DataFrame_Basics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\DIKSHA DESWAL\\\\Desktop\\\\Pandas'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir('C:/Users/DIKSHA DESWAL/Documents')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\DIKSHA DESWAL\\\\Documents'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df=pd.read_csv(\"weather_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          day  temperature  windspeed  event\n",
      "0  01-01-2021           32          6   rain\n",
      "1  02-01-2021           35          7  sunny\n",
      "2  03-01-2021           28          2   snow\n",
      "3  04-01-2021           24          7   snow\n",
      "4  05-01-2021           32          4   rain\n",
      "5  06-01-2021           32          2  sunny\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather_data={'day':['01-01-2021','02-01-2021','03-01-2021','04-01-2021','05-01-2021','06-01-2021'],'Temperature':[32,35,28,24,32,32],'windspeed':[6,7,2,7,4,2],'event':['rain','sunny','snow','snow','rain','sunny']}\n",
    "df=pd.DataFrame(weather_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          day  Temperature  windspeed  event\n",
      "0  01-01-2021           32          6   rain\n",
      "1  02-01-2021           35          7  sunny\n",
      "2  03-01-2021           28          2   snow\n",
      "3  04-01-2021           24          7   snow\n",
      "4  05-01-2021           32          4   rain\n",
      "5  06-01-2021           32          2  sunny\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6, 4)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n",
    "#6 rows and 4 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the shape method returns a tuple and we can the assign the values to the tuple as rows and colums\n",
    "rows,columns=df.shape\n",
    "rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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",
       "    .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>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03-01-2021</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04-01-2021</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "0  01-01-2021           32          6   rain\n",
       "1  02-01-2021           35          7  sunny\n",
       "2  03-01-2021           28          2   snow\n",
       "3  04-01-2021           24          7   snow\n",
       "4  05-01-2021           32          4   rain"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to print the first few rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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",
       "    .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>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "0  01-01-2021           32          6   rain\n",
       "1  02-01-2021           35          7  sunny"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03-01-2021</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04-01-2021</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "1  02-01-2021           35          7  sunny\n",
       "2  03-01-2021           28          2   snow\n",
       "3  04-01-2021           24          7   snow\n",
       "4  05-01-2021           32          4   rain\n",
       "5  06-01-2021           32          2  sunny"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to access last few rows from the dataframe/table\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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",
       "        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>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "5  06-01-2021           32          2  sunny"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          day  Temperature  windspeed event\n",
      "2  03-01-2021           28          2  snow\n",
      "3  04-01-2021           24          7  snow\n",
      "4  05-01-2021           32          4  rain\n"
     ]
    }
   ],
   "source": [
    "#using slicing method to access rows from the dataframe\n",
    "print(df[2:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          day  Temperature  windspeed  event\n",
      "0  01-01-2021           32          6   rain\n",
      "1  02-01-2021           35          7  sunny\n",
      "2  03-01-2021           28          2   snow\n",
      "3  04-01-2021           24          7   snow\n",
      "4  05-01-2021           32          4   rain\n",
      "5  06-01-2021           32          2  sunny\n"
     ]
    }
   ],
   "source": [
    "print(df[:]) #from first to the last row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['day', 'Temperature', 'windspeed', 'event'], dtype='object')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns #to call the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    01-01-2021\n",
       "1    02-01-2021\n",
       "2    03-01-2021\n",
       "3    04-01-2021\n",
       "4    05-01-2021\n",
       "5    06-01-2021\n",
       "Name: day, dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.day #to print the individual colum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     rain\n",
       "1    sunny\n",
       "2     snow\n",
       "3     snow\n",
       "4     rain\n",
       "5    sunny\n",
       "Name: event, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['event']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['event']) #colums are of type pandas series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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",
       "        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>event</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rain</td>\n",
       "      <td>01-01-2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sunny</td>\n",
       "      <td>02-01-2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>snow</td>\n",
       "      <td>03-01-2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>snow</td>\n",
       "      <td>04-01-2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rain</td>\n",
       "      <td>05-01-2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sunny</td>\n",
       "      <td>06-01-2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   event         day\n",
       "0   rain  01-01-2021\n",
       "1  sunny  02-01-2021\n",
       "2   snow  03-01-2021\n",
       "3   snow  04-01-2021\n",
       "4   rain  05-01-2021\n",
       "5  sunny  06-01-2021"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to print only the rquired colums\n",
    "df[['event','day']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#operations with dataframes\n",
    "#to find the maximum temperature foe example\n",
    "df\n",
    "df[\"Temperature\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.5"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Temperature\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Temperature\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.8858718455450894"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Temperature\"].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>30.500000</td>\n",
       "      <td>4.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.885872</td>\n",
       "      <td>2.338090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>6.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>35.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Temperature  windspeed\n",
       "count     6.000000   6.000000\n",
       "mean     30.500000   4.666667\n",
       "std       3.885872   2.338090\n",
       "min      24.000000   2.000000\n",
       "25%      29.000000   2.500000\n",
       "50%      32.000000   5.000000\n",
       "75%      32.000000   6.750000\n",
       "max      35.000000   7.000000"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "0  01-01-2021           32          6   rain\n",
       "1  02-01-2021           35          7  sunny\n",
       "4  05-01-2021           32          4   rain\n",
       "5  06-01-2021           32          2  sunny"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Temperature>=32]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature  windspeed  event\n",
       "1  02-01-2021           35          7  sunny"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Temperature==df[\"Temperature\"].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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",
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       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>Temperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02-01-2021</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  Temperature\n",
       "1  02-01-2021           35"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['day','Temperature']][df.Temperature==df.Temperature.max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=6, step=1)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.set_index(\"day\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01-01-2021</th>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02-01-2021</th>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03-01-2021</th>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04-01-2021</th>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05-01-2021</th>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06-01-2021</th>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Temperature  windspeed  event\n",
       "day                                      \n",
       "01-01-2021           32          6   rain\n",
       "02-01-2021           35          7  sunny\n",
       "03-01-2021           28          2   snow\n",
       "04-01-2021           24          7   snow\n",
       "05-01-2021           32          4   rain\n",
       "06-01-2021           32          2  sunny"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Temperature      32\n",
       "windspeed         6\n",
       "event          rain\n",
       "Name: 01-01-2021, dtype: object"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['01-01-2021']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
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       "      <td>32</td>\n",
       "      <td>6</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
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       "      <td>35</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>snow</td>\n",
       "      <td>3</td>\n",
       "      <td>04-01-2021</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "      <td>4</td>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>sunny</td>\n",
       "      <td>5</td>\n",
       "      <td>06-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   level_0  event  index         day  Temperature  windspeed\n",
       "0        0   rain      0  01-01-2021           32          6\n",
       "1        1  sunny      1  02-01-2021           35          7\n",
       "2        2   snow      2  03-01-2021           28          2\n",
       "3        3   snow      3  04-01-2021           24          7\n",
       "4        4   rain      4  05-01-2021           32          4\n",
       "5        5  sunny      5  06-01-2021           32          2"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.reset_index(inplace=True)\n",
    "df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6 entries, 0 to 5\n",
      "Data columns (total 6 columns):\n",
      " #   Column       Non-Null Count  Dtype \n",
      "---  ------       --------------  ----- \n",
      " 0   level_0      6 non-null      int64 \n",
      " 1   event        6 non-null      object\n",
      " 2   index        6 non-null      int64 \n",
      " 3   day          6 non-null      object\n",
      " 4   Temperature  6 non-null      int64 \n",
      " 5   windspeed    6 non-null      int64 \n",
      "dtypes: int64(4), object(2)\n",
      "memory usage: 416.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   level_0 weather  index         day  Temperature  windspeed\n",
      "0        0    rain      0  01-01-2021           32          6\n",
      "1        1   sunny      1  02-01-2021           35          7\n",
      "2        2    snow      2  03-01-2021           28          2\n",
      "3        3    snow      3  04-01-2021           24          7\n",
      "4        4    rain      4  05-01-2021           32          4\n",
      "5        5   sunny      5  06-01-2021           32          2\n"
     ]
    }
   ],
   "source": [
    "txt_df=df.rename(columns={\"event\":\"weather\"})\n",
    "print(txt_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   level_0  event  index         day  Temperature  windspeed  t_mean\n",
      "0        0   rain      0  01-01-2021           32          6     192\n",
      "1        1  sunny      1  02-01-2021           35          7     245\n",
      "2        2   snow      2  03-01-2021           28          2      56\n",
      "3        3   snow      3  04-01-2021           24          7     168\n",
      "4        4   rain      4  05-01-2021           32          4     128\n",
      "5        5  sunny      5  06-01-2021           32          2      64\n"
     ]
    }
   ],
   "source": [
    "#introducing a new column\n",
    "df[\"t_mean\"]=df[\"Temperature\"]*df[\"windspeed\"]\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sunny    2\n",
       "snow     2\n",
       "rain     2\n",
       "Name: event, dtype: int64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"event\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>windspeed</th>\n",
       "      <th>t_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "      <td>4</td>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   level_0 event  index         day  Temperature  windspeed  t_mean\n",
       "0        0  rain      0  01-01-2021           32          6     192\n",
       "4        4  rain      4  05-01-2021           32          4     128"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#for filtering the dataframe on the basis of the elemnts of the rows\n",
    "df.query('event==\"rain\" and Temperature==32')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>event</th>\n",
       "      <th>index</th>\n",
       "      <th>day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>t_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "      <td>4</td>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   level_0 event  index         day  Temperature  windspeed  t_mean\n",
       "0        0  rain      0  01-01-2021           32          6     192\n",
       "4        4  rain      4  05-01-2021           32          4     128"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['event']==\"rain\")|(df['Temperature']=='32')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>event</th>\n",
       "      <th>index</th>\n",
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       "      <th>windspeed</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>rain</td>\n",
       "      <td>0</td>\n",
       "      <td>01-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>snow</td>\n",
       "      <td>2</td>\n",
       "      <td>03-01-2021</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>snow</td>\n",
       "      <td>3</td>\n",
       "      <td>04-01-2021</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>rain</td>\n",
       "      <td>4</td>\n",
       "      <td>05-01-2021</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>128</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   level_0 event  index         day  Temperature  windspeed  t_mean\n",
       "0        0  rain      0  01-01-2021           32          6     192\n",
       "2        2  snow      2  03-01-2021           28          2      56\n",
       "3        3  snow      3  04-01-2021           24          7     168\n",
       "4        4  rain      4  05-01-2021           32          4     128"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=[\"rain\",\"snow\"]\n",
    "df[df.event.isin(x)]"
   ]
  }
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