loc iloc operations on tips data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5376cd0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dc702014",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fecc1011",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "966cfc4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=sns.load_dataset(\"tips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ea98708e",
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3692d61a",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
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       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
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     "execution_count": 8,
     "metadata": {},
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   "source": [
    "df.head()"
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  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5107e4d4",
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
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       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
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       "    <tr>\n",
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       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
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      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ddaa58ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 244 entries, 0 to 243\n",
      "Data columns (total 7 columns):\n",
      " #   Column      Non-Null Count  Dtype   \n",
      "---  ------      --------------  -----   \n",
      " 0   total_bill  244 non-null    float64 \n",
      " 1   tip         244 non-null    float64 \n",
      " 2   sex         244 non-null    category\n",
      " 3   smoker      244 non-null    category\n",
      " 4   day         244 non-null    category\n",
      " 5   time        244 non-null    category\n",
      " 6   size        244 non-null    int64   \n",
      "dtypes: category(4), float64(2), int64(1)\n",
      "memory usage: 7.1 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "21b4f451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(244, 7)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c85ef30f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'], dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "131bbaff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total_bill     float64\n",
       "tip            float64\n",
       "sex           category\n",
       "smoker        category\n",
       "day           category\n",
       "time          category\n",
       "size             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0526ea2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      16.99\n",
       "1      10.34\n",
       "2      21.01\n",
       "3      23.68\n",
       "4      24.59\n",
       "       ...  \n",
       "239    29.03\n",
       "240    27.18\n",
       "241    22.67\n",
       "242    17.82\n",
       "243    18.78\n",
       "Name: total_bill, Length: 244, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column_df=df[\"total_bill\"]\n",
    "column_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1ff499f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      sex    time  day\n",
      "0  Female  Dinner  Sun\n",
      "1    Male  Dinner  Sun\n",
      "2    Male  Dinner  Sun\n",
      "3    Male  Dinner  Sun\n",
      "4  Female  Dinner  Sun\n",
      "        sex    time   day\n",
      "239    Male  Dinner   Sat\n",
      "240  Female  Dinner   Sat\n",
      "241    Male  Dinner   Sat\n",
      "242    Male  Dinner   Sat\n",
      "243  Female  Dinner  Thur\n"
     ]
    }
   ],
   "source": [
    "columns=df[[\"sex\",\"time\",\"day\"]]\n",
    "print(columns.head())\n",
    "print(columns.tail())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fae3ee1",
   "metadata": {},
   "source": [
    "##### loc & iloc "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0ec02455",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total_bill     16.99\n",
       "tip             1.01\n",
       "sex           Female\n",
       "smoker            No\n",
       "day              Sun\n",
       "time          Dinner\n",
       "size               2\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ea206950",
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>25.29</td>\n",
       "      <td>4.71</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>12.46</td>\n",
       "      <td>1.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Fri</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    total_bill   tip   sex smoker  day    time  size\n",
       "1        10.34  1.66  Male     No  Sun  Dinner     3\n",
       "2        21.01  3.50  Male     No  Sun  Dinner     3\n",
       "5        25.29  4.71  Male     No  Sun  Dinner     4\n",
       "99       12.46  1.50  Male     No  Fri  Dinner     2"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[[1,2,5,99]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4893734b",
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   "outputs": [
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       "      <th>6</th>\n",
       "      <td>8.77</td>\n",
       "      <td>Male</td>\n",
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       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
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       "      <th>9</th>\n",
       "      <td>14.78</td>\n",
       "      <td>Male</td>\n",
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       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>12.46</td>\n",
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      ],
      "text/plain": [
       "    total_bill   sex\n",
       "2        21.01  Male\n",
       "6         8.77  Male\n",
       "3        23.68  Male\n",
       "9        14.78  Male\n",
       "99       12.46  Male"
      ]
     },
     "execution_count": 37,
     "metadata": {},
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    }
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    "df.loc[[2,6,3,9,99],[\"total_bill\",\"sex\"]]"
   ]
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   "execution_count": 43,
   "id": "c26686a2",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      1.01\n",
       "1      1.66\n",
       "2      3.50\n",
       "3      3.31\n",
       "4      3.61\n",
       "       ... \n",
       "239    5.92\n",
       "240    2.00\n",
       "241    2.00\n",
       "242    1.75\n",
       "243    3.00\n",
       "Name: tip, Length: 244, dtype: float64"
      ]
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     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df[\"tip\"]"
   ]
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   "cell_type": "code",
   "execution_count": 50,
   "id": "86f1d51a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.5"
      ]
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     "execution_count": 50,
     "metadata": {},
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   ]
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   "outputs": [
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       "   day   tip\n",
       "1  Sun  1.66\n",
       "2  Sun  3.50\n",
       "3  Sun  3.31\n",
       "4  Sun  3.61\n",
       "5  Sun  4.71"
      ]
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       "      <td>3.12</td>\n",
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       "      <td>3.23</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Male</td>\n",
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      "text/plain": [
       "       sex  day   tip\n",
       "1     Male  Sun  1.66\n",
       "2     Male  Sun  3.50\n",
       "3     Male  Sun  3.31\n",
       "4   Female  Sun  3.61\n",
       "5     Male  Sun  4.71\n",
       "6     Male  Sun  2.00\n",
       "7     Male  Sun  3.12\n",
       "8     Male  Sun  1.96\n",
       "9     Male  Sun  3.23\n",
       "10    Male  Sun  1.71"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[1:10,[\"sex\",\"day\",\"tip\"]]"
   ]
  },
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   "execution_count": 54,
   "id": "135988b7",
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   "outputs": [
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       "      <td>Sun</td>\n",
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      "text/plain": [
       "    tip     sex smoker  day    time  size\n",
       "1  1.66    Male     No  Sun  Dinner     3\n",
       "2  3.50    Male     No  Sun  Dinner     3\n",
       "3  3.31    Male     No  Sun  Dinner     2\n",
       "4  3.61  Female     No  Sun  Dinner     4\n",
       "5  4.71    Male     No  Sun  Dinner     4\n",
       "6  2.00    Male     No  Sun  Dinner     2"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
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   ],
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    "df.loc[1:6,\"tip\":\"size\"]"
   ]
  },
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   "cell_type": "code",
   "execution_count": 55,
   "id": "8ca5fcff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total_bill     17.82\n",
       "tip             1.75\n",
       "sex             Male\n",
       "smoker            No\n",
       "day              Sat\n",
       "time          Dinner\n",
       "size               2\n",
       "Name: 242, dtype: object"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
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    "df.iloc[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "e6d8f26b",
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   "outputs": [
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      "text/plain": [
       "    tip     sex smoker  day\n",
       "1  1.66    Male     No  Sun\n",
       "2  3.50    Male     No  Sun\n",
       "3  3.31    Male     No  Sun\n",
       "4  3.61  Female     No  Sun"
      ]
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   "id": "d3cd6c9a",
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   "outputs": [
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      "text/plain": [
       "     tip    time\n",
       "1   1.66  Dinner\n",
       "3   3.31  Dinner\n",
       "5   4.71  Dinner\n",
       "7   3.12  Dinner\n",
       "9   3.23  Dinner\n",
       "11  5.00  Dinner\n",
       "13  3.00  Dinner"
      ]
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    "df.iloc[[1,3,5,7,9,11,13],[1,5]]"
   ]
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   "cell_type": "code",
   "execution_count": 63,
   "id": "79def1d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day     Sun\n",
       "tip    1.66\n",
       "Name: 1, dtype: object"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[1,[\"day\",\"tip\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "b896047d",
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   "outputs": [
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       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.71</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.12</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.96</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3.23</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.71</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     tip     sex smoker  day\n",
       "1   1.66    Male     No  Sun\n",
       "2   3.50    Male     No  Sun\n",
       "3   3.31    Male     No  Sun\n",
       "4   3.61  Female     No  Sun\n",
       "5   4.71    Male     No  Sun\n",
       "6   2.00    Male     No  Sun\n",
       "7   3.12    Male     No  Sun\n",
       "8   1.96    Male     No  Sun\n",
       "9   3.23    Male     No  Sun\n",
       "10  1.71    Male     No  Sun"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[1:11,1:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e6716fe4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   total_bill   tip     sex smoker  day    time  size\n",
      "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
      "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
      "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
      "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
      "4       24.59  3.61  Female     No  Sun  Dinner     4\n"
     ]
    }
   ],
   "source": [
    "r=list(range(5))\n",
    "print(df.iloc[r,:])\n",
    "#print(df.iloc[r,r])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "97dffe05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[::]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "cef09373",
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "b5391e10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Sun'"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[5,\"day\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "42d8fe83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Dinner'"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[7,5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "888bd761",
   "metadata": {},
   "source": [
    "#### groupby()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "4812ea3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
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       "      <th>time</th>\n",
       "      <th>size</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
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       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
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       "    <tr>\n",
       "      <th>240</th>\n",
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       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "2221905a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\SRAM21\\AppData\\Local\\Temp/ipykernel_7412/1749234847.py:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  df.groupby([\"sex\",\"time\",\"day\"])[\"total_bill\",\"tip\"].mean().head(10)\n"
     ]
    },
    {
     "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></th>\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th>time</th>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Male</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">Lunch</th>\n",
       "      <th>Thur</th>\n",
       "      <td>18.714667</td>\n",
       "      <td>2.980333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>11.386667</td>\n",
       "      <td>1.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Dinner</th>\n",
       "      <th>Thur</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>23.487143</td>\n",
       "      <td>3.032857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>20.802542</td>\n",
       "      <td>3.083898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>21.887241</td>\n",
       "      <td>3.220345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Female</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Lunch</th>\n",
       "      <th>Thur</th>\n",
       "      <td>16.648710</td>\n",
       "      <td>2.561935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>13.940000</td>\n",
       "      <td>2.745000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    total_bill       tip\n",
       "sex    time   day                       \n",
       "Male   Lunch  Thur   18.714667  2.980333\n",
       "              Fri    11.386667  1.900000\n",
       "              Sat          NaN       NaN\n",
       "              Sun          NaN       NaN\n",
       "       Dinner Thur         NaN       NaN\n",
       "              Fri    23.487143  3.032857\n",
       "              Sat    20.802542  3.083898\n",
       "              Sun    21.887241  3.220345\n",
       "Female Lunch  Thur   16.648710  2.561935\n",
       "              Fri    13.940000  2.745000"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby([\"sex\",\"time\",\"day\"])[\"total_bill\",\"tip\"].mean().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "5400e8d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(244, 7)"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"tip\"]<20].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "02afc2ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex\n",
       "Male      20.744076\n",
       "Female    18.056897\n",
       "Name: total_bill, dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"sex\")[\"total_bill\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "1212a16b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='size'>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t=df.groupby(\"size\")[\"tip\"].mean()\n",
    "t\n",
    "t.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50eb653c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}