazda    hatchback  10085.000000\n",
       "14          isuzu    hatchback  11048.000000\n",
       "18          mazda        sedan  11464.142857\n",
       "0     alfa-romero  convertible  14997.500000\n",
       "2            audi    hatchback  16430.000000\n",
       "1     alfa-romero    hatchback  16500.000000\n",
       "23        mercury    hatchback  16503.000000\n",
       "3            audi        sedan  17647.000000\n",
       "4            audi        wagon  18920.000000\n",
       "5             bmw        sedan  26118.750000\n",
       "22  mercedes-benz        wagon  28248.000000\n",
       "21  mercedes-benz        sedan  33074.000000\n",
       "16         jaguar        sedan  34600.000000\n",
       "19  mercedes-benz  convertible  35056.000000\n",
       "20  mercedes-benz      hardtop  36788.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grp4=df.groupby(by=['make','body_style'],as_index=False).price.agg('mean').sort_values(by='price')\n",
    "grp4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5639042",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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