group_by.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "           id     name  cuteness\ntown                            \nbangalore   8    tiger         8\ndelhi       5      tom        10\nmeerut      6  meowses         9\nmumbai     10  meowses         9",
      "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>id</th>\n      <th>name</th>\n      <th>cuteness</th>\n    </tr>\n    <tr>\n      <th>town</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>bangalore</th>\n      <td>8</td>\n      <td>tiger</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>delhi</th>\n      <td>5</td>\n      <td>tom</td>\n      <td>10</td>\n    </tr>\n    <tr>\n      <th>meerut</th>\n      <td>6</td>\n      <td>meowses</td>\n      <td>9</td>\n    </tr>\n    <tr>\n      <th>mumbai</th>\n      <td>10</td>\n      <td>meowses</td>\n      <td>9</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "df.groupby(['town']).max()"
   ]
 }
 ],
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