Project 01- Data Analysis of Weather.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c9acbdd3",
   "metadata": {},
   "source": [
    "# Project-01 Data Analysis of Weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b85735bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03a68cd5",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2        1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3        1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa               Weather  \n",
       "0               8.0     101.24                   Fog  \n",
       "1               8.0     101.24                   Fog  \n",
       "2               4.0     101.26  Freezing Drizzle,Fog  \n",
       "3               4.0     101.27  Freezing Drizzle,Fog  \n",
       "4               4.8     101.23                   Fog  \n",
       "...             ...        ...                   ...  \n",
       "8779            9.7     100.13                  Snow  \n",
       "8780            9.7     100.03                  Snow  \n",
       "8781            4.8      99.95                  Snow  \n",
       "8782            9.7      99.91                  Snow  \n",
       "8783           11.3      99.89                  Snow  \n",
       "\n",
       "[8784 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\Aayush\\Documents\\Python Learning\\Data-set\\1. Weather Data.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f7d8a353",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8784 entries, 0 to 8783\n",
      "Data columns (total 8 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Date/Time         8784 non-null   object \n",
      " 1   Temp_C            8784 non-null   float64\n",
      " 2   Dew Point Temp_C  8784 non-null   float64\n",
      " 3   Rel Hum_%         8784 non-null   int64  \n",
      " 4   Wind Speed_km/h   8784 non-null   int64  \n",
      " 5   Visibility_km     8784 non-null   float64\n",
      " 6   Press_kPa         8784 non-null   float64\n",
      " 7   Weather           8784 non-null   object \n",
      "dtypes: float64(4), int64(2), object(2)\n",
      "memory usage: 549.1+ KB\n"
     ]
    }
   ],
   "source": [
    "# information of columns\n",
    "# This shows that this table has 8784 entries(rows), 8 columns, float-4, int-4 and object/string-2\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "14d9ac55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date/Time', 'Temp_C', 'Dew Point Temp_C', 'Rel Hum_%',\n",
       "       'Wind Speed_km/h', 'Visibility_km', 'Press_kPa', 'Weather'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# columns of table, it shows 8 columns present in table\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c2547931",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time            object\n",
       "Temp_C              float64\n",
       "Dew Point Temp_C    float64\n",
       "Rel Hum_%             int64\n",
       "Wind Speed_km/h       int64\n",
       "Visibility_km       float64\n",
       "Press_kPa           float64\n",
       "Weather              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data types of each column\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "122c1fb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8784, 8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n",
    "# it has 8784 rows and 8 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5e5dec49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=8784, step=1)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5a1aa7d3",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
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       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0  1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1  1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2  1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3  1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4  1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "\n",
       "   Visibility_km  Press_kPa               Weather  \n",
       "0            8.0     101.24                   Fog  \n",
       "1            8.0     101.24                   Fog  \n",
       "2            4.0     101.26  Freezing Drizzle,Fog  \n",
       "3            4.0     101.27  Freezing Drizzle,Fog  \n",
       "4            4.8     101.23                   Fog  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# first 5 rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c8f3eca8",
   "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>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa Weather  \n",
       "8779            9.7     100.13    Snow  \n",
       "8780            9.7     100.03    Snow  \n",
       "8781            4.8      99.95    Snow  \n",
       "8782            9.7      99.91    Snow  \n",
       "8783           11.3      99.89    Snow  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# last 5 rows\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "287f4985",
   "metadata": {},
   "source": [
    "## checking uniques values present in weather columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a7c7015e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           8784\n",
       "Temp_C               533\n",
       "Dew Point Temp_C     489\n",
       "Rel Hum_%             83\n",
       "Wind Speed_km/h       34\n",
       "Visibility_km         24\n",
       "Press_kPa            518\n",
       "Weather               50\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()\n",
    "# it shows that Data/Time has 8784 values, Temp_c has 533 and so on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5816aa3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Fog', 'Freezing Drizzle,Fog', 'Mostly Cloudy', 'Cloudy', 'Rain',\n",
       "       'Rain Showers', 'Mainly Clear', 'Snow Showers', 'Snow', 'Clear',\n",
       "       'Freezing Rain,Fog', 'Freezing Rain', 'Freezing Drizzle',\n",
       "       'Rain,Snow', 'Moderate Snow', 'Freezing Drizzle,Snow',\n",
       "       'Freezing Rain,Snow Grains', 'Snow,Blowing Snow', 'Freezing Fog',\n",
       "       'Haze', 'Rain,Fog', 'Drizzle,Fog', 'Drizzle',\n",
       "       'Freezing Drizzle,Haze', 'Freezing Rain,Haze', 'Snow,Haze',\n",
       "       'Snow,Fog', 'Snow,Ice Pellets', 'Rain,Haze', 'Thunderstorms,Rain',\n",
       "       'Thunderstorms,Rain Showers', 'Thunderstorms,Heavy Rain Showers',\n",
       "       'Thunderstorms,Rain Showers,Fog', 'Thunderstorms',\n",
       "       'Thunderstorms,Rain,Fog',\n",
       "       'Thunderstorms,Moderate Rain Showers,Fog', 'Rain Showers,Fog',\n",
       "       'Rain Showers,Snow Showers', 'Snow Pellets', 'Rain,Snow,Fog',\n",
       "       'Moderate Rain,Fog', 'Freezing Rain,Ice Pellets,Fog',\n",
       "       'Drizzle,Ice Pellets,Fog', 'Drizzle,Snow', 'Rain,Ice Pellets',\n",
       "       'Drizzle,Snow,Fog', 'Rain,Snow Grains', 'Rain,Snow,Ice Pellets',\n",
       "       'Snow Showers,Fog', 'Moderate Snow,Blowing Snow'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Weather'].unique()\n",
    "# it shows all unique weathers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0b84913b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Weather'].nunique()\n",
    "# it has 50 unique weather values from 8K entries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3eebe84e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Weather\n",
       "Mainly Clear                               2106\n",
       "Mostly Cloudy                              2069\n",
       "Cloudy                                     1728\n",
       "Clear                                      1326\n",
       "Snow                                        390\n",
       "Rain                                        306\n",
       "Rain Showers                                188\n",
       "Fog                                         150\n",
       "Rain,Fog                                    116\n",
       "Drizzle,Fog                                  80\n",
       "Snow Showers                                 60\n",
       "Drizzle                                      41\n",
       "Snow,Fog                                     37\n",
       "Snow,Blowing Snow                            19\n",
       "Rain,Snow                                    18\n",
       "Thunderstorms,Rain Showers                   16\n",
       "Haze                                         16\n",
       "Drizzle,Snow,Fog                             15\n",
       "Freezing Rain                                14\n",
       "Freezing Drizzle,Snow                        11\n",
       "Freezing Drizzle                              7\n",
       "Snow,Ice Pellets                              6\n",
       "Freezing Drizzle,Fog                          6\n",
       "Snow,Haze                                     5\n",
       "Freezing Fog                                  4\n",
       "Snow Showers,Fog                              4\n",
       "Moderate Snow                                 4\n",
       "Rain,Snow,Ice Pellets                         4\n",
       "Freezing Rain,Fog                             4\n",
       "Freezing Drizzle,Haze                         3\n",
       "Rain,Haze                                     3\n",
       "Thunderstorms,Rain                            3\n",
       "Thunderstorms,Rain Showers,Fog                3\n",
       "Freezing Rain,Haze                            2\n",
       "Drizzle,Snow                                  2\n",
       "Rain Showers,Snow Showers                     2\n",
       "Thunderstorms                                 2\n",
       "Moderate Snow,Blowing Snow                    2\n",
       "Rain Showers,Fog                              1\n",
       "Thunderstorms,Moderate Rain Showers,Fog       1\n",
       "Snow Pellets                                  1\n",
       "Rain,Snow,Fog                                 1\n",
       "Moderate Rain,Fog                             1\n",
       "Freezing Rain,Ice Pellets,Fog                 1\n",
       "Drizzle,Ice Pellets,Fog                       1\n",
       "Thunderstorms,Rain,Fog                        1\n",
       "Rain,Ice Pellets                              1\n",
       "Rain,Snow Grains                              1\n",
       "Thunderstorms,Heavy Rain Showers              1\n",
       "Freezing Rain,Snow Grains                     1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Weather'].value_counts()\n",
    "# from 8784 entires, Weather is clear in 2106 entires/days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a7d696c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           8784\n",
       "Temp_C              8784\n",
       "Dew Point Temp_C    8784\n",
       "Rel Hum_%           8784\n",
       "Wind Speed_km/h     8784\n",
       "Visibility_km       8784\n",
       "Press_kPa           8784\n",
       "Weather             8784\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()\n",
    "# it shows that none of the column has empty cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "60c902cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           0\n",
       "Temp_C              0\n",
       "Dew Point Temp_C    0\n",
       "Rel Hum_%           0\n",
       "Wind Speed_km/h     0\n",
       "Visibility_km       0\n",
       "Press_kPa           0\n",
       "Weather             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()\n",
    "# if there is any null value in any column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d22e60d4",
   "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>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2        1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3        1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa               Weather  \n",
       "0               8.0     101.24                   Fog  \n",
       "1               8.0     101.24                   Fog  \n",
       "2               4.0     101.26  Freezing Drizzle,Fog  \n",
       "3               4.0     101.27  Freezing Drizzle,Fog  \n",
       "4               4.8     101.23                   Fog  \n",
       "...             ...        ...                   ...  \n",
       "8779            9.7     100.13                  Snow  \n",
       "8780            9.7     100.03                  Snow  \n",
       "8781            4.8      99.95                  Snow  \n",
       "8782            9.7      99.91                  Snow  \n",
       "8783           11.3      99.89                  Snow  \n",
       "\n",
       "[8784 rows x 8 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1a532f11",
   "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>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.798144</td>\n",
       "      <td>2.555294</td>\n",
       "      <td>67.431694</td>\n",
       "      <td>14.945469</td>\n",
       "      <td>27.664447</td>\n",
       "      <td>101.051623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.687883</td>\n",
       "      <td>10.883072</td>\n",
       "      <td>16.918881</td>\n",
       "      <td>8.688696</td>\n",
       "      <td>12.622688</td>\n",
       "      <td>0.844005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-23.300000</td>\n",
       "      <td>-28.500000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>97.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>-5.900000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>24.100000</td>\n",
       "      <td>100.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.300000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>101.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.800000</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>101.590000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>24.400000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>48.300000</td>\n",
       "      <td>103.650000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Temp_C  Dew Point Temp_C    Rel Hum_%  Wind Speed_km/h  \\\n",
       "count  8784.000000       8784.000000  8784.000000      8784.000000   \n",
       "mean      8.798144          2.555294    67.431694        14.945469   \n",
       "std      11.687883         10.883072    16.918881         8.688696   \n",
       "min     -23.300000        -28.500000    18.000000         0.000000   \n",
       "25%       0.100000         -5.900000    56.000000         9.000000   \n",
       "50%       9.300000          3.300000    68.000000        13.000000   \n",
       "75%      18.800000         11.800000    81.000000        20.000000   \n",
       "max      33.000000         24.400000   100.000000        83.000000   \n",
       "\n",
       "       Visibility_km    Press_kPa  \n",
       "count    8784.000000  8784.000000  \n",
       "mean       27.664447   101.051623  \n",
       "std        12.622688     0.844005  \n",
       "min         0.200000    97.520000  \n",
       "25%        24.100000   100.560000  \n",
       "50%        25.000000   101.070000  \n",
       "75%        25.000000   101.590000  \n",
       "max        48.300000   103.650000  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2455f3fc",
   "metadata": {},
   "source": [
    "## Let's solve some question\n",
    "## 1. Find all the unique 'Wind Speed' values from the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e08ba752",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 4,  7,  6,  9, 15, 13, 20, 22, 19, 24, 30, 35, 39, 32, 33, 26, 44,\n",
       "       43, 48, 37, 28, 17, 11,  0, 83, 70, 57, 46, 41, 52, 50, 63, 54,  2],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Wind Speed_km/h'].unique()\n",
    "# it shows all of the unique values from Wind speed columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "68e7ecab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Wind Speed_km/h'].nunique()\n",
    "# There are 34 unique values in wind speec column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "99d489f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Wind Speed_km/h\n",
       "9     830\n",
       "11    791\n",
       "13    735\n",
       "15    719\n",
       "7     677\n",
       "17    666\n",
       "19    616\n",
       "6     609\n",
       "20    496\n",
       "4     474\n",
       "22    439\n",
       "24    374\n",
       "0     309\n",
       "26    242\n",
       "28    205\n",
       "30    161\n",
       "32    139\n",
       "33     85\n",
       "35     53\n",
       "37     45\n",
       "39     24\n",
       "41     22\n",
       "44     14\n",
       "43     13\n",
       "48     13\n",
       "46     11\n",
       "52      7\n",
       "57      5\n",
       "50      4\n",
       "2       2\n",
       "83      1\n",
       "70      1\n",
       "63      1\n",
       "54      1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Wind Speed_km/h'].value_counts()\n",
    "# 830 times, the wind speed is 9 km/h"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb598d3b",
   "metadata": {},
   "source": [
    "## 2. Find the numbers of times when the weather is exactly clear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "64408dac",
   "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>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1/3/2012 19:00</td>\n",
       "      <td>-16.9</td>\n",
       "      <td>-24.8</td>\n",
       "      <td>50</td>\n",
       "      <td>24</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.74</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>1/5/2012 18:00</td>\n",
       "      <td>-7.1</td>\n",
       "      <td>-14.4</td>\n",
       "      <td>56</td>\n",
       "      <td>11</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.71</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>1/5/2012 19:00</td>\n",
       "      <td>-9.2</td>\n",
       "      <td>-15.4</td>\n",
       "      <td>61</td>\n",
       "      <td>7</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.80</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>1/5/2012 20:00</td>\n",
       "      <td>-9.8</td>\n",
       "      <td>-15.7</td>\n",
       "      <td>62</td>\n",
       "      <td>9</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.83</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1/5/2012 21:00</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>63</td>\n",
       "      <td>13</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.83</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8646</th>\n",
       "      <td>12/26/2012 6:00</td>\n",
       "      <td>-13.4</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "      <td>25.0</td>\n",
       "      <td>102.47</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8698</th>\n",
       "      <td>12/28/2012 10:00</td>\n",
       "      <td>-6.1</td>\n",
       "      <td>-8.6</td>\n",
       "      <td>82</td>\n",
       "      <td>19</td>\n",
       "      <td>24.1</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8713</th>\n",
       "      <td>12/29/2012 1:00</td>\n",
       "      <td>-11.9</td>\n",
       "      <td>-13.6</td>\n",
       "      <td>87</td>\n",
       "      <td>11</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.31</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>12/29/2012 2:00</td>\n",
       "      <td>-11.8</td>\n",
       "      <td>-13.1</td>\n",
       "      <td>90</td>\n",
       "      <td>13</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.33</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8756</th>\n",
       "      <td>12/30/2012 20:00</td>\n",
       "      <td>-13.8</td>\n",
       "      <td>-16.5</td>\n",
       "      <td>80</td>\n",
       "      <td>24</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.52</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1326 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "67      1/3/2012 19:00   -16.9             -24.8         50               24   \n",
       "114     1/5/2012 18:00    -7.1             -14.4         56               11   \n",
       "115     1/5/2012 19:00    -9.2             -15.4         61                7   \n",
       "116     1/5/2012 20:00    -9.8             -15.7         62                9   \n",
       "117     1/5/2012 21:00    -9.0             -14.8         63               13   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8646   12/26/2012 6:00   -13.4             -14.8         89                4   \n",
       "8698  12/28/2012 10:00    -6.1              -8.6         82               19   \n",
       "8713   12/29/2012 1:00   -11.9             -13.6         87               11   \n",
       "8714   12/29/2012 2:00   -11.8             -13.1         90               13   \n",
       "8756  12/30/2012 20:00   -13.8             -16.5         80               24   \n",
       "\n",
       "      Visibility_km  Press_kPa Weather  \n",
       "67             25.0     101.74   Clear  \n",
       "114            25.0     100.71   Clear  \n",
       "115            25.0     100.80   Clear  \n",
       "116            25.0     100.83   Clear  \n",
       "117            25.0     100.83   Clear  \n",
       "...             ...        ...     ...  \n",
       "8646           25.0     102.47   Clear  \n",
       "8698           24.1     101.27   Clear  \n",
       "8713           25.0     101.31   Clear  \n",
       "8714           25.0     101.33   Clear  \n",
       "8756           25.0     101.52   Clear  \n",
       "\n",
       "[1326 rows x 8 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Weather']=='Clear']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "98d3b860",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           1326\n",
       "Temp_C              1326\n",
       "Dew Point Temp_C    1326\n",
       "Rel Hum_%           1326\n",
       "Wind Speed_km/h     1326\n",
       "Visibility_km       1326\n",
       "Press_kPa           1326\n",
       "Weather             1326\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Weather']=='Clear'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1299822b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           1326\n",
       "Temp_C               436\n",
       "Dew Point Temp_C     406\n",
       "Rel Hum_%             79\n",
       "Wind Speed_km/h       19\n",
       "Visibility_km          7\n",
       "Press_kPa            296\n",
       "Weather                1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Weather']=='Clear'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1dbfefa",
   "metadata": {},
   "source": [
    "## Find out the number of times when the wind speed was exactly 4 km/h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "876d7f33",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1/5/2012 0:00</td>\n",
       "      <td>-8.8</td>\n",
       "      <td>-11.7</td>\n",
       "      <td>79</td>\n",
       "      <td>4</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.32</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1/5/2012 5:00</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-9.5</td>\n",
       "      <td>82</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.19</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>1/7/2012 2:00</td>\n",
       "      <td>-8.1</td>\n",
       "      <td>-11.1</td>\n",
       "      <td>79</td>\n",
       "      <td>4</td>\n",
       "      <td>19.3</td>\n",
       "      <td>100.15</td>\n",
       "      <td>Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8768</th>\n",
       "      <td>12/31/2012 8:00</td>\n",
       "      <td>-8.6</td>\n",
       "      <td>-10.3</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>101.14</td>\n",
       "      <td>Snow Showers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8769</th>\n",
       "      <td>12/31/2012 9:00</td>\n",
       "      <td>-8.1</td>\n",
       "      <td>-9.6</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>101.09</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8770</th>\n",
       "      <td>12/31/2012 10:00</td>\n",
       "      <td>-7.4</td>\n",
       "      <td>-8.9</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.05</td>\n",
       "      <td>Snow,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8772</th>\n",
       "      <td>12/31/2012 12:00</td>\n",
       "      <td>-5.8</td>\n",
       "      <td>-7.5</td>\n",
       "      <td>88</td>\n",
       "      <td>4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>100.78</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8773</th>\n",
       "      <td>12/31/2012 13:00</td>\n",
       "      <td>-4.6</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>100.63</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "96       1/5/2012 0:00    -8.8             -11.7         79                4   \n",
       "101      1/5/2012 5:00    -7.0              -9.5         82                4   \n",
       "146      1/7/2012 2:00    -8.1             -11.1         79                4   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8768   12/31/2012 8:00    -8.6             -10.3         87                4   \n",
       "8769   12/31/2012 9:00    -8.1              -9.6         89                4   \n",
       "8770  12/31/2012 10:00    -7.4              -8.9         89                4   \n",
       "8772  12/31/2012 12:00    -5.8              -7.5         88                4   \n",
       "8773  12/31/2012 13:00    -4.6              -6.6         86                4   \n",
       "\n",
       "      Visibility_km  Press_kPa       Weather  \n",
       "0               8.0     101.24           Fog  \n",
       "1               8.0     101.24           Fog  \n",
       "96              9.7     100.32          Snow  \n",
       "101             4.0     100.19          Snow  \n",
       "146            19.3     100.15        Cloudy  \n",
       "...             ...        ...           ...  \n",
       "8768            3.2     101.14  Snow Showers  \n",
       "8769            2.4     101.09          Snow  \n",
       "8770            6.4     101.05      Snow,Fog  \n",
       "8772           12.9     100.78          Snow  \n",
       "8773           12.9     100.63          Snow  \n",
       "\n",
       "[474 rows x 8 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Wind Speed_km/h']==4]\n",
    "# 474 times, there is wind speed of 4 km/h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ce5e3cc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           474\n",
       "Temp_C              279\n",
       "Dew Point Temp_C    260\n",
       "Rel Hum_%            70\n",
       "Wind Speed_km/h       1\n",
       "Visibility_km        20\n",
       "Press_kPa           244\n",
       "Weather              16\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Wind Speed_km/h']==4].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "fe2ea7f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "    <tr>\n",
       "      <th>96</th>\n",
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       "      <td>-8.8</td>\n",
       "      <td>-11.7</td>\n",
       "      <td>79</td>\n",
       "      <td>4</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.32</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1/5/2012 5:00</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-9.5</td>\n",
       "      <td>82</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.19</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>1/7/2012 2:00</td>\n",
       "      <td>-8.1</td>\n",
       "      <td>-11.1</td>\n",
       "      <td>79</td>\n",
       "      <td>4</td>\n",
       "      <td>19.3</td>\n",
       "      <td>100.15</td>\n",
       "      <td>Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8768</th>\n",
       "      <td>12/31/2012 8:00</td>\n",
       "      <td>-8.6</td>\n",
       "      <td>-10.3</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>101.14</td>\n",
       "      <td>Snow Showers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8769</th>\n",
       "      <td>12/31/2012 9:00</td>\n",
       "      <td>-8.1</td>\n",
       "      <td>-9.6</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>101.09</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8770</th>\n",
       "      <td>12/31/2012 10:00</td>\n",
       "      <td>-7.4</td>\n",
       "      <td>-8.9</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.05</td>\n",
       "      <td>Snow,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8772</th>\n",
       "      <td>12/31/2012 12:00</td>\n",
       "      <td>-5.8</td>\n",
       "      <td>-7.5</td>\n",
       "      <td>88</td>\n",
       "      <td>4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>100.78</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8773</th>\n",
       "      <td>12/31/2012 13:00</td>\n",
       "      <td>-4.6</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>100.63</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "96       1/5/2012 0:00    -8.8             -11.7         79                4   \n",
       "101      1/5/2012 5:00    -7.0              -9.5         82                4   \n",
       "146      1/7/2012 2:00    -8.1             -11.1         79                4   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8768   12/31/2012 8:00    -8.6             -10.3         87                4   \n",
       "8769   12/31/2012 9:00    -8.1              -9.6         89                4   \n",
       "8770  12/31/2012 10:00    -7.4              -8.9         89                4   \n",
       "8772  12/31/2012 12:00    -5.8              -7.5         88                4   \n",
       "8773  12/31/2012 13:00    -4.6              -6.6         86                4   \n",
       "\n",
       "      Visibility_km  Press_kPa       Weather  \n",
       "0               8.0     101.24           Fog  \n",
       "1               8.0     101.24           Fog  \n",
       "96              9.7     100.32          Snow  \n",
       "101             4.0     100.19          Snow  \n",
       "146            19.3     100.15        Cloudy  \n",
       "...             ...        ...           ...  \n",
       "8768            3.2     101.14  Snow Showers  \n",
       "8769            2.4     101.09          Snow  \n",
       "8770            6.4     101.05      Snow,Fog  \n",
       "8772           12.9     100.78          Snow  \n",
       "8773           12.9     100.63          Snow  \n",
       "\n",
       "[474 rows x 8 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Wind Speed_km/h').get_group(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14d4ae8e",
   "metadata": {},
   "source": [
    "## Min, Max, Mean and others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "9a52e7c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2        1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3        1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa               Weather  \n",
       "0               8.0     101.24                   Fog  \n",
       "1               8.0     101.24                   Fog  \n",
       "2               4.0     101.26  Freezing Drizzle,Fog  \n",
       "3               4.0     101.27  Freezing Drizzle,Fog  \n",
       "4               4.8     101.23                   Fog  \n",
       "...             ...        ...                   ...  \n",
       "8779            9.7     100.13                  Snow  \n",
       "8780            9.7     100.03                  Snow  \n",
       "8781            4.8      99.95                  Snow  \n",
       "8782            9.7      99.91                  Snow  \n",
       "8783           11.3      99.89                  Snow  \n",
       "\n",
       "[8784 rows x 8 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "57f3fca6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-23.3"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Minimun Temperature\n",
    "df['Temp_C'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "383305f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33.0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Maximum Temperature\n",
    "df['Temp_C'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8e0d8c3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.798144353369764"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean Temperature\n",
    "df['Temp_C'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ed1b683a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Temp_C</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clear</th>\n",
       "      <td>-23.3</td>\n",
       "      <td>32.8</td>\n",
       "      <td>6.825716</td>\n",
       "      <td>12.132015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloudy</th>\n",
       "      <td>-21.4</td>\n",
       "      <td>30.5</td>\n",
       "      <td>7.970544</td>\n",
       "      <td>11.000283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle</th>\n",
       "      <td>1.1</td>\n",
       "      <td>18.8</td>\n",
       "      <td>7.353659</td>\n",
       "      <td>5.297126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Fog</th>\n",
       "      <td>0.0</td>\n",
       "      <td>19.9</td>\n",
       "      <td>8.067500</td>\n",
       "      <td>4.970286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Ice Pellets,Fog</th>\n",
       "      <td>0.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow</th>\n",
       "      <td>0.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.050000</td>\n",
       "      <td>0.212132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow,Fog</th>\n",
       "      <td>0.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.693333</td>\n",
       "      <td>0.317280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>-16.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>4.303333</td>\n",
       "      <td>8.038802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle</th>\n",
       "      <td>-9.0</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>-5.657143</td>\n",
       "      <td>2.024728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Fog</th>\n",
       "      <td>-6.4</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>-2.533333</td>\n",
       "      <td>2.122891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Haze</th>\n",
       "      <td>-5.8</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-5.433333</td>\n",
       "      <td>0.404145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Snow</th>\n",
       "      <td>-8.3</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>-5.109091</td>\n",
       "      <td>1.705552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Fog</th>\n",
       "      <td>-19.0</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>-7.575000</td>\n",
       "      <td>9.214255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain</th>\n",
       "      <td>-6.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>-3.885714</td>\n",
       "      <td>2.112183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Fog</th>\n",
       "      <td>-6.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.225000</td>\n",
       "      <td>2.772935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Haze</th>\n",
       "      <td>-4.9</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>-4.900000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Ice Pellets,Fog</th>\n",
       "      <td>-2.6</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>-2.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Snow Grains</th>\n",
       "      <td>-5.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haze</th>\n",
       "      <td>-11.5</td>\n",
       "      <td>14.1</td>\n",
       "      <td>-0.200000</td>\n",
       "      <td>6.292535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainly Clear</th>\n",
       "      <td>-22.8</td>\n",
       "      <td>33.0</td>\n",
       "      <td>12.558927</td>\n",
       "      <td>12.348807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Rain,Fog</th>\n",
       "      <td>1.7</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow</th>\n",
       "      <td>-6.3</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>-5.525000</td>\n",
       "      <td>0.613052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow,Blowing Snow</th>\n",
       "      <td>-5.5</td>\n",
       "      <td>-5.4</td>\n",
       "      <td>-5.450000</td>\n",
       "      <td>0.070711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mostly Cloudy</th>\n",
       "      <td>-23.2</td>\n",
       "      <td>32.4</td>\n",
       "      <td>10.574287</td>\n",
       "      <td>11.312839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>0.3</td>\n",
       "      <td>22.8</td>\n",
       "      <td>9.786275</td>\n",
       "      <td>6.404164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers</th>\n",
       "      <td>1.6</td>\n",
       "      <td>26.4</td>\n",
       "      <td>13.722340</td>\n",
       "      <td>6.977575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Fog</th>\n",
       "      <td>12.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>12.800000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Snow Showers</th>\n",
       "      <td>2.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>0.070711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Fog</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.7</td>\n",
       "      <td>8.273276</td>\n",
       "      <td>6.037209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Haze</th>\n",
       "      <td>4.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>4.633333</td>\n",
       "      <td>0.776745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Ice Pellets</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow</th>\n",
       "      <td>0.6</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.055556</td>\n",
       "      <td>0.279121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow Grains</th>\n",
       "      <td>1.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Fog</th>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Ice Pellets</th>\n",
       "      <td>0.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>0.163299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>-16.7</td>\n",
       "      <td>3.7</td>\n",
       "      <td>-4.524103</td>\n",
       "      <td>4.155435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Pellets</th>\n",
       "      <td>0.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers</th>\n",
       "      <td>-13.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>-3.506667</td>\n",
       "      <td>4.322776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers,Fog</th>\n",
       "      <td>-11.3</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-10.675000</td>\n",
       "      <td>0.556028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Blowing Snow</th>\n",
       "      <td>-12.0</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>-5.410526</td>\n",
       "      <td>2.854995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Fog</th>\n",
       "      <td>-10.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>-5.075676</td>\n",
       "      <td>4.668714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Haze</th>\n",
       "      <td>-4.3</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>-4.020000</td>\n",
       "      <td>0.294958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Ice Pellets</th>\n",
       "      <td>-4.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>-1.883333</td>\n",
       "      <td>2.017341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms</th>\n",
       "      <td>21.6</td>\n",
       "      <td>26.7</td>\n",
       "      <td>24.150000</td>\n",
       "      <td>3.606245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Heavy Rain Showers</th>\n",
       "      <td>10.9</td>\n",
       "      <td>10.9</td>\n",
       "      <td>10.900000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Moderate Rain Showers,Fog</th>\n",
       "      <td>19.6</td>\n",
       "      <td>19.6</td>\n",
       "      <td>19.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain</th>\n",
       "      <td>19.4</td>\n",
       "      <td>21.3</td>\n",
       "      <td>20.433333</td>\n",
       "      <td>0.960902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <td>11.0</td>\n",
       "      <td>25.5</td>\n",
       "      <td>20.037500</td>\n",
       "      <td>4.203947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers,Fog</th>\n",
       "      <td>19.5</td>\n",
       "      <td>22.9</td>\n",
       "      <td>21.600000</td>\n",
       "      <td>1.835756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Temp_C                            \n",
       "                                           min   max       mean        std\n",
       "Weather                                                                   \n",
       "Clear                                    -23.3  32.8   6.825716  12.132015\n",
       "Cloudy                                   -21.4  30.5   7.970544  11.000283\n",
       "Drizzle                                    1.1  18.8   7.353659   5.297126\n",
       "Drizzle,Fog                                0.0  19.9   8.067500   4.970286\n",
       "Drizzle,Ice Pellets,Fog                    0.4   0.4   0.400000        NaN\n",
       "Drizzle,Snow                               0.9   1.2   1.050000   0.212132\n",
       "Drizzle,Snow,Fog                           0.3   1.1   0.693333   0.317280\n",
       "Fog                                      -16.0  20.8   4.303333   8.038802\n",
       "Freezing Drizzle                          -9.0  -2.3  -5.657143   2.024728\n",
       "Freezing Drizzle,Fog                      -6.4  -0.3  -2.533333   2.122891\n",
       "Freezing Drizzle,Haze                     -5.8  -5.0  -5.433333   0.404145\n",
       "Freezing Drizzle,Snow                     -8.3  -3.3  -5.109091   1.705552\n",
       "Freezing Fog                             -19.0  -0.1  -7.575000   9.214255\n",
       "Freezing Rain                             -6.5   0.3  -3.885714   2.112183\n",
       "Freezing Rain,Fog                         -6.1   0.1  -2.225000   2.772935\n",
       "Freezing Rain,Haze                        -4.9  -4.9  -4.900000   0.000000\n",
       "Freezing Rain,Ice Pellets,Fog             -2.6  -2.6  -2.600000        NaN\n",
       "Freezing Rain,Snow Grains                 -5.0  -5.0  -5.000000        NaN\n",
       "Haze                                     -11.5  14.1  -0.200000   6.292535\n",
       "Mainly Clear                             -22.8  33.0  12.558927  12.348807\n",
       "Moderate Rain,Fog                          1.7   1.7   1.700000        NaN\n",
       "Moderate Snow                             -6.3  -4.9  -5.525000   0.613052\n",
       "Moderate Snow,Blowing Snow                -5.5  -5.4  -5.450000   0.070711\n",
       "Mostly Cloudy                            -23.2  32.4  10.574287  11.312839\n",
       "Rain                                       0.3  22.8   9.786275   6.404164\n",
       "Rain Showers                               1.6  26.4  13.722340   6.977575\n",
       "Rain Showers,Fog                          12.8  12.8  12.800000        NaN\n",
       "Rain Showers,Snow Showers                  2.1   2.2   2.150000   0.070711\n",
       "Rain,Fog                                   0.0  21.7   8.273276   6.037209\n",
       "Rain,Haze                                  4.0   5.5   4.633333   0.776745\n",
       "Rain,Ice Pellets                           0.6   0.6   0.600000        NaN\n",
       "Rain,Snow                                  0.6   1.7   1.055556   0.279121\n",
       "Rain,Snow Grains                           1.9   1.9   1.900000        NaN\n",
       "Rain,Snow,Fog                              0.8   0.8   0.800000        NaN\n",
       "Rain,Snow,Ice Pellets                      0.9   1.3   1.100000   0.163299\n",
       "Snow                                     -16.7   3.7  -4.524103   4.155435\n",
       "Snow Pellets                               0.7   0.7   0.700000        NaN\n",
       "Snow Showers                             -13.3   2.9  -3.506667   4.322776\n",
       "Snow Showers,Fog                         -11.3 -10.0 -10.675000   0.556028\n",
       "Snow,Blowing Snow                        -12.0  -1.4  -5.410526   2.854995\n",
       "Snow,Fog                                 -10.1   1.1  -5.075676   4.668714\n",
       "Snow,Haze                                 -4.3  -3.6  -4.020000   0.294958\n",
       "Snow,Ice Pellets                          -4.3   0.8  -1.883333   2.017341\n",
       "Thunderstorms                             21.6  26.7  24.150000   3.606245\n",
       "Thunderstorms,Heavy Rain Showers          10.9  10.9  10.900000        NaN\n",
       "Thunderstorms,Moderate Rain Showers,Fog   19.6  19.6  19.600000        NaN\n",
       "Thunderstorms,Rain                        19.4  21.3  20.433333   0.960902\n",
       "Thunderstorms,Rain Showers                11.0  25.5  20.037500   4.203947\n",
       "Thunderstorms,Rain Showers,Fog            19.5  22.9  21.600000   1.835756\n",
       "Thunderstorms,Rain,Fog                    20.6  20.6  20.600000        NaN"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Weather').agg({'Temp_C':['min','max','mean','std']})\n",
    "# It shows min, max, mean, std temperature values based on weather condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c8236cf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Temp_C</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Clear</th>\n",
       "      <th>0</th>\n",
       "      <td>-19.1</td>\n",
       "      <td>24.6</td>\n",
       "      <td>5.060396</td>\n",
       "      <td>11.579664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-18.5</td>\n",
       "      <td>24.2</td>\n",
       "      <td>4.456338</td>\n",
       "      <td>11.454074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-19.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>4.430573</td>\n",
       "      <td>11.838251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-23.3</td>\n",
       "      <td>26.4</td>\n",
       "      <td>8.231126</td>\n",
       "      <td>10.773970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <th>32</th>\n",
       "      <td>20.2</td>\n",
       "      <td>20.2</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Thunderstorms,Rain Showers,Fog</th>\n",
       "      <th>7</th>\n",
       "      <td>19.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>22.9</td>\n",
       "      <td>22.9</td>\n",
       "      <td>22.900000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>22.4</td>\n",
       "      <td>22.4</td>\n",
       "      <td>22.400000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <th>19</th>\n",
       "      <td>20.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>410 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Temp_C                   \\\n",
       "                                                  min   max       mean   \n",
       "Weather                        Wind Speed_km/h                           \n",
       "Clear                          0                -19.1  24.6   5.060396   \n",
       "                               2                  2.4   2.4   2.400000   \n",
       "                               4                -18.5  24.2   4.456338   \n",
       "                               6                -19.2  23.9   4.430573   \n",
       "                               7                -23.3  26.4   8.231126   \n",
       "...                                               ...   ...        ...   \n",
       "Thunderstorms,Rain Showers     32                20.2  20.2  20.200000   \n",
       "Thunderstorms,Rain Showers,Fog 7                 19.5  19.5  19.500000   \n",
       "                               17                22.9  22.9  22.900000   \n",
       "                               35                22.4  22.4  22.400000   \n",
       "Thunderstorms,Rain,Fog         19                20.6  20.6  20.600000   \n",
       "\n",
       "                                                           \n",
       "                                                      std  \n",
       "Weather                        Wind Speed_km/h             \n",
       "Clear                          0                11.579664  \n",
       "                               2                      NaN  \n",
       "                               4                11.454074  \n",
       "                               6                11.838251  \n",
       "                               7                10.773970  \n",
       "...                                                   ...  \n",
       "Thunderstorms,Rain Showers     32                     NaN  \n",
       "Thunderstorms,Rain Showers,Fog 7                      NaN  \n",
       "                               17                     NaN  \n",
       "                               35                     NaN  \n",
       "Thunderstorms,Rain,Fog         19                     NaN  \n",
       "\n",
       "[410 rows x 4 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g1=df.groupby(['Weather','Wind Speed_km/h']).agg({'Temp_C':['min','max','mean','std']})\n",
    "g1\n",
    "# it groups table on basis of Weather, then Wind speed and showed min, max bases on grouped result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "feb1b269",
   "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>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8784.000000</td>\n",
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       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "      <td>8784.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.798144</td>\n",
       "      <td>2.555294</td>\n",
       "      <td>67.431694</td>\n",
       "      <td>14.945469</td>\n",
       "      <td>27.664447</td>\n",
       "      <td>101.051623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11.687883</td>\n",
       "      <td>10.883072</td>\n",
       "      <td>16.918881</td>\n",
       "      <td>8.688696</td>\n",
       "      <td>12.622688</td>\n",
       "      <td>0.844005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-23.300000</td>\n",
       "      <td>-28.500000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>97.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>-5.900000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>24.100000</td>\n",
       "      <td>100.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.300000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>101.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.800000</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>101.590000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>24.400000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>48.300000</td>\n",
       "      <td>103.650000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Temp_C  Dew Point Temp_C    Rel Hum_%  Wind Speed_km/h  \\\n",
       "count  8784.000000       8784.000000  8784.000000      8784.000000   \n",
       "mean      8.798144          2.555294    67.431694        14.945469   \n",
       "std      11.687883         10.883072    16.918881         8.688696   \n",
       "min     -23.300000        -28.500000    18.000000         0.000000   \n",
       "25%       0.100000         -5.900000    56.000000         9.000000   \n",
       "50%       9.300000          3.300000    68.000000        13.000000   \n",
       "75%      18.800000         11.800000    81.000000        20.000000   \n",
       "max      33.000000         24.400000   100.000000        83.000000   \n",
       "\n",
       "       Visibility_km    Press_kPa  \n",
       "count    8784.000000  8784.000000  \n",
       "mean       27.664447   101.051623  \n",
       "std        12.622688     0.844005  \n",
       "min         0.200000    97.520000  \n",
       "25%        24.100000   100.560000  \n",
       "50%        25.000000   101.070000  \n",
       "75%        25.000000   101.590000  \n",
       "max        48.300000   103.650000  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n",
    "# describe() return all the aggregate function values like min, max, mean, std etc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78f9c594",
   "metadata": {},
   "source": [
    "## Rename the column name 'Weather' of the dataframe to 'Weather Condition'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2cd66cb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather Condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2        1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3        1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa     Weather Condition  \n",
       "0               8.0     101.24                   Fog  \n",
       "1               8.0     101.24                   Fog  \n",
       "2               4.0     101.26  Freezing Drizzle,Fog  \n",
       "3               4.0     101.27  Freezing Drizzle,Fog  \n",
       "4               4.8     101.23                   Fog  \n",
       "...             ...        ...                   ...  \n",
       "8779            9.7     100.13                  Snow  \n",
       "8780            9.7     100.03                  Snow  \n",
       "8781            4.8      99.95                  Snow  \n",
       "8782            9.7      99.91                  Snow  \n",
       "8783           11.3      99.89                  Snow  \n",
       "\n",
       "[8784 rows x 8 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1= df.rename(columns={'Weather':'Weather Condition'})\n",
    "df1\n",
    "# renaming column name 'Weather' to 'Weather Condition'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "300eaf3e",
   "metadata": {},
   "source": [
    "## Find all the instances when 'Wind speed is above 24 and visibility is 25."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ee5372b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1/1/2012 23:00</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>79</td>\n",
       "      <td>30</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.31</td>\n",
       "      <td>Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1/2/2012 0:00</td>\n",
       "      <td>5.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>77</td>\n",
       "      <td>35</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.26</td>\n",
       "      <td>Rain Showers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1/2/2012 1:00</td>\n",
       "      <td>4.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72</td>\n",
       "      <td>39</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.26</td>\n",
       "      <td>Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1/2/2012 2:00</td>\n",
       "      <td>3.9</td>\n",
       "      <td>-0.9</td>\n",
       "      <td>71</td>\n",
       "      <td>32</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.26</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1/2/2012 3:00</td>\n",
       "      <td>3.7</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>69</td>\n",
       "      <td>33</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.30</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8705</th>\n",
       "      <td>12/28/2012 17:00</td>\n",
       "      <td>-8.6</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>76</td>\n",
       "      <td>26</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.34</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8753</th>\n",
       "      <td>12/30/2012 17:00</td>\n",
       "      <td>-12.1</td>\n",
       "      <td>-15.8</td>\n",
       "      <td>74</td>\n",
       "      <td>28</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8755</th>\n",
       "      <td>12/30/2012 19:00</td>\n",
       "      <td>-13.4</td>\n",
       "      <td>-16.5</td>\n",
       "      <td>77</td>\n",
       "      <td>26</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.47</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8759</th>\n",
       "      <td>12/30/2012 23:00</td>\n",
       "      <td>-12.1</td>\n",
       "      <td>-15.1</td>\n",
       "      <td>78</td>\n",
       "      <td>28</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.52</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8760</th>\n",
       "      <td>12/31/2012 0:00</td>\n",
       "      <td>-11.1</td>\n",
       "      <td>-14.4</td>\n",
       "      <td>77</td>\n",
       "      <td>26</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.51</td>\n",
       "      <td>Cloudy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>308 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "23      1/1/2012 23:00     5.3               2.0         79               30   \n",
       "24       1/2/2012 0:00     5.2               1.5         77               35   \n",
       "25       1/2/2012 1:00     4.6               0.0         72               39   \n",
       "26       1/2/2012 2:00     3.9              -0.9         71               32   \n",
       "27       1/2/2012 3:00     3.7              -1.5         69               33   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8705  12/28/2012 17:00    -8.6             -12.0         76               26   \n",
       "8753  12/30/2012 17:00   -12.1             -15.8         74               28   \n",
       "8755  12/30/2012 19:00   -13.4             -16.5         77               26   \n",
       "8759  12/30/2012 23:00   -12.1             -15.1         78               28   \n",
       "8760   12/31/2012 0:00   -11.1             -14.4         77               26   \n",
       "\n",
       "      Visibility_km  Press_kPa        Weather  \n",
       "23             25.0      99.31         Cloudy  \n",
       "24             25.0      99.26   Rain Showers  \n",
       "25             25.0      99.26         Cloudy  \n",
       "26             25.0      99.26  Mostly Cloudy  \n",
       "27             25.0      99.30  Mostly Cloudy  \n",
       "...             ...        ...            ...  \n",
       "8705           25.0     101.34   Mainly Clear  \n",
       "8753           25.0     101.26   Mainly Clear  \n",
       "8755           25.0     101.47   Mainly Clear  \n",
       "8759           25.0     101.52  Mostly Cloudy  \n",
       "8760           25.0     101.51         Cloudy  \n",
       "\n",
       "[308 rows x 8 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['Wind Speed_km/h']>24) & (df['Visibility_km']==25)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "f8b9bb7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>308.000000</td>\n",
       "      <td>308.000000</td>\n",
       "      <td>308.000000</td>\n",
       "      <td>308.000000</td>\n",
       "      <td>308.0</td>\n",
       "      <td>308.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.283117</td>\n",
       "      <td>-1.068182</td>\n",
       "      <td>69.016234</td>\n",
       "      <td>32.198052</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.500162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.370644</td>\n",
       "      <td>9.451079</td>\n",
       "      <td>11.159040</td>\n",
       "      <td>7.539023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.823364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-16.800000</td>\n",
       "      <td>-22.200000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>97.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-2.825000</td>\n",
       "      <td>-8.600000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.957500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.900000</td>\n",
       "      <td>-1.650000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.525000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.650000</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>25.500000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>103.180000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Temp_C  Dew Point Temp_C   Rel Hum_%  Wind Speed_km/h  \\\n",
       "count  308.000000        308.000000  308.000000       308.000000   \n",
       "mean     4.283117         -1.068182   69.016234        32.198052   \n",
       "std      9.370644          9.451079   11.159040         7.539023   \n",
       "min    -16.800000        -22.200000   25.000000        26.000000   \n",
       "25%     -2.825000         -8.600000   63.000000        28.000000   \n",
       "50%      2.900000         -1.650000   70.000000        30.000000   \n",
       "75%     11.650000          6.950000   77.000000        33.000000   \n",
       "max     25.500000         21.800000   92.000000        83.000000   \n",
       "\n",
       "       Visibility_km   Press_kPa  \n",
       "count          308.0  308.000000  \n",
       "mean            25.0  100.500162  \n",
       "std              0.0    0.823364  \n",
       "min             25.0   97.560000  \n",
       "25%             25.0   99.957500  \n",
       "50%             25.0  100.525000  \n",
       "75%             25.0  101.060000  \n",
       "max             25.0  103.180000  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['Wind Speed_km/h']>24) & (df['Visibility_km']==25)].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dc02fba",
   "metadata": {},
   "source": [
    "## What is the min, max, mean value of each column against each 'Weather'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f35296f2",
   "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>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clear</th>\n",
       "      <td>6.825716</td>\n",
       "      <td>0.089367</td>\n",
       "      <td>64.497738</td>\n",
       "      <td>10.557315</td>\n",
       "      <td>30.153243</td>\n",
       "      <td>101.587443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloudy</th>\n",
       "      <td>7.970544</td>\n",
       "      <td>2.375810</td>\n",
       "      <td>69.592593</td>\n",
       "      <td>16.127315</td>\n",
       "      <td>26.625752</td>\n",
       "      <td>100.911441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle</th>\n",
       "      <td>7.353659</td>\n",
       "      <td>5.504878</td>\n",
       "      <td>88.243902</td>\n",
       "      <td>16.097561</td>\n",
       "      <td>17.931707</td>\n",
       "      <td>100.435366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Fog</th>\n",
       "      <td>8.067500</td>\n",
       "      <td>7.033750</td>\n",
       "      <td>93.275000</td>\n",
       "      <td>11.862500</td>\n",
       "      <td>5.257500</td>\n",
       "      <td>100.786625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Ice Pellets,Fog</th>\n",
       "      <td>0.400000</td>\n",
       "      <td>-0.700000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>100.790000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow</th>\n",
       "      <td>1.050000</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>10.500000</td>\n",
       "      <td>100.890000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow,Fog</th>\n",
       "      <td>0.693333</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>95.866667</td>\n",
       "      <td>15.533333</td>\n",
       "      <td>5.513333</td>\n",
       "      <td>99.281333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>4.303333</td>\n",
       "      <td>3.159333</td>\n",
       "      <td>92.286667</td>\n",
       "      <td>7.946667</td>\n",
       "      <td>6.248000</td>\n",
       "      <td>101.184067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle</th>\n",
       "      <td>-5.657143</td>\n",
       "      <td>-8.000000</td>\n",
       "      <td>83.571429</td>\n",
       "      <td>16.571429</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>100.202857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Fog</th>\n",
       "      <td>-2.533333</td>\n",
       "      <td>-4.183333</td>\n",
       "      <td>88.500000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.266667</td>\n",
       "      <td>100.441667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Haze</th>\n",
       "      <td>-5.433333</td>\n",
       "      <td>-8.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>10.333333</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>100.316667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Snow</th>\n",
       "      <td>-5.109091</td>\n",
       "      <td>-7.072727</td>\n",
       "      <td>86.090909</td>\n",
       "      <td>16.272727</td>\n",
       "      <td>5.872727</td>\n",
       "      <td>100.520909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Fog</th>\n",
       "      <td>-7.575000</td>\n",
       "      <td>-9.250000</td>\n",
       "      <td>87.750000</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>102.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain</th>\n",
       "      <td>-3.885714</td>\n",
       "      <td>-6.078571</td>\n",
       "      <td>84.642857</td>\n",
       "      <td>19.214286</td>\n",
       "      <td>8.242857</td>\n",
       "      <td>99.647143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Fog</th>\n",
       "      <td>-2.225000</td>\n",
       "      <td>-3.750000</td>\n",
       "      <td>89.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>7.550000</td>\n",
       "      <td>99.945000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Haze</th>\n",
       "      <td>-4.900000</td>\n",
       "      <td>-7.450000</td>\n",
       "      <td>82.500000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>100.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Ice Pellets,Fog</th>\n",
       "      <td>-2.600000</td>\n",
       "      <td>-3.700000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>100.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Snow Grains</th>\n",
       "      <td>-5.000000</td>\n",
       "      <td>-7.300000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>98.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haze</th>\n",
       "      <td>-0.200000</td>\n",
       "      <td>-2.975000</td>\n",
       "      <td>81.625000</td>\n",
       "      <td>10.437500</td>\n",
       "      <td>7.831250</td>\n",
       "      <td>101.482500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainly Clear</th>\n",
       "      <td>12.558927</td>\n",
       "      <td>4.581671</td>\n",
       "      <td>60.667142</td>\n",
       "      <td>14.144824</td>\n",
       "      <td>34.264862</td>\n",
       "      <td>101.248832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Rain,Fog</th>\n",
       "      <td>1.700000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>99.980000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow</th>\n",
       "      <td>-5.525000</td>\n",
       "      <td>-7.250000</td>\n",
       "      <td>87.750000</td>\n",
       "      <td>33.750000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>100.275000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow,Blowing Snow</th>\n",
       "      <td>-5.450000</td>\n",
       "      <td>-6.500000</td>\n",
       "      <td>92.500000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>100.570000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mostly Cloudy</th>\n",
       "      <td>10.574287</td>\n",
       "      <td>3.131174</td>\n",
       "      <td>62.102465</td>\n",
       "      <td>15.813920</td>\n",
       "      <td>31.253842</td>\n",
       "      <td>101.025288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>9.786275</td>\n",
       "      <td>7.042810</td>\n",
       "      <td>83.624183</td>\n",
       "      <td>19.254902</td>\n",
       "      <td>18.856536</td>\n",
       "      <td>100.233333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers</th>\n",
       "      <td>13.722340</td>\n",
       "      <td>9.187766</td>\n",
       "      <td>75.159574</td>\n",
       "      <td>17.132979</td>\n",
       "      <td>22.816489</td>\n",
       "      <td>100.404043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Fog</th>\n",
       "      <td>12.800000</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>99.830000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Snow Showers</th>\n",
       "      <td>2.150000</td>\n",
       "      <td>-1.500000</td>\n",
       "      <td>76.500000</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>21.700000</td>\n",
       "      <td>101.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Fog</th>\n",
       "      <td>8.273276</td>\n",
       "      <td>7.219828</td>\n",
       "      <td>93.189655</td>\n",
       "      <td>14.793103</td>\n",
       "      <td>6.873276</td>\n",
       "      <td>100.500862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Haze</th>\n",
       "      <td>4.633333</td>\n",
       "      <td>2.066667</td>\n",
       "      <td>83.333333</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>100.540000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Ice Pellets</th>\n",
       "      <td>0.600000</td>\n",
       "      <td>-0.600000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>100.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow</th>\n",
       "      <td>1.055556</td>\n",
       "      <td>-0.566667</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>28.388889</td>\n",
       "      <td>11.672222</td>\n",
       "      <td>99.951111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow Grains</th>\n",
       "      <td>1.900000</td>\n",
       "      <td>-2.100000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>100.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Fog</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>100.730000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Ice Pellets</th>\n",
       "      <td>1.100000</td>\n",
       "      <td>-0.175000</td>\n",
       "      <td>91.500000</td>\n",
       "      <td>23.250000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>100.105000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>-4.524103</td>\n",
       "      <td>-7.623333</td>\n",
       "      <td>79.307692</td>\n",
       "      <td>20.038462</td>\n",
       "      <td>11.171795</td>\n",
       "      <td>100.536103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Pellets</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>-6.400000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>99.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers</th>\n",
       "      <td>-3.506667</td>\n",
       "      <td>-7.866667</td>\n",
       "      <td>72.350000</td>\n",
       "      <td>19.233333</td>\n",
       "      <td>20.158333</td>\n",
       "      <td>100.963500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers,Fog</th>\n",
       "      <td>-10.675000</td>\n",
       "      <td>-11.900000</td>\n",
       "      <td>90.750000</td>\n",
       "      <td>13.750000</td>\n",
       "      <td>7.025000</td>\n",
       "      <td>101.292500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Blowing Snow</th>\n",
       "      <td>-5.410526</td>\n",
       "      <td>-7.621053</td>\n",
       "      <td>84.473684</td>\n",
       "      <td>34.842105</td>\n",
       "      <td>4.105263</td>\n",
       "      <td>99.704737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Fog</th>\n",
       "      <td>-5.075676</td>\n",
       "      <td>-6.364865</td>\n",
       "      <td>90.675676</td>\n",
       "      <td>17.324324</td>\n",
       "      <td>4.537838</td>\n",
       "      <td>100.688649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Haze</th>\n",
       "      <td>-4.020000</td>\n",
       "      <td>-6.860000</td>\n",
       "      <td>80.600000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.640000</td>\n",
       "      <td>100.782000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Ice Pellets</th>\n",
       "      <td>-1.883333</td>\n",
       "      <td>-3.666667</td>\n",
       "      <td>87.666667</td>\n",
       "      <td>23.833333</td>\n",
       "      <td>7.416667</td>\n",
       "      <td>100.548333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms</th>\n",
       "      <td>24.150000</td>\n",
       "      <td>19.750000</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>24.550000</td>\n",
       "      <td>100.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Heavy Rain Showers</th>\n",
       "      <td>10.900000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>100.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Moderate Rain Showers,Fog</th>\n",
       "      <td>19.600000</td>\n",
       "      <td>18.500000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>100.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain</th>\n",
       "      <td>20.433333</td>\n",
       "      <td>18.533333</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>15.666667</td>\n",
       "      <td>19.833333</td>\n",
       "      <td>100.420000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <td>20.037500</td>\n",
       "      <td>17.618750</td>\n",
       "      <td>86.375000</td>\n",
       "      <td>18.312500</td>\n",
       "      <td>15.893750</td>\n",
       "      <td>100.233750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers,Fog</th>\n",
       "      <td>21.600000</td>\n",
       "      <td>18.700000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>19.666667</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>100.063333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <td>20.600000</td>\n",
       "      <td>18.600000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>100.080000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Temp_C  Dew Point Temp_C  \\\n",
       "Weather                                                                \n",
       "Clear                                     6.825716          0.089367   \n",
       "Cloudy                                    7.970544          2.375810   \n",
       "Drizzle                                   7.353659          5.504878   \n",
       "Drizzle,Fog                               8.067500          7.033750   \n",
       "Drizzle,Ice Pellets,Fog                   0.400000         -0.700000   \n",
       "Drizzle,Snow                              1.050000          0.150000   \n",
       "Drizzle,Snow,Fog                          0.693333          0.120000   \n",
       "Fog                                       4.303333          3.159333   \n",
       "Freezing Drizzle                         -5.657143         -8.000000   \n",
       "Freezing Drizzle,Fog                     -2.533333         -4.183333   \n",
       "Freezing Drizzle,Haze                    -5.433333         -8.000000   \n",
       "Freezing Drizzle,Snow                    -5.109091         -7.072727   \n",
       "Freezing Fog                             -7.575000         -9.250000   \n",
       "Freezing Rain                            -3.885714         -6.078571   \n",
       "Freezing Rain,Fog                        -2.225000         -3.750000   \n",
       "Freezing Rain,Haze                       -4.900000         -7.450000   \n",
       "Freezing Rain,Ice Pellets,Fog            -2.600000         -3.700000   \n",
       "Freezing Rain,Snow Grains                -5.000000         -7.300000   \n",
       "Haze                                     -0.200000         -2.975000   \n",
       "Mainly Clear                             12.558927          4.581671   \n",
       "Moderate Rain,Fog                         1.700000          0.800000   \n",
       "Moderate Snow                            -5.525000         -7.250000   \n",
       "Moderate Snow,Blowing Snow               -5.450000         -6.500000   \n",
       "Mostly Cloudy                            10.574287          3.131174   \n",
       "Rain                                      9.786275          7.042810   \n",
       "Rain Showers                             13.722340          9.187766   \n",
       "Rain Showers,Fog                         12.800000         12.100000   \n",
       "Rain Showers,Snow Showers                 2.150000         -1.500000   \n",
       "Rain,Fog                                  8.273276          7.219828   \n",
       "Rain,Haze                                 4.633333          2.066667   \n",
       "Rain,Ice Pellets                          0.600000         -0.600000   \n",
       "Rain,Snow                                 1.055556         -0.566667   \n",
       "Rain,Snow Grains                          1.900000         -2.100000   \n",
       "Rain,Snow,Fog                             0.800000          0.300000   \n",
       "Rain,Snow,Ice Pellets                     1.100000         -0.175000   \n",
       "Snow                                     -4.524103         -7.623333   \n",
       "Snow Pellets                              0.700000         -6.400000   \n",
       "Snow Showers                             -3.506667         -7.866667   \n",
       "Snow Showers,Fog                        -10.675000        -11.900000   \n",
       "Snow,Blowing Snow                        -5.410526         -7.621053   \n",
       "Snow,Fog                                 -5.075676         -6.364865   \n",
       "Snow,Haze                                -4.020000         -6.860000   \n",
       "Snow,Ice Pellets                         -1.883333         -3.666667   \n",
       "Thunderstorms                            24.150000         19.750000   \n",
       "Thunderstorms,Heavy Rain Showers         10.900000          9.000000   \n",
       "Thunderstorms,Moderate Rain Showers,Fog  19.600000         18.500000   \n",
       "Thunderstorms,Rain                       20.433333         18.533333   \n",
       "Thunderstorms,Rain Showers               20.037500         17.618750   \n",
       "Thunderstorms,Rain Showers,Fog           21.600000         18.700000   \n",
       "Thunderstorms,Rain,Fog                   20.600000         18.600000   \n",
       "\n",
       "                                         Rel Hum_%  Wind Speed_km/h  \\\n",
       "Weather                                                               \n",
       "Clear                                    64.497738        10.557315   \n",
       "Cloudy                                   69.592593        16.127315   \n",
       "Drizzle                                  88.243902        16.097561   \n",
       "Drizzle,Fog                              93.275000        11.862500   \n",
       "Drizzle,Ice Pellets,Fog                  92.000000        20.000000   \n",
       "Drizzle,Snow                             93.500000        14.000000   \n",
       "Drizzle,Snow,Fog                         95.866667        15.533333   \n",
       "Fog                                      92.286667         7.946667   \n",
       "Freezing Drizzle                         83.571429        16.571429   \n",
       "Freezing Drizzle,Fog                     88.500000        17.000000   \n",
       "Freezing Drizzle,Haze                    82.000000        10.333333   \n",
       "Freezing Drizzle,Snow                    86.090909        16.272727   \n",
       "Freezing Fog                             87.750000         4.750000   \n",
       "Freezing Rain                            84.642857        19.214286   \n",
       "Freezing Rain,Fog                        89.500000        15.500000   \n",
       "Freezing Rain,Haze                       82.500000         7.500000   \n",
       "Freezing Rain,Ice Pellets,Fog            92.000000        28.000000   \n",
       "Freezing Rain,Snow Grains                84.000000        32.000000   \n",
       "Haze                                     81.625000        10.437500   \n",
       "Mainly Clear                             60.667142        14.144824   \n",
       "Moderate Rain,Fog                        94.000000        17.000000   \n",
       "Moderate Snow                            87.750000        33.750000   \n",
       "Moderate Snow,Blowing Snow               92.500000        40.000000   \n",
       "Mostly Cloudy                            62.102465        15.813920   \n",
       "Rain                                     83.624183        19.254902   \n",
       "Rain Showers                             75.159574        17.132979   \n",
       "Rain Showers,Fog                         96.000000        13.000000   \n",
       "Rain Showers,Snow Showers                76.500000        22.500000   \n",
       "Rain,Fog                                 93.189655        14.793103   \n",
       "Rain,Haze                                83.333333        11.666667   \n",
       "Rain,Ice Pellets                         92.000000        24.000000   \n",
       "Rain,Snow                                89.000000        28.388889   \n",
       "Rain,Snow Grains                         75.000000        26.000000   \n",
       "Rain,Snow,Fog                            96.000000         9.000000   \n",
       "Rain,Snow,Ice Pellets                    91.500000        23.250000   \n",
       "Snow                                     79.307692        20.038462   \n",
       "Snow Pellets                             59.000000        35.000000   \n",
       "Snow Showers                             72.350000        19.233333   \n",
       "Snow Showers,Fog                         90.750000        13.750000   \n",
       "Snow,Blowing Snow                        84.473684        34.842105   \n",
       "Snow,Fog                                 90.675676        17.324324   \n",
       "Snow,Haze                                80.600000         5.000000   \n",
       "Snow,Ice Pellets                         87.666667        23.833333   \n",
       "Thunderstorms                            77.000000         7.500000   \n",
       "Thunderstorms,Heavy Rain Showers         88.000000         9.000000   \n",
       "Thunderstorms,Moderate Rain Showers,Fog  93.000000        15.000000   \n",
       "Thunderstorms,Rain                       89.000000        15.666667   \n",
       "Thunderstorms,Rain Showers               86.375000        18.312500   \n",
       "Thunderstorms,Rain Showers,Fog           84.000000        19.666667   \n",
       "Thunderstorms,Rain,Fog                   88.000000        19.000000   \n",
       "\n",
       "                                         Visibility_km   Press_kPa  \n",
       "Weather                                                             \n",
       "Clear                                        30.153243  101.587443  \n",
       "Cloudy                                       26.625752  100.911441  \n",
       "Drizzle                                      17.931707  100.435366  \n",
       "Drizzle,Fog                                   5.257500  100.786625  \n",
       "Drizzle,Ice Pellets,Fog                       4.000000  100.790000  \n",
       "Drizzle,Snow                                 10.500000  100.890000  \n",
       "Drizzle,Snow,Fog                              5.513333   99.281333  \n",
       "Fog                                           6.248000  101.184067  \n",
       "Freezing Drizzle                              9.200000  100.202857  \n",
       "Freezing Drizzle,Fog                          5.266667  100.441667  \n",
       "Freezing Drizzle,Haze                         2.666667  100.316667  \n",
       "Freezing Drizzle,Snow                         5.872727  100.520909  \n",
       "Freezing Fog                                  0.650000  102.320000  \n",
       "Freezing Rain                                 8.242857   99.647143  \n",
       "Freezing Rain,Fog                             7.550000   99.945000  \n",
       "Freezing Rain,Haze                            2.400000  100.375000  \n",
       "Freezing Rain,Ice Pellets,Fog                 8.000000  100.950000  \n",
       "Freezing Rain,Snow Grains                     4.800000   98.560000  \n",
       "Haze                                          7.831250  101.482500  \n",
       "Mainly Clear                                 34.264862  101.248832  \n",
       "Moderate Rain,Fog                             6.400000   99.980000  \n",
       "Moderate Snow                                 0.750000  100.275000  \n",
       "Moderate Snow,Blowing Snow                    0.600000  100.570000  \n",
       "Mostly Cloudy                                31.253842  101.025288  \n",
       "Rain                                         18.856536  100.233333  \n",
       "Rain Showers                                 22.816489  100.404043  \n",
       "Rain Showers,Fog                              6.400000   99.830000  \n",
       "Rain Showers,Snow Showers                    21.700000  101.100000  \n",
       "Rain,Fog                                      6.873276  100.500862  \n",
       "Rain,Haze                                     6.700000  100.540000  \n",
       "Rain,Ice Pellets                              9.700000  100.120000  \n",
       "Rain,Snow                                    11.672222   99.951111  \n",
       "Rain,Snow Grains                             25.000000  100.600000  \n",
       "Rain,Snow,Fog                                 6.400000  100.730000  \n",
       "Rain,Snow,Ice Pellets                         6.000000  100.105000  \n",
       "Snow                                         11.171795  100.536103  \n",
       "Snow Pellets                                  2.400000   99.700000  \n",
       "Snow Showers                                 20.158333  100.963500  \n",
       "Snow Showers,Fog                              7.025000  101.292500  \n",
       "Snow,Blowing Snow                             4.105263   99.704737  \n",
       "Snow,Fog                                      4.537838  100.688649  \n",
       "Snow,Haze                                     4.640000  100.782000  \n",
       "Snow,Ice Pellets                              7.416667  100.548333  \n",
       "Thunderstorms                                24.550000  100.230000  \n",
       "Thunderstorms,Heavy Rain Showers              2.400000  100.260000  \n",
       "Thunderstorms,Moderate Rain Showers,Fog       3.200000  100.010000  \n",
       "Thunderstorms,Rain                           19.833333  100.420000  \n",
       "Thunderstorms,Rain Showers                   15.893750  100.233750  \n",
       "Thunderstorms,Rain Showers,Fog                9.700000  100.063333  \n",
       "Thunderstorms,Rain,Fog                        4.800000  100.080000  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Weather').mean(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "ede36f8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clear</th>\n",
       "      <td>-23.3</td>\n",
       "      <td>-28.5</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloudy</th>\n",
       "      <td>-21.4</td>\n",
       "      <td>-26.8</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>98.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle</th>\n",
       "      <td>1.1</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>97.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Fog</th>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.6</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Ice Pellets,Fog</th>\n",
       "      <td>0.4</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>92</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow</th>\n",
       "      <td>0.9</td>\n",
       "      <td>0.1</td>\n",
       "      <td>92</td>\n",
       "      <td>9</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow,Fog</th>\n",
       "      <td>0.3</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>92</td>\n",
       "      <td>7</td>\n",
       "      <td>2.4</td>\n",
       "      <td>97.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>-16.0</td>\n",
       "      <td>-17.2</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>98.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle</th>\n",
       "      <td>-9.0</td>\n",
       "      <td>-12.2</td>\n",
       "      <td>78</td>\n",
       "      <td>6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>98.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Fog</th>\n",
       "      <td>-6.4</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>82</td>\n",
       "      <td>6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>98.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Haze</th>\n",
       "      <td>-5.8</td>\n",
       "      <td>-8.3</td>\n",
       "      <td>81</td>\n",
       "      <td>9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Snow</th>\n",
       "      <td>-8.3</td>\n",
       "      <td>-10.4</td>\n",
       "      <td>79</td>\n",
       "      <td>6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>99.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Fog</th>\n",
       "      <td>-19.0</td>\n",
       "      <td>-22.9</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>101.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain</th>\n",
       "      <td>-6.5</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>81</td>\n",
       "      <td>7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>98.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Fog</th>\n",
       "      <td>-6.1</td>\n",
       "      <td>-8.7</td>\n",
       "      <td>82</td>\n",
       "      <td>7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>98.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Haze</th>\n",
       "      <td>-4.9</td>\n",
       "      <td>-7.5</td>\n",
       "      <td>82</td>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Ice Pellets,Fog</th>\n",
       "      <td>-2.6</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>92</td>\n",
       "      <td>28</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Snow Grains</th>\n",
       "      <td>-5.0</td>\n",
       "      <td>-7.3</td>\n",
       "      <td>84</td>\n",
       "      <td>32</td>\n",
       "      <td>4.8</td>\n",
       "      <td>98.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haze</th>\n",
       "      <td>-11.5</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>100.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainly Clear</th>\n",
       "      <td>-22.8</td>\n",
       "      <td>-28.0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>12.9</td>\n",
       "      <td>98.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Rain,Fog</th>\n",
       "      <td>1.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>94</td>\n",
       "      <td>17</td>\n",
       "      <td>6.4</td>\n",
       "      <td>99.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow</th>\n",
       "      <td>-6.3</td>\n",
       "      <td>-7.6</td>\n",
       "      <td>83</td>\n",
       "      <td>26</td>\n",
       "      <td>0.6</td>\n",
       "      <td>99.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow,Blowing Snow</th>\n",
       "      <td>-5.5</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>92</td>\n",
       "      <td>39</td>\n",
       "      <td>0.6</td>\n",
       "      <td>100.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mostly Cloudy</th>\n",
       "      <td>-23.2</td>\n",
       "      <td>-28.5</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>11.3</td>\n",
       "      <td>98.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>0.3</td>\n",
       "      <td>-5.7</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>97.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers</th>\n",
       "      <td>1.6</td>\n",
       "      <td>-7.2</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>98.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Fog</th>\n",
       "      <td>12.8</td>\n",
       "      <td>12.1</td>\n",
       "      <td>96</td>\n",
       "      <td>13</td>\n",
       "      <td>6.4</td>\n",
       "      <td>99.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Snow Showers</th>\n",
       "      <td>2.1</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>75</td>\n",
       "      <td>17</td>\n",
       "      <td>19.3</td>\n",
       "      <td>101.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Fog</th>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.2</td>\n",
       "      <td>83</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>98.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Haze</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>81</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Ice Pellets</th>\n",
       "      <td>0.6</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>92</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow</th>\n",
       "      <td>0.6</td>\n",
       "      <td>-1.7</td>\n",
       "      <td>81</td>\n",
       "      <td>13</td>\n",
       "      <td>2.4</td>\n",
       "      <td>98.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow Grains</th>\n",
       "      <td>1.9</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>75</td>\n",
       "      <td>26</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Fog</th>\n",
       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>96</td>\n",
       "      <td>9</td>\n",
       "      <td>6.4</td>\n",
       "      <td>100.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Ice Pellets</th>\n",
       "      <td>0.9</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>88</td>\n",
       "      <td>17</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>-16.7</td>\n",
       "      <td>-24.6</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>97.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Pellets</th>\n",
       "      <td>0.7</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>59</td>\n",
       "      <td>35</td>\n",
       "      <td>2.4</td>\n",
       "      <td>99.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers</th>\n",
       "      <td>-13.3</td>\n",
       "      <td>-19.3</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>99.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers,Fog</th>\n",
       "      <td>-11.3</td>\n",
       "      <td>-12.7</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Blowing Snow</th>\n",
       "      <td>-12.0</td>\n",
       "      <td>-16.2</td>\n",
       "      <td>70</td>\n",
       "      <td>24</td>\n",
       "      <td>0.6</td>\n",
       "      <td>98.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Fog</th>\n",
       "      <td>-10.1</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>77</td>\n",
       "      <td>4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>99.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Haze</th>\n",
       "      <td>-4.3</td>\n",
       "      <td>-7.2</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Ice Pellets</th>\n",
       "      <td>-4.3</td>\n",
       "      <td>-5.9</td>\n",
       "      <td>76</td>\n",
       "      <td>19</td>\n",
       "      <td>2.8</td>\n",
       "      <td>99.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms</th>\n",
       "      <td>21.6</td>\n",
       "      <td>19.4</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>99.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Heavy Rain Showers</th>\n",
       "      <td>10.9</td>\n",
       "      <td>9.0</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>100.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Moderate Rain Showers,Fog</th>\n",
       "      <td>19.6</td>\n",
       "      <td>18.5</td>\n",
       "      <td>93</td>\n",
       "      <td>15</td>\n",
       "      <td>3.2</td>\n",
       "      <td>100.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain</th>\n",
       "      <td>19.4</td>\n",
       "      <td>18.2</td>\n",
       "      <td>83</td>\n",
       "      <td>4</td>\n",
       "      <td>16.1</td>\n",
       "      <td>100.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>68</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>99.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers,Fog</th>\n",
       "      <td>19.5</td>\n",
       "      <td>16.1</td>\n",
       "      <td>80</td>\n",
       "      <td>7</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <td>20.6</td>\n",
       "      <td>18.6</td>\n",
       "      <td>88</td>\n",
       "      <td>19</td>\n",
       "      <td>4.8</td>\n",
       "      <td>100.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Temp_C  Dew Point Temp_C  Rel Hum_%  \\\n",
       "Weather                                                                        \n",
       "Clear                                     -23.3             -28.5         20   \n",
       "Cloudy                                    -21.4             -26.8         18   \n",
       "Drizzle                                     1.1              -0.2         74   \n",
       "Drizzle,Fog                                 0.0              -1.6         85   \n",
       "Drizzle,Ice Pellets,Fog                     0.4              -0.7         92   \n",
       "Drizzle,Snow                                0.9               0.1         92   \n",
       "Drizzle,Snow,Fog                            0.3              -0.1         92   \n",
       "Fog                                       -16.0             -17.2         80   \n",
       "Freezing Drizzle                           -9.0             -12.2         78   \n",
       "Freezing Drizzle,Fog                       -6.4              -9.0         82   \n",
       "Freezing Drizzle,Haze                      -5.8              -8.3         81   \n",
       "Freezing Drizzle,Snow                      -8.3             -10.4         79   \n",
       "Freezing Fog                              -19.0             -22.9         71   \n",
       "Freezing Rain                              -6.5              -9.0         81   \n",
       "Freezing Rain,Fog                          -6.1              -8.7         82   \n",
       "Freezing Rain,Haze                         -4.9              -7.5         82   \n",
       "Freezing Rain,Ice Pellets,Fog              -2.6              -3.7         92   \n",
       "Freezing Rain,Snow Grains                  -5.0              -7.3         84   \n",
       "Haze                                      -11.5             -16.0         68   \n",
       "Mainly Clear                              -22.8             -28.0         20   \n",
       "Moderate Rain,Fog                           1.7               0.8         94   \n",
       "Moderate Snow                              -6.3              -7.6         83   \n",
       "Moderate Snow,Blowing Snow                 -5.5              -6.6         92   \n",
       "Mostly Cloudy                             -23.2             -28.5         18   \n",
       "Rain                                        0.3              -5.7         40   \n",
       "Rain Showers                                1.6              -7.2         37   \n",
       "Rain Showers,Fog                           12.8              12.1         96   \n",
       "Rain Showers,Snow Showers                   2.1              -1.8         75   \n",
       "Rain,Fog                                    0.0              -1.2         83   \n",
       "Rain,Haze                                   4.0               1.0         81   \n",
       "Rain,Ice Pellets                            0.6              -0.6         92   \n",
       "Rain,Snow                                   0.6              -1.7         81   \n",
       "Rain,Snow Grains                            1.9              -2.1         75   \n",
       "Rain,Snow,Fog                               0.8               0.3         96   \n",
       "Rain,Snow,Ice Pellets                       0.9              -0.7         88   \n",
       "Snow                                      -16.7             -24.6         41   \n",
       "Snow Pellets                                0.7              -6.4         59   \n",
       "Snow Showers                              -13.3             -19.3         52   \n",
       "Snow Showers,Fog                          -11.3             -12.7         89   \n",
       "Snow,Blowing Snow                         -12.0             -16.2         70   \n",
       "Snow,Fog                                  -10.1             -12.0         77   \n",
       "Snow,Haze                                  -4.3              -7.2         80   \n",
       "Snow,Ice Pellets                           -4.3              -5.9         76   \n",
       "Thunderstorms                              21.6              19.4         67   \n",
       "Thunderstorms,Heavy Rain Showers           10.9               9.0         88   \n",
       "Thunderstorms,Moderate Rain Showers,Fog    19.6              18.5         93   \n",
       "Thunderstorms,Rain                         19.4              18.2         83   \n",
       "Thunderstorms,Rain Showers                 11.0               7.0         68   \n",
       "Thunderstorms,Rain Showers,Fog             19.5              16.1         80   \n",
       "Thunderstorms,Rain,Fog                     20.6              18.6         88   \n",
       "\n",
       "                                         Wind Speed_km/h  Visibility_km  \\\n",
       "Weather                                                                   \n",
       "Clear                                                  0           11.3   \n",
       "Cloudy                                                 0           11.3   \n",
       "Drizzle                                                0            6.4   \n",
       "Drizzle,Fog                                            0            1.0   \n",
       "Drizzle,Ice Pellets,Fog                               20            4.0   \n",
       "Drizzle,Snow                                           9            9.7   \n",
       "Drizzle,Snow,Fog                                       7            2.4   \n",
       "Fog                                                    0            0.2   \n",
       "Freezing Drizzle                                       6            4.8   \n",
       "Freezing Drizzle,Fog                                   6            3.6   \n",
       "Freezing Drizzle,Haze                                  9            2.0   \n",
       "Freezing Drizzle,Snow                                  6            2.4   \n",
       "Freezing Fog                                           0            0.2   \n",
       "Freezing Rain                                          7            2.8   \n",
       "Freezing Rain,Fog                                      7            2.8   \n",
       "Freezing Rain,Haze                                     6            2.0   \n",
       "Freezing Rain,Ice Pellets,Fog                         28            8.0   \n",
       "Freezing Rain,Snow Grains                             32            4.8   \n",
       "Haze                                                   0            4.8   \n",
       "Mainly Clear                                           0           12.9   \n",
       "Moderate Rain,Fog                                     17            6.4   \n",
       "Moderate Snow                                         26            0.6   \n",
       "Moderate Snow,Blowing Snow                            39            0.6   \n",
       "Mostly Cloudy                                          0           11.3   \n",
       "Rain                                                   0            4.0   \n",
       "Rain Showers                                           0            6.4   \n",
       "Rain Showers,Fog                                      13            6.4   \n",
       "Rain Showers,Snow Showers                             17           19.3   \n",
       "Rain,Fog                                               0            2.0   \n",
       "Rain,Haze                                              7            4.0   \n",
       "Rain,Ice Pellets                                      24            9.7   \n",
       "Rain,Snow                                             13            2.4   \n",
       "Rain,Snow Grains                                      26           25.0   \n",
       "Rain,Snow,Fog                                          9            6.4   \n",
       "Rain,Snow,Ice Pellets                                 17            4.8   \n",
       "Snow                                                   0            1.0   \n",
       "Snow Pellets                                          35            2.4   \n",
       "Snow Showers                                           0            2.4   \n",
       "Snow Showers,Fog                                       7            4.0   \n",
       "Snow,Blowing Snow                                     24            0.6   \n",
       "Snow,Fog                                               4            1.2   \n",
       "Snow,Haze                                              0            4.0   \n",
       "Snow,Ice Pellets                                      19            2.8   \n",
       "Thunderstorms                                          0           24.1   \n",
       "Thunderstorms,Heavy Rain Showers                       9            2.4   \n",
       "Thunderstorms,Moderate Rain Showers,Fog               15            3.2   \n",
       "Thunderstorms,Rain                                     4           16.1   \n",
       "Thunderstorms,Rain Showers                             7            6.4   \n",
       "Thunderstorms,Rain Showers,Fog                         7            9.7   \n",
       "Thunderstorms,Rain,Fog                                19            4.8   \n",
       "\n",
       "                                         Press_kPa  \n",
       "Weather                                             \n",
       "Clear                                        99.52  \n",
       "Cloudy                                       98.39  \n",
       "Drizzle                                      97.84  \n",
       "Drizzle,Fog                                  98.65  \n",
       "Drizzle,Ice Pellets,Fog                     100.79  \n",
       "Drizzle,Snow                                100.63  \n",
       "Drizzle,Snow,Fog                             97.79  \n",
       "Fog                                          98.31  \n",
       "Freezing Drizzle                             98.44  \n",
       "Freezing Drizzle,Fog                         98.74  \n",
       "Freezing Drizzle,Haze                       100.28  \n",
       "Freezing Drizzle,Snow                        99.19  \n",
       "Freezing Fog                                101.97  \n",
       "Freezing Rain                                98.22  \n",
       "Freezing Rain,Fog                            98.32  \n",
       "Freezing Rain,Haze                          100.34  \n",
       "Freezing Rain,Ice Pellets,Fog               100.95  \n",
       "Freezing Rain,Snow Grains                    98.56  \n",
       "Haze                                        100.35  \n",
       "Mainly Clear                                 98.67  \n",
       "Moderate Rain,Fog                            99.98  \n",
       "Moderate Snow                                99.88  \n",
       "Moderate Snow,Blowing Snow                  100.50  \n",
       "Mostly Cloudy                                98.36  \n",
       "Rain                                         97.52  \n",
       "Rain Showers                                 98.51  \n",
       "Rain Showers,Fog                             99.83  \n",
       "Rain Showers,Snow Showers                   101.09  \n",
       "Rain,Fog                                     98.61  \n",
       "Rain,Haze                                   100.50  \n",
       "Rain,Ice Pellets                            100.12  \n",
       "Rain,Snow                                    98.18  \n",
       "Rain,Snow Grains                            100.60  \n",
       "Rain,Snow,Fog                               100.73  \n",
       "Rain,Snow,Ice Pellets                        99.85  \n",
       "Snow                                         97.75  \n",
       "Snow Pellets                                 99.70  \n",
       "Snow Showers                                 99.49  \n",
       "Snow Showers,Fog                            100.63  \n",
       "Snow,Blowing Snow                            98.11  \n",
       "Snow,Fog                                     99.38  \n",
       "Snow,Haze                                   100.61  \n",
       "Snow,Ice Pellets                             99.40  \n",
       "Thunderstorms                                99.84  \n",
       "Thunderstorms,Heavy Rain Showers            100.26  \n",
       "Thunderstorms,Moderate Rain Showers,Fog     100.01  \n",
       "Thunderstorms,Rain                          100.19  \n",
       "Thunderstorms,Rain Showers                   99.65  \n",
       "Thunderstorms,Rain Showers,Fog               99.71  \n",
       "Thunderstorms,Rain,Fog                      100.08  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Weather').min(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "8ec11936",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clear</th>\n",
       "      <td>32.8</td>\n",
       "      <td>20.4</td>\n",
       "      <td>99</td>\n",
       "      <td>33</td>\n",
       "      <td>48.3</td>\n",
       "      <td>103.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloudy</th>\n",
       "      <td>30.5</td>\n",
       "      <td>22.6</td>\n",
       "      <td>99</td>\n",
       "      <td>54</td>\n",
       "      <td>48.3</td>\n",
       "      <td>103.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle</th>\n",
       "      <td>18.8</td>\n",
       "      <td>17.7</td>\n",
       "      <td>96</td>\n",
       "      <td>30</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Fog</th>\n",
       "      <td>19.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>100</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>102.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Ice Pellets,Fog</th>\n",
       "      <td>0.4</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>92</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow</th>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>95</td>\n",
       "      <td>19</td>\n",
       "      <td>11.3</td>\n",
       "      <td>101.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow,Fog</th>\n",
       "      <td>1.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>98</td>\n",
       "      <td>32</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>20.8</td>\n",
       "      <td>19.6</td>\n",
       "      <td>100</td>\n",
       "      <td>22</td>\n",
       "      <td>9.7</td>\n",
       "      <td>103.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle</th>\n",
       "      <td>-2.3</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>93</td>\n",
       "      <td>26</td>\n",
       "      <td>12.9</td>\n",
       "      <td>101.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Fog</th>\n",
       "      <td>-0.3</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>94</td>\n",
       "      <td>33</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Haze</th>\n",
       "      <td>-5.0</td>\n",
       "      <td>-7.7</td>\n",
       "      <td>83</td>\n",
       "      <td>11</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Snow</th>\n",
       "      <td>-3.3</td>\n",
       "      <td>-4.6</td>\n",
       "      <td>94</td>\n",
       "      <td>24</td>\n",
       "      <td>12.9</td>\n",
       "      <td>101.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Fog</th>\n",
       "      <td>-0.1</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>99</td>\n",
       "      <td>9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>102.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain</th>\n",
       "      <td>0.3</td>\n",
       "      <td>-1.7</td>\n",
       "      <td>92</td>\n",
       "      <td>28</td>\n",
       "      <td>16.1</td>\n",
       "      <td>101.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Fog</th>\n",
       "      <td>0.1</td>\n",
       "      <td>-0.9</td>\n",
       "      <td>93</td>\n",
       "      <td>26</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Haze</th>\n",
       "      <td>-4.9</td>\n",
       "      <td>-7.4</td>\n",
       "      <td>83</td>\n",
       "      <td>9</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Ice Pellets,Fog</th>\n",
       "      <td>-2.6</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>92</td>\n",
       "      <td>28</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Snow Grains</th>\n",
       "      <td>-5.0</td>\n",
       "      <td>-7.3</td>\n",
       "      <td>84</td>\n",
       "      <td>32</td>\n",
       "      <td>4.8</td>\n",
       "      <td>98.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haze</th>\n",
       "      <td>14.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>86</td>\n",
       "      <td>17</td>\n",
       "      <td>9.7</td>\n",
       "      <td>102.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainly Clear</th>\n",
       "      <td>33.0</td>\n",
       "      <td>21.2</td>\n",
       "      <td>99</td>\n",
       "      <td>63</td>\n",
       "      <td>48.3</td>\n",
       "      <td>103.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Rain,Fog</th>\n",
       "      <td>1.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>94</td>\n",
       "      <td>17</td>\n",
       "      <td>6.4</td>\n",
       "      <td>99.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow</th>\n",
       "      <td>-4.9</td>\n",
       "      <td>-6.7</td>\n",
       "      <td>93</td>\n",
       "      <td>39</td>\n",
       "      <td>0.8</td>\n",
       "      <td>100.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow,Blowing Snow</th>\n",
       "      <td>-5.4</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>93</td>\n",
       "      <td>41</td>\n",
       "      <td>0.6</td>\n",
       "      <td>100.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mostly Cloudy</th>\n",
       "      <td>32.4</td>\n",
       "      <td>24.4</td>\n",
       "      <td>100</td>\n",
       "      <td>83</td>\n",
       "      <td>48.3</td>\n",
       "      <td>103.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>22.8</td>\n",
       "      <td>20.4</td>\n",
       "      <td>99</td>\n",
       "      <td>52</td>\n",
       "      <td>48.3</td>\n",
       "      <td>102.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers</th>\n",
       "      <td>26.4</td>\n",
       "      <td>23.0</td>\n",
       "      <td>97</td>\n",
       "      <td>41</td>\n",
       "      <td>48.3</td>\n",
       "      <td>102.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Fog</th>\n",
       "      <td>12.8</td>\n",
       "      <td>12.1</td>\n",
       "      <td>96</td>\n",
       "      <td>13</td>\n",
       "      <td>6.4</td>\n",
       "      <td>99.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Snow Showers</th>\n",
       "      <td>2.2</td>\n",
       "      <td>-1.2</td>\n",
       "      <td>78</td>\n",
       "      <td>28</td>\n",
       "      <td>24.1</td>\n",
       "      <td>101.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Fog</th>\n",
       "      <td>21.7</td>\n",
       "      <td>19.5</td>\n",
       "      <td>100</td>\n",
       "      <td>46</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Haze</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.9</td>\n",
       "      <td>86</td>\n",
       "      <td>17</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Ice Pellets</th>\n",
       "      <td>0.6</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>92</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow</th>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>94</td>\n",
       "      <td>52</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow Grains</th>\n",
       "      <td>1.9</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>75</td>\n",
       "      <td>26</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Fog</th>\n",
       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>96</td>\n",
       "      <td>9</td>\n",
       "      <td>6.4</td>\n",
       "      <td>100.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Ice Pellets</th>\n",
       "      <td>1.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>94</td>\n",
       "      <td>28</td>\n",
       "      <td>6.4</td>\n",
       "      <td>100.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>3.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>96</td>\n",
       "      <td>57</td>\n",
       "      <td>25.0</td>\n",
       "      <td>102.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Pellets</th>\n",
       "      <td>0.7</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>59</td>\n",
       "      <td>35</td>\n",
       "      <td>2.4</td>\n",
       "      <td>99.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers</th>\n",
       "      <td>2.9</td>\n",
       "      <td>-0.7</td>\n",
       "      <td>94</td>\n",
       "      <td>37</td>\n",
       "      <td>48.3</td>\n",
       "      <td>102.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers,Fog</th>\n",
       "      <td>-10.0</td>\n",
       "      <td>-11.1</td>\n",
       "      <td>92</td>\n",
       "      <td>22</td>\n",
       "      <td>9.7</td>\n",
       "      <td>102.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Blowing Snow</th>\n",
       "      <td>-1.4</td>\n",
       "      <td>-2.9</td>\n",
       "      <td>91</td>\n",
       "      <td>48</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Fog</th>\n",
       "      <td>1.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>99</td>\n",
       "      <td>35</td>\n",
       "      <td>9.7</td>\n",
       "      <td>102.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Haze</th>\n",
       "      <td>-3.6</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>81</td>\n",
       "      <td>15</td>\n",
       "      <td>6.4</td>\n",
       "      <td>100.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Ice Pellets</th>\n",
       "      <td>0.8</td>\n",
       "      <td>-1.7</td>\n",
       "      <td>92</td>\n",
       "      <td>33</td>\n",
       "      <td>11.3</td>\n",
       "      <td>100.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms</th>\n",
       "      <td>26.7</td>\n",
       "      <td>20.1</td>\n",
       "      <td>87</td>\n",
       "      <td>15</td>\n",
       "      <td>25.0</td>\n",
       "      <td>100.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Heavy Rain Showers</th>\n",
       "      <td>10.9</td>\n",
       "      <td>9.0</td>\n",
       "      <td>88</td>\n",
       "      <td>9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>100.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Moderate Rain Showers,Fog</th>\n",
       "      <td>19.6</td>\n",
       "      <td>18.5</td>\n",
       "      <td>93</td>\n",
       "      <td>15</td>\n",
       "      <td>3.2</td>\n",
       "      <td>100.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain</th>\n",
       "      <td>21.3</td>\n",
       "      <td>19.1</td>\n",
       "      <td>93</td>\n",
       "      <td>30</td>\n",
       "      <td>24.1</td>\n",
       "      <td>100.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <td>25.5</td>\n",
       "      <td>23.1</td>\n",
       "      <td>98</td>\n",
       "      <td>32</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers,Fog</th>\n",
       "      <td>22.9</td>\n",
       "      <td>21.3</td>\n",
       "      <td>91</td>\n",
       "      <td>35</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <td>20.6</td>\n",
       "      <td>18.6</td>\n",
       "      <td>88</td>\n",
       "      <td>19</td>\n",
       "      <td>4.8</td>\n",
       "      <td>100.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Temp_C  Dew Point Temp_C  Rel Hum_%  \\\n",
       "Weather                                                                        \n",
       "Clear                                      32.8              20.4         99   \n",
       "Cloudy                                     30.5              22.6         99   \n",
       "Drizzle                                    18.8              17.7         96   \n",
       "Drizzle,Fog                                19.9              19.1        100   \n",
       "Drizzle,Ice Pellets,Fog                     0.4              -0.7         92   \n",
       "Drizzle,Snow                                1.2               0.2         95   \n",
       "Drizzle,Snow,Fog                            1.1               0.6         98   \n",
       "Fog                                        20.8              19.6        100   \n",
       "Freezing Drizzle                           -2.3              -3.3         93   \n",
       "Freezing Drizzle,Fog                       -0.3              -2.3         94   \n",
       "Freezing Drizzle,Haze                      -5.0              -7.7         83   \n",
       "Freezing Drizzle,Snow                      -3.3              -4.6         94   \n",
       "Freezing Fog                               -0.1              -0.3         99   \n",
       "Freezing Rain                               0.3              -1.7         92   \n",
       "Freezing Rain,Fog                           0.1              -0.9         93   \n",
       "Freezing Rain,Haze                         -4.9              -7.4         83   \n",
       "Freezing Rain,Ice Pellets,Fog              -2.6              -3.7         92   \n",
       "Freezing Rain,Snow Grains                  -5.0              -7.3         84   \n",
       "Haze                                       14.1              11.1         86   \n",
       "Mainly Clear                               33.0              21.2         99   \n",
       "Moderate Rain,Fog                           1.7               0.8         94   \n",
       "Moderate Snow                              -4.9              -6.7         93   \n",
       "Moderate Snow,Blowing Snow                 -5.4              -6.4         93   \n",
       "Mostly Cloudy                              32.4              24.4        100   \n",
       "Rain                                       22.8              20.4         99   \n",
       "Rain Showers                               26.4              23.0         97   \n",
       "Rain Showers,Fog                           12.8              12.1         96   \n",
       "Rain Showers,Snow Showers                   2.2              -1.2         78   \n",
       "Rain,Fog                                   21.7              19.5        100   \n",
       "Rain,Haze                                   5.5               2.9         86   \n",
       "Rain,Ice Pellets                            0.6              -0.6         92   \n",
       "Rain,Snow                                   1.7               0.5         94   \n",
       "Rain,Snow Grains                            1.9              -2.1         75   \n",
       "Rain,Snow,Fog                               0.8               0.3         96   \n",
       "Rain,Snow,Ice Pellets                       1.3               0.1         94   \n",
       "Snow                                        3.7               0.3         96   \n",
       "Snow Pellets                                0.7              -6.4         59   \n",
       "Snow Showers                                2.9              -0.7         94   \n",
       "Snow Showers,Fog                          -10.0             -11.1         92   \n",
       "Snow,Blowing Snow                          -1.4              -2.9         91   \n",
       "Snow,Fog                                    1.1               0.8         99   \n",
       "Snow,Haze                                  -3.6              -6.4         81   \n",
       "Snow,Ice Pellets                            0.8              -1.7         92   \n",
       "Thunderstorms                              26.7              20.1         87   \n",
       "Thunderstorms,Heavy Rain Showers           10.9               9.0         88   \n",
       "Thunderstorms,Moderate Rain Showers,Fog    19.6              18.5         93   \n",
       "Thunderstorms,Rain                         21.3              19.1         93   \n",
       "Thunderstorms,Rain Showers                 25.5              23.1         98   \n",
       "Thunderstorms,Rain Showers,Fog             22.9              21.3         91   \n",
       "Thunderstorms,Rain,Fog                     20.6              18.6         88   \n",
       "\n",
       "                                         Wind Speed_km/h  Visibility_km  \\\n",
       "Weather                                                                   \n",
       "Clear                                                 33           48.3   \n",
       "Cloudy                                                54           48.3   \n",
       "Drizzle                                               30           25.0   \n",
       "Drizzle,Fog                                           28            9.7   \n",
       "Drizzle,Ice Pellets,Fog                               20            4.0   \n",
       "Drizzle,Snow                                          19           11.3   \n",
       "Drizzle,Snow,Fog                                      32            9.7   \n",
       "Fog                                                   22            9.7   \n",
       "Freezing Drizzle                                      26           12.9   \n",
       "Freezing Drizzle,Fog                                  33            8.0   \n",
       "Freezing Drizzle,Haze                                 11            4.0   \n",
       "Freezing Drizzle,Snow                                 24           12.9   \n",
       "Freezing Fog                                           9            0.8   \n",
       "Freezing Rain                                         28           16.1   \n",
       "Freezing Rain,Fog                                     26            9.7   \n",
       "Freezing Rain,Haze                                     9            2.8   \n",
       "Freezing Rain,Ice Pellets,Fog                         28            8.0   \n",
       "Freezing Rain,Snow Grains                             32            4.8   \n",
       "Haze                                                  17            9.7   \n",
       "Mainly Clear                                          63           48.3   \n",
       "Moderate Rain,Fog                                     17            6.4   \n",
       "Moderate Snow                                         39            0.8   \n",
       "Moderate Snow,Blowing Snow                            41            0.6   \n",
       "Mostly Cloudy                                         83           48.3   \n",
       "Rain                                                  52           48.3   \n",
       "Rain Showers                                          41           48.3   \n",
       "Rain Showers,Fog                                      13            6.4   \n",
       "Rain Showers,Snow Showers                             28           24.1   \n",
       "Rain,Fog                                              46            9.7   \n",
       "Rain,Haze                                             17            9.7   \n",
       "Rain,Ice Pellets                                      24            9.7   \n",
       "Rain,Snow                                             52           25.0   \n",
       "Rain,Snow Grains                                      26           25.0   \n",
       "Rain,Snow,Fog                                          9            6.4   \n",
       "Rain,Snow,Ice Pellets                                 28            6.4   \n",
       "Snow                                                  57           25.0   \n",
       "Snow Pellets                                          35            2.4   \n",
       "Snow Showers                                          37           48.3   \n",
       "Snow Showers,Fog                                      22            9.7   \n",
       "Snow,Blowing Snow                                     48            9.7   \n",
       "Snow,Fog                                              35            9.7   \n",
       "Snow,Haze                                             15            6.4   \n",
       "Snow,Ice Pellets                                      33           11.3   \n",
       "Thunderstorms                                         15           25.0   \n",
       "Thunderstorms,Heavy Rain Showers                       9            2.4   \n",
       "Thunderstorms,Moderate Rain Showers,Fog               15            3.2   \n",
       "Thunderstorms,Rain                                    30           24.1   \n",
       "Thunderstorms,Rain Showers                            32           25.0   \n",
       "Thunderstorms,Rain Showers,Fog                        35            9.7   \n",
       "Thunderstorms,Rain,Fog                                19            4.8   \n",
       "\n",
       "                                         Press_kPa  \n",
       "Weather                                             \n",
       "Clear                                       103.63  \n",
       "Cloudy                                      103.65  \n",
       "Drizzle                                     101.56  \n",
       "Drizzle,Fog                                 102.07  \n",
       "Drizzle,Ice Pellets,Fog                     100.79  \n",
       "Drizzle,Snow                                101.15  \n",
       "Drizzle,Snow,Fog                            100.15  \n",
       "Fog                                         103.04  \n",
       "Freezing Drizzle                            101.02  \n",
       "Freezing Drizzle,Fog                        101.27  \n",
       "Freezing Drizzle,Haze                       100.36  \n",
       "Freezing Drizzle,Snow                       101.18  \n",
       "Freezing Fog                                102.85  \n",
       "Freezing Rain                               101.00  \n",
       "Freezing Rain,Fog                           101.01  \n",
       "Freezing Rain,Haze                          100.41  \n",
       "Freezing Rain,Ice Pellets,Fog               100.95  \n",
       "Freezing Rain,Snow Grains                    98.56  \n",
       "Haze                                        102.97  \n",
       "Mainly Clear                                103.59  \n",
       "Moderate Rain,Fog                            99.98  \n",
       "Moderate Snow                               100.67  \n",
       "Moderate Snow,Blowing Snow                  100.64  \n",
       "Mostly Cloudy                               103.65  \n",
       "Rain                                        102.26  \n",
       "Rain Showers                                102.31  \n",
       "Rain Showers,Fog                             99.83  \n",
       "Rain Showers,Snow Showers                   101.11  \n",
       "Rain,Fog                                    101.77  \n",
       "Rain,Haze                                   100.61  \n",
       "Rain,Ice Pellets                            100.12  \n",
       "Rain,Snow                                   101.07  \n",
       "Rain,Snow Grains                            100.60  \n",
       "Rain,Snow,Fog                               100.73  \n",
       "Rain,Snow,Ice Pellets                       100.47  \n",
       "Snow                                        102.73  \n",
       "Snow Pellets                                 99.70  \n",
       "Snow Showers                                102.50  \n",
       "Snow Showers,Fog                            102.52  \n",
       "Snow,Blowing Snow                           100.62  \n",
       "Snow,Fog                                    102.07  \n",
       "Snow,Haze                                   100.99  \n",
       "Snow,Ice Pellets                            100.96  \n",
       "Thunderstorms                               100.62  \n",
       "Thunderstorms,Heavy Rain Showers            100.26  \n",
       "Thunderstorms,Moderate Rain Showers,Fog     100.01  \n",
       "Thunderstorms,Rain                          100.83  \n",
       "Thunderstorms,Rain Showers                  101.06  \n",
       "Thunderstorms,Rain Showers,Fog              100.64  \n",
       "Thunderstorms,Rain,Fog                      100.08  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Weather').max(numeric_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "53f4873c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Temp_C</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Dew Point Temp_C</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Visibility_km</th>\n",
       "      <th colspan=\"8\" halign=\"left\">Press_kPa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>...</th>\n",
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       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Clear</th>\n",
       "      <td>1326.0</td>\n",
       "      <td>6.825716</td>\n",
       "      <td>12.132015</td>\n",
       "      <td>-23.3</td>\n",
       "      <td>-3.100</td>\n",
       "      <td>7.50</td>\n",
       "      <td>17.275</td>\n",
       "      <td>32.8</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.089367</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000</td>\n",
       "      <td>48.3</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>101.587443</td>\n",
       "      <td>0.668658</td>\n",
       "      <td>99.52</td>\n",
       "      <td>101.1100</td>\n",
       "      <td>101.560</td>\n",
       "      <td>101.9700</td>\n",
       "      <td>103.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cloudy</th>\n",
       "      <td>1728.0</td>\n",
       "      <td>7.970544</td>\n",
       "      <td>11.000283</td>\n",
       "      <td>-21.4</td>\n",
       "      <td>0.400</td>\n",
       "      <td>7.35</td>\n",
       "      <td>17.000</td>\n",
       "      <td>30.5</td>\n",
       "      <td>1728.0</td>\n",
       "      <td>2.375810</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000</td>\n",
       "      <td>48.3</td>\n",
       "      <td>1728.0</td>\n",
       "      <td>100.911441</td>\n",
       "      <td>0.813979</td>\n",
       "      <td>98.39</td>\n",
       "      <td>100.4000</td>\n",
       "      <td>100.900</td>\n",
       "      <td>101.4000</td>\n",
       "      <td>103.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle</th>\n",
       "      <td>41.0</td>\n",
       "      <td>7.353659</td>\n",
       "      <td>5.297126</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.300</td>\n",
       "      <td>5.40</td>\n",
       "      <td>11.100</td>\n",
       "      <td>18.8</td>\n",
       "      <td>41.0</td>\n",
       "      <td>5.504878</td>\n",
       "      <td>...</td>\n",
       "      <td>24.100</td>\n",
       "      <td>25.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>100.435366</td>\n",
       "      <td>0.710785</td>\n",
       "      <td>97.84</td>\n",
       "      <td>100.2200</td>\n",
       "      <td>100.610</td>\n",
       "      <td>100.9200</td>\n",
       "      <td>101.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Fog</th>\n",
       "      <td>80.0</td>\n",
       "      <td>8.067500</td>\n",
       "      <td>4.970286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.650</td>\n",
       "      <td>9.15</td>\n",
       "      <td>12.650</td>\n",
       "      <td>19.9</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.033750</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000</td>\n",
       "      <td>9.7</td>\n",
       "      <td>80.0</td>\n",
       "      <td>100.786625</td>\n",
       "      <td>0.803076</td>\n",
       "      <td>98.65</td>\n",
       "      <td>100.3675</td>\n",
       "      <td>100.765</td>\n",
       "      <td>101.3825</td>\n",
       "      <td>102.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Ice Pellets,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.790000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.79</td>\n",
       "      <td>100.7900</td>\n",
       "      <td>100.790</td>\n",
       "      <td>100.7900</td>\n",
       "      <td>100.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.050000</td>\n",
       "      <td>0.212132</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.975</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.125</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>...</td>\n",
       "      <td>10.900</td>\n",
       "      <td>11.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.890000</td>\n",
       "      <td>0.367696</td>\n",
       "      <td>100.63</td>\n",
       "      <td>100.7600</td>\n",
       "      <td>100.890</td>\n",
       "      <td>101.0200</td>\n",
       "      <td>101.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drizzle,Snow,Fog</th>\n",
       "      <td>15.0</td>\n",
       "      <td>0.693333</td>\n",
       "      <td>0.317280</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.050</td>\n",
       "      <td>1.1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000</td>\n",
       "      <td>9.7</td>\n",
       "      <td>15.0</td>\n",
       "      <td>99.281333</td>\n",
       "      <td>0.905056</td>\n",
       "      <td>97.79</td>\n",
       "      <td>98.7550</td>\n",
       "      <td>99.650</td>\n",
       "      <td>99.8450</td>\n",
       "      <td>100.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fog</th>\n",
       "      <td>150.0</td>\n",
       "      <td>4.303333</td>\n",
       "      <td>8.038802</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-0.650</td>\n",
       "      <td>2.65</td>\n",
       "      <td>11.650</td>\n",
       "      <td>20.8</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3.159333</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>9.7</td>\n",
       "      <td>150.0</td>\n",
       "      <td>101.184067</td>\n",
       "      <td>0.877428</td>\n",
       "      <td>98.31</td>\n",
       "      <td>100.6725</td>\n",
       "      <td>101.245</td>\n",
       "      <td>101.6625</td>\n",
       "      <td>103.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle</th>\n",
       "      <td>7.0</td>\n",
       "      <td>-5.657143</td>\n",
       "      <td>2.024728</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-6.300</td>\n",
       "      <td>-5.50</td>\n",
       "      <td>-5.100</td>\n",
       "      <td>-2.3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>11.300</td>\n",
       "      <td>12.9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>100.202857</td>\n",
       "      <td>0.854726</td>\n",
       "      <td>98.44</td>\n",
       "      <td>100.0650</td>\n",
       "      <td>100.420</td>\n",
       "      <td>100.7050</td>\n",
       "      <td>101.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Fog</th>\n",
       "      <td>6.0</td>\n",
       "      <td>-2.533333</td>\n",
       "      <td>2.122891</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>-2.950</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>-1.575</td>\n",
       "      <td>-0.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-4.183333</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.441667</td>\n",
       "      <td>0.944784</td>\n",
       "      <td>98.74</td>\n",
       "      <td>100.2125</td>\n",
       "      <td>100.640</td>\n",
       "      <td>101.1275</td>\n",
       "      <td>101.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Haze</th>\n",
       "      <td>3.0</td>\n",
       "      <td>-5.433333</td>\n",
       "      <td>0.404145</td>\n",
       "      <td>-5.8</td>\n",
       "      <td>-5.650</td>\n",
       "      <td>-5.50</td>\n",
       "      <td>-5.250</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.316667</td>\n",
       "      <td>0.040415</td>\n",
       "      <td>100.28</td>\n",
       "      <td>100.2950</td>\n",
       "      <td>100.310</td>\n",
       "      <td>100.3350</td>\n",
       "      <td>100.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Drizzle,Snow</th>\n",
       "      <td>11.0</td>\n",
       "      <td>-5.109091</td>\n",
       "      <td>1.705552</td>\n",
       "      <td>-8.3</td>\n",
       "      <td>-6.000</td>\n",
       "      <td>-4.40</td>\n",
       "      <td>-4.000</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-7.072727</td>\n",
       "      <td>...</td>\n",
       "      <td>7.200</td>\n",
       "      <td>12.9</td>\n",
       "      <td>11.0</td>\n",
       "      <td>100.520909</td>\n",
       "      <td>0.667959</td>\n",
       "      <td>99.19</td>\n",
       "      <td>100.6350</td>\n",
       "      <td>100.750</td>\n",
       "      <td>100.8450</td>\n",
       "      <td>101.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Fog</th>\n",
       "      <td>4.0</td>\n",
       "      <td>-7.575000</td>\n",
       "      <td>9.214255</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>-13.075</td>\n",
       "      <td>-5.60</td>\n",
       "      <td>-0.100</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-9.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>102.320000</td>\n",
       "      <td>0.374789</td>\n",
       "      <td>101.97</td>\n",
       "      <td>102.1425</td>\n",
       "      <td>102.230</td>\n",
       "      <td>102.4075</td>\n",
       "      <td>102.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain</th>\n",
       "      <td>14.0</td>\n",
       "      <td>-3.885714</td>\n",
       "      <td>2.112183</td>\n",
       "      <td>-6.5</td>\n",
       "      <td>-5.475</td>\n",
       "      <td>-4.80</td>\n",
       "      <td>-2.375</td>\n",
       "      <td>0.3</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-6.078571</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>16.1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>99.647143</td>\n",
       "      <td>0.894861</td>\n",
       "      <td>98.22</td>\n",
       "      <td>98.7775</td>\n",
       "      <td>99.840</td>\n",
       "      <td>100.3375</td>\n",
       "      <td>101.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Fog</th>\n",
       "      <td>4.0</td>\n",
       "      <td>-2.225000</td>\n",
       "      <td>2.772935</td>\n",
       "      <td>-6.1</td>\n",
       "      <td>-3.250</td>\n",
       "      <td>-1.45</td>\n",
       "      <td>-0.425</td>\n",
       "      <td>0.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-3.750000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>9.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>99.945000</td>\n",
       "      <td>1.146429</td>\n",
       "      <td>98.32</td>\n",
       "      <td>99.6925</td>\n",
       "      <td>100.225</td>\n",
       "      <td>100.4775</td>\n",
       "      <td>101.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Haze</th>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>-4.900</td>\n",
       "      <td>-4.90</td>\n",
       "      <td>-4.900</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-7.450000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.600</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.375000</td>\n",
       "      <td>0.049497</td>\n",
       "      <td>100.34</td>\n",
       "      <td>100.3575</td>\n",
       "      <td>100.375</td>\n",
       "      <td>100.3925</td>\n",
       "      <td>100.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Ice Pellets,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>-2.600</td>\n",
       "      <td>-2.60</td>\n",
       "      <td>-2.600</td>\n",
       "      <td>-2.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.950000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.95</td>\n",
       "      <td>100.9500</td>\n",
       "      <td>100.950</td>\n",
       "      <td>100.9500</td>\n",
       "      <td>100.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freezing Rain,Snow Grains</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-5.000</td>\n",
       "      <td>-5.00</td>\n",
       "      <td>-5.000</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.800</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.560000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.56</td>\n",
       "      <td>98.5600</td>\n",
       "      <td>98.560</td>\n",
       "      <td>98.5600</td>\n",
       "      <td>98.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haze</th>\n",
       "      <td>16.0</td>\n",
       "      <td>-0.200000</td>\n",
       "      <td>6.292535</td>\n",
       "      <td>-11.5</td>\n",
       "      <td>-2.625</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>2.950</td>\n",
       "      <td>14.1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-2.975000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>9.7</td>\n",
       "      <td>16.0</td>\n",
       "      <td>101.482500</td>\n",
       "      <td>0.907160</td>\n",
       "      <td>100.35</td>\n",
       "      <td>100.7175</td>\n",
       "      <td>101.120</td>\n",
       "      <td>102.1375</td>\n",
       "      <td>102.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mainly Clear</th>\n",
       "      <td>2106.0</td>\n",
       "      <td>12.558927</td>\n",
       "      <td>12.348807</td>\n",
       "      <td>-22.8</td>\n",
       "      <td>3.125</td>\n",
       "      <td>15.80</td>\n",
       "      <td>22.400</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>4.581671</td>\n",
       "      <td>...</td>\n",
       "      <td>48.300</td>\n",
       "      <td>48.3</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>101.248832</td>\n",
       "      <td>0.701775</td>\n",
       "      <td>98.67</td>\n",
       "      <td>100.7800</td>\n",
       "      <td>101.250</td>\n",
       "      <td>101.6700</td>\n",
       "      <td>103.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Rain,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.700</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.700</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.400</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.980000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.98</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>99.980</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>99.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow</th>\n",
       "      <td>4.0</td>\n",
       "      <td>-5.525000</td>\n",
       "      <td>0.613052</td>\n",
       "      <td>-6.3</td>\n",
       "      <td>-5.850</td>\n",
       "      <td>-5.45</td>\n",
       "      <td>-5.125</td>\n",
       "      <td>-4.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-7.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.275000</td>\n",
       "      <td>0.444710</td>\n",
       "      <td>99.88</td>\n",
       "      <td>99.8950</td>\n",
       "      <td>100.275</td>\n",
       "      <td>100.6550</td>\n",
       "      <td>100.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moderate Snow,Blowing Snow</th>\n",
       "      <td>2.0</td>\n",
       "      <td>-5.450000</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>-5.5</td>\n",
       "      <td>-5.475</td>\n",
       "      <td>-5.45</td>\n",
       "      <td>-5.425</td>\n",
       "      <td>-5.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-6.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.570000</td>\n",
       "      <td>0.098995</td>\n",
       "      <td>100.50</td>\n",
       "      <td>100.5350</td>\n",
       "      <td>100.570</td>\n",
       "      <td>100.6050</td>\n",
       "      <td>100.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mostly Cloudy</th>\n",
       "      <td>2069.0</td>\n",
       "      <td>10.574287</td>\n",
       "      <td>11.312839</td>\n",
       "      <td>-23.2</td>\n",
       "      <td>2.200</td>\n",
       "      <td>11.80</td>\n",
       "      <td>20.200</td>\n",
       "      <td>32.4</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>3.131174</td>\n",
       "      <td>...</td>\n",
       "      <td>48.300</td>\n",
       "      <td>48.3</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>101.025288</td>\n",
       "      <td>0.786758</td>\n",
       "      <td>98.36</td>\n",
       "      <td>100.5400</td>\n",
       "      <td>101.030</td>\n",
       "      <td>101.5200</td>\n",
       "      <td>103.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain</th>\n",
       "      <td>306.0</td>\n",
       "      <td>9.786275</td>\n",
       "      <td>6.404164</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3.800</td>\n",
       "      <td>8.90</td>\n",
       "      <td>15.375</td>\n",
       "      <td>22.8</td>\n",
       "      <td>306.0</td>\n",
       "      <td>7.042810</td>\n",
       "      <td>...</td>\n",
       "      <td>24.100</td>\n",
       "      <td>48.3</td>\n",
       "      <td>306.0</td>\n",
       "      <td>100.233333</td>\n",
       "      <td>0.788261</td>\n",
       "      <td>97.52</td>\n",
       "      <td>99.7400</td>\n",
       "      <td>100.330</td>\n",
       "      <td>100.7500</td>\n",
       "      <td>102.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers</th>\n",
       "      <td>188.0</td>\n",
       "      <td>13.722340</td>\n",
       "      <td>6.977575</td>\n",
       "      <td>1.6</td>\n",
       "      <td>6.900</td>\n",
       "      <td>14.95</td>\n",
       "      <td>19.325</td>\n",
       "      <td>26.4</td>\n",
       "      <td>188.0</td>\n",
       "      <td>9.187766</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000</td>\n",
       "      <td>48.3</td>\n",
       "      <td>188.0</td>\n",
       "      <td>100.404043</td>\n",
       "      <td>0.766391</td>\n",
       "      <td>98.51</td>\n",
       "      <td>99.9000</td>\n",
       "      <td>100.495</td>\n",
       "      <td>100.9275</td>\n",
       "      <td>102.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>12.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.8</td>\n",
       "      <td>12.800</td>\n",
       "      <td>12.80</td>\n",
       "      <td>12.800</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.400</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.830000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.83</td>\n",
       "      <td>99.8300</td>\n",
       "      <td>99.830</td>\n",
       "      <td>99.8300</td>\n",
       "      <td>99.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain Showers,Snow Showers</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.125</td>\n",
       "      <td>2.15</td>\n",
       "      <td>2.175</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>22.900</td>\n",
       "      <td>24.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>101.100000</td>\n",
       "      <td>0.014142</td>\n",
       "      <td>101.09</td>\n",
       "      <td>101.0950</td>\n",
       "      <td>101.100</td>\n",
       "      <td>101.1050</td>\n",
       "      <td>101.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Fog</th>\n",
       "      <td>116.0</td>\n",
       "      <td>8.273276</td>\n",
       "      <td>6.037209</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.200</td>\n",
       "      <td>7.90</td>\n",
       "      <td>11.625</td>\n",
       "      <td>21.7</td>\n",
       "      <td>116.0</td>\n",
       "      <td>7.219828</td>\n",
       "      <td>...</td>\n",
       "      <td>8.425</td>\n",
       "      <td>9.7</td>\n",
       "      <td>116.0</td>\n",
       "      <td>100.500862</td>\n",
       "      <td>0.618777</td>\n",
       "      <td>98.61</td>\n",
       "      <td>100.1450</td>\n",
       "      <td>100.555</td>\n",
       "      <td>100.9025</td>\n",
       "      <td>101.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Haze</th>\n",
       "      <td>3.0</td>\n",
       "      <td>4.633333</td>\n",
       "      <td>0.776745</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.200</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.950</td>\n",
       "      <td>5.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>8.050</td>\n",
       "      <td>9.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.540000</td>\n",
       "      <td>0.060828</td>\n",
       "      <td>100.50</td>\n",
       "      <td>100.5050</td>\n",
       "      <td>100.510</td>\n",
       "      <td>100.5600</td>\n",
       "      <td>100.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Ice Pellets</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>9.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.120000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.12</td>\n",
       "      <td>100.1200</td>\n",
       "      <td>100.120</td>\n",
       "      <td>100.1200</td>\n",
       "      <td>100.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.055556</td>\n",
       "      <td>0.279121</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.200</td>\n",
       "      <td>1.7</td>\n",
       "      <td>18.0</td>\n",
       "      <td>-0.566667</td>\n",
       "      <td>...</td>\n",
       "      <td>14.900</td>\n",
       "      <td>25.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>99.951111</td>\n",
       "      <td>0.724292</td>\n",
       "      <td>98.18</td>\n",
       "      <td>99.4925</td>\n",
       "      <td>99.820</td>\n",
       "      <td>100.3425</td>\n",
       "      <td>101.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow Grains</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.900</td>\n",
       "      <td>1.90</td>\n",
       "      <td>1.900</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-2.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.60</td>\n",
       "      <td>100.6000</td>\n",
       "      <td>100.600</td>\n",
       "      <td>100.6000</td>\n",
       "      <td>100.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.400</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.730000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.73</td>\n",
       "      <td>100.7300</td>\n",
       "      <td>100.730</td>\n",
       "      <td>100.7300</td>\n",
       "      <td>100.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain,Snow,Ice Pellets</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>0.163299</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.050</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.150</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-0.175000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.400</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.105000</td>\n",
       "      <td>0.267145</td>\n",
       "      <td>99.85</td>\n",
       "      <td>99.9475</td>\n",
       "      <td>100.050</td>\n",
       "      <td>100.2075</td>\n",
       "      <td>100.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow</th>\n",
       "      <td>390.0</td>\n",
       "      <td>-4.524103</td>\n",
       "      <td>4.155435</td>\n",
       "      <td>-16.7</td>\n",
       "      <td>-7.000</td>\n",
       "      <td>-4.80</td>\n",
       "      <td>-1.100</td>\n",
       "      <td>3.7</td>\n",
       "      <td>390.0</td>\n",
       "      <td>-7.623333</td>\n",
       "      <td>...</td>\n",
       "      <td>19.300</td>\n",
       "      <td>25.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>100.536103</td>\n",
       "      <td>1.002490</td>\n",
       "      <td>97.75</td>\n",
       "      <td>100.0500</td>\n",
       "      <td>100.625</td>\n",
       "      <td>101.2000</td>\n",
       "      <td>102.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Pellets</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.400</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.70</td>\n",
       "      <td>99.7000</td>\n",
       "      <td>99.700</td>\n",
       "      <td>99.7000</td>\n",
       "      <td>99.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers</th>\n",
       "      <td>60.0</td>\n",
       "      <td>-3.506667</td>\n",
       "      <td>4.322776</td>\n",
       "      <td>-13.3</td>\n",
       "      <td>-6.850</td>\n",
       "      <td>-3.70</td>\n",
       "      <td>0.725</td>\n",
       "      <td>2.9</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-7.866667</td>\n",
       "      <td>...</td>\n",
       "      <td>25.000</td>\n",
       "      <td>48.3</td>\n",
       "      <td>60.0</td>\n",
       "      <td>100.963500</td>\n",
       "      <td>0.825917</td>\n",
       "      <td>99.49</td>\n",
       "      <td>100.3250</td>\n",
       "      <td>100.980</td>\n",
       "      <td>101.4425</td>\n",
       "      <td>102.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow Showers,Fog</th>\n",
       "      <td>4.0</td>\n",
       "      <td>-10.675000</td>\n",
       "      <td>0.556028</td>\n",
       "      <td>-11.3</td>\n",
       "      <td>-11.000</td>\n",
       "      <td>-10.70</td>\n",
       "      <td>-10.375</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-11.900000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.425</td>\n",
       "      <td>9.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.292500</td>\n",
       "      <td>0.840253</td>\n",
       "      <td>100.63</td>\n",
       "      <td>100.8550</td>\n",
       "      <td>101.010</td>\n",
       "      <td>101.4475</td>\n",
       "      <td>102.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Blowing Snow</th>\n",
       "      <td>19.0</td>\n",
       "      <td>-5.410526</td>\n",
       "      <td>2.854995</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-5.650</td>\n",
       "      <td>-5.00</td>\n",
       "      <td>-4.100</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>19.0</td>\n",
       "      <td>-7.621053</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000</td>\n",
       "      <td>9.7</td>\n",
       "      <td>19.0</td>\n",
       "      <td>99.704737</td>\n",
       "      <td>0.838871</td>\n",
       "      <td>98.11</td>\n",
       "      <td>99.1650</td>\n",
       "      <td>100.010</td>\n",
       "      <td>100.4050</td>\n",
       "      <td>100.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Fog</th>\n",
       "      <td>37.0</td>\n",
       "      <td>-5.075676</td>\n",
       "      <td>4.668714</td>\n",
       "      <td>-10.1</td>\n",
       "      <td>-9.300</td>\n",
       "      <td>-7.40</td>\n",
       "      <td>0.400</td>\n",
       "      <td>1.1</td>\n",
       "      <td>37.0</td>\n",
       "      <td>-6.364865</td>\n",
       "      <td>...</td>\n",
       "      <td>6.400</td>\n",
       "      <td>9.7</td>\n",
       "      <td>37.0</td>\n",
       "      <td>100.688649</td>\n",
       "      <td>0.584476</td>\n",
       "      <td>99.38</td>\n",
       "      <td>100.2800</td>\n",
       "      <td>100.600</td>\n",
       "      <td>101.2500</td>\n",
       "      <td>102.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Haze</th>\n",
       "      <td>5.0</td>\n",
       "      <td>-4.020000</td>\n",
       "      <td>0.294958</td>\n",
       "      <td>-4.3</td>\n",
       "      <td>-4.300</td>\n",
       "      <td>-4.00</td>\n",
       "      <td>-3.900</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-6.860000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.800</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>100.782000</td>\n",
       "      <td>0.148223</td>\n",
       "      <td>100.61</td>\n",
       "      <td>100.6800</td>\n",
       "      <td>100.780</td>\n",
       "      <td>100.8500</td>\n",
       "      <td>100.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snow,Ice Pellets</th>\n",
       "      <td>6.0</td>\n",
       "      <td>-1.883333</td>\n",
       "      <td>2.017341</td>\n",
       "      <td>-4.3</td>\n",
       "      <td>-3.000</td>\n",
       "      <td>-2.55</td>\n",
       "      <td>-0.300</td>\n",
       "      <td>0.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-3.666667</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000</td>\n",
       "      <td>11.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>100.548333</td>\n",
       "      <td>0.622042</td>\n",
       "      <td>99.40</td>\n",
       "      <td>100.4075</td>\n",
       "      <td>100.885</td>\n",
       "      <td>100.9050</td>\n",
       "      <td>100.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms</th>\n",
       "      <td>2.0</td>\n",
       "      <td>24.150000</td>\n",
       "      <td>3.606245</td>\n",
       "      <td>21.6</td>\n",
       "      <td>22.875</td>\n",
       "      <td>24.15</td>\n",
       "      <td>25.425</td>\n",
       "      <td>26.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>19.750000</td>\n",
       "      <td>...</td>\n",
       "      <td>24.775</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100.230000</td>\n",
       "      <td>0.551543</td>\n",
       "      <td>99.84</td>\n",
       "      <td>100.0350</td>\n",
       "      <td>100.230</td>\n",
       "      <td>100.4250</td>\n",
       "      <td>100.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Heavy Rain Showers</th>\n",
       "      <td>1.0</td>\n",
       "      <td>10.900000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.9</td>\n",
       "      <td>10.900</td>\n",
       "      <td>10.90</td>\n",
       "      <td>10.900</td>\n",
       "      <td>10.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.400</td>\n",
       "      <td>2.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.260000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.26</td>\n",
       "      <td>100.2600</td>\n",
       "      <td>100.260</td>\n",
       "      <td>100.2600</td>\n",
       "      <td>100.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Moderate Rain Showers,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>19.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.6</td>\n",
       "      <td>19.600</td>\n",
       "      <td>19.60</td>\n",
       "      <td>19.600</td>\n",
       "      <td>19.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.200</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.010000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.01</td>\n",
       "      <td>100.0100</td>\n",
       "      <td>100.010</td>\n",
       "      <td>100.0100</td>\n",
       "      <td>100.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain</th>\n",
       "      <td>3.0</td>\n",
       "      <td>20.433333</td>\n",
       "      <td>0.960902</td>\n",
       "      <td>19.4</td>\n",
       "      <td>20.000</td>\n",
       "      <td>20.60</td>\n",
       "      <td>20.950</td>\n",
       "      <td>21.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18.533333</td>\n",
       "      <td>...</td>\n",
       "      <td>21.700</td>\n",
       "      <td>24.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.420000</td>\n",
       "      <td>0.355949</td>\n",
       "      <td>100.19</td>\n",
       "      <td>100.2150</td>\n",
       "      <td>100.240</td>\n",
       "      <td>100.5350</td>\n",
       "      <td>100.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers</th>\n",
       "      <td>16.0</td>\n",
       "      <td>20.037500</td>\n",
       "      <td>4.203947</td>\n",
       "      <td>11.0</td>\n",
       "      <td>18.550</td>\n",
       "      <td>20.85</td>\n",
       "      <td>22.725</td>\n",
       "      <td>25.5</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.618750</td>\n",
       "      <td>...</td>\n",
       "      <td>24.100</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>100.233750</td>\n",
       "      <td>0.424576</td>\n",
       "      <td>99.65</td>\n",
       "      <td>99.8475</td>\n",
       "      <td>100.205</td>\n",
       "      <td>100.5500</td>\n",
       "      <td>101.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain Showers,Fog</th>\n",
       "      <td>3.0</td>\n",
       "      <td>21.600000</td>\n",
       "      <td>1.835756</td>\n",
       "      <td>19.5</td>\n",
       "      <td>20.950</td>\n",
       "      <td>22.40</td>\n",
       "      <td>22.650</td>\n",
       "      <td>22.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.700</td>\n",
       "      <td>9.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>100.063333</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>99.71</td>\n",
       "      <td>99.7750</td>\n",
       "      <td>99.840</td>\n",
       "      <td>100.2400</td>\n",
       "      <td>100.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thunderstorms,Rain,Fog</th>\n",
       "      <td>1.0</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.6</td>\n",
       "      <td>20.600</td>\n",
       "      <td>20.60</td>\n",
       "      <td>20.600</td>\n",
       "      <td>20.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.800</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.080000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.08</td>\n",
       "      <td>100.0800</td>\n",
       "      <td>100.080</td>\n",
       "      <td>100.0800</td>\n",
       "      <td>100.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>50 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Temp_C                              \\\n",
       "                                          count       mean        std   min   \n",
       "Weather                                                                       \n",
       "Clear                                    1326.0   6.825716  12.132015 -23.3   \n",
       "Cloudy                                   1728.0   7.970544  11.000283 -21.4   \n",
       "Drizzle                                    41.0   7.353659   5.297126   1.1   \n",
       "Drizzle,Fog                                80.0   8.067500   4.970286   0.0   \n",
       "Drizzle,Ice Pellets,Fog                     1.0   0.400000        NaN   0.4   \n",
       "Drizzle,Snow                                2.0   1.050000   0.212132   0.9   \n",
       "Drizzle,Snow,Fog                           15.0   0.693333   0.317280   0.3   \n",
       "Fog                                       150.0   4.303333   8.038802 -16.0   \n",
       "Freezing Drizzle                            7.0  -5.657143   2.024728  -9.0   \n",
       "Freezing Drizzle,Fog                        6.0  -2.533333   2.122891  -6.4   \n",
       "Freezing Drizzle,Haze                       3.0  -5.433333   0.404145  -5.8   \n",
       "Freezing Drizzle,Snow                      11.0  -5.109091   1.705552  -8.3   \n",
       "Freezing Fog                                4.0  -7.575000   9.214255 -19.0   \n",
       "Freezing Rain                              14.0  -3.885714   2.112183  -6.5   \n",
       "Freezing Rain,Fog                           4.0  -2.225000   2.772935  -6.1   \n",
       "Freezing Rain,Haze                          2.0  -4.900000   0.000000  -4.9   \n",
       "Freezing Rain,Ice Pellets,Fog               1.0  -2.600000        NaN  -2.6   \n",
       "Freezing Rain,Snow Grains                   1.0  -5.000000        NaN  -5.0   \n",
       "Haze                                       16.0  -0.200000   6.292535 -11.5   \n",
       "Mainly Clear                             2106.0  12.558927  12.348807 -22.8   \n",
       "Moderate Rain,Fog                           1.0   1.700000        NaN   1.7   \n",
       "Moderate Snow                               4.0  -5.525000   0.613052  -6.3   \n",
       "Moderate Snow,Blowing Snow                  2.0  -5.450000   0.070711  -5.5   \n",
       "Mostly Cloudy                            2069.0  10.574287  11.312839 -23.2   \n",
       "Rain                                      306.0   9.786275   6.404164   0.3   \n",
       "Rain Showers                              188.0  13.722340   6.977575   1.6   \n",
       "Rain Showers,Fog                            1.0  12.800000        NaN  12.8   \n",
       "Rain Showers,Snow Showers                   2.0   2.150000   0.070711   2.1   \n",
       "Rain,Fog                                  116.0   8.273276   6.037209   0.0   \n",
       "Rain,Haze                                   3.0   4.633333   0.776745   4.0   \n",
       "Rain,Ice Pellets                            1.0   0.600000        NaN   0.6   \n",
       "Rain,Snow                                  18.0   1.055556   0.279121   0.6   \n",
       "Rain,Snow Grains                            1.0   1.900000        NaN   1.9   \n",
       "Rain,Snow,Fog                               1.0   0.800000        NaN   0.8   \n",
       "Rain,Snow,Ice Pellets                       4.0   1.100000   0.163299   0.9   \n",
       "Snow                                      390.0  -4.524103   4.155435 -16.7   \n",
       "Snow Pellets                                1.0   0.700000        NaN   0.7   \n",
       "Snow Showers                               60.0  -3.506667   4.322776 -13.3   \n",
       "Snow Showers,Fog                            4.0 -10.675000   0.556028 -11.3   \n",
       "Snow,Blowing Snow                          19.0  -5.410526   2.854995 -12.0   \n",
       "Snow,Fog                                   37.0  -5.075676   4.668714 -10.1   \n",
       "Snow,Haze                                   5.0  -4.020000   0.294958  -4.3   \n",
       "Snow,Ice Pellets                            6.0  -1.883333   2.017341  -4.3   \n",
       "Thunderstorms                               2.0  24.150000   3.606245  21.6   \n",
       "Thunderstorms,Heavy Rain Showers            1.0  10.900000        NaN  10.9   \n",
       "Thunderstorms,Moderate Rain Showers,Fog     1.0  19.600000        NaN  19.6   \n",
       "Thunderstorms,Rain                          3.0  20.433333   0.960902  19.4   \n",
       "Thunderstorms,Rain Showers                 16.0  20.037500   4.203947  11.0   \n",
       "Thunderstorms,Rain Showers,Fog              3.0  21.600000   1.835756  19.5   \n",
       "Thunderstorms,Rain,Fog                      1.0  20.600000        NaN  20.6   \n",
       "\n",
       "                                                                      \\\n",
       "                                            25%    50%     75%   max   \n",
       "Weather                                                                \n",
       "Clear                                    -3.100   7.50  17.275  32.8   \n",
       "Cloudy                                    0.400   7.35  17.000  30.5   \n",
       "Drizzle                                   2.300   5.40  11.100  18.8   \n",
       "Drizzle,Fog                               3.650   9.15  12.650  19.9   \n",
       "Drizzle,Ice Pellets,Fog                   0.400   0.40   0.400   0.4   \n",
       "Drizzle,Snow                              0.975   1.05   1.125   1.2   \n",
       "Drizzle,Snow,Fog                          0.400   0.60   1.050   1.1   \n",
       "Fog                                      -0.650   2.65  11.650  20.8   \n",
       "Freezing Drizzle                         -6.300  -5.50  -5.100  -2.3   \n",
       "Freezing Drizzle,Fog                     -2.950  -1.85  -1.575  -0.3   \n",
       "Freezing Drizzle,Haze                    -5.650  -5.50  -5.250  -5.0   \n",
       "Freezing Drizzle,Snow                    -6.000  -4.40  -4.000  -3.3   \n",
       "Freezing Fog                            -13.075  -5.60  -0.100  -0.1   \n",
       "Freezing Rain                            -5.475  -4.80  -2.375   0.3   \n",
       "Freezing Rain,Fog                        -3.250  -1.45  -0.425   0.1   \n",
       "Freezing Rain,Haze                       -4.900  -4.90  -4.900  -4.9   \n",
       "Freezing Rain,Ice Pellets,Fog            -2.600  -2.60  -2.600  -2.6   \n",
       "Freezing Rain,Snow Grains                -5.000  -5.00  -5.000  -5.0   \n",
       "Haze                                     -2.625  -0.25   2.950  14.1   \n",
       "Mainly Clear                              3.125  15.80  22.400  33.0   \n",
       "Moderate Rain,Fog                         1.700   1.70   1.700   1.7   \n",
       "Moderate Snow                            -5.850  -5.45  -5.125  -4.9   \n",
       "Moderate Snow,Blowing Snow               -5.475  -5.45  -5.425  -5.4   \n",
       "Mostly Cloudy                             2.200  11.80  20.200  32.4   \n",
       "Rain                                      3.800   8.90  15.375  22.8   \n",
       "Rain Showers                              6.900  14.95  19.325  26.4   \n",
       "Rain Showers,Fog                         12.800  12.80  12.800  12.8   \n",
       "Rain Showers,Snow Showers                 2.125   2.15   2.175   2.2   \n",
       "Rain,Fog                                  2.200   7.90  11.625  21.7   \n",
       "Rain,Haze                                 4.200   4.40   4.950   5.5   \n",
       "Rain,Ice Pellets                          0.600   0.60   0.600   0.6   \n",
       "Rain,Snow                                 0.800   1.05   1.200   1.7   \n",
       "Rain,Snow Grains                          1.900   1.90   1.900   1.9   \n",
       "Rain,Snow,Fog                             0.800   0.80   0.800   0.8   \n",
       "Rain,Snow,Ice Pellets                     1.050   1.10   1.150   1.3   \n",
       "Snow                                     -7.000  -4.80  -1.100   3.7   \n",
       "Snow Pellets                              0.700   0.70   0.700   0.7   \n",
       "Snow Showers                             -6.850  -3.70   0.725   2.9   \n",
       "Snow Showers,Fog                        -11.000 -10.70 -10.375 -10.0   \n",
       "Snow,Blowing Snow                        -5.650  -5.00  -4.100  -1.4   \n",
       "Snow,Fog                                 -9.300  -7.40   0.400   1.1   \n",
       "Snow,Haze                                -4.300  -4.00  -3.900  -3.6   \n",
       "Snow,Ice Pellets                         -3.000  -2.55  -0.300   0.8   \n",
       "Thunderstorms                            22.875  24.15  25.425  26.7   \n",
       "Thunderstorms,Heavy Rain Showers         10.900  10.90  10.900  10.9   \n",
       "Thunderstorms,Moderate Rain Showers,Fog  19.600  19.60  19.600  19.6   \n",
       "Thunderstorms,Rain                       20.000  20.60  20.950  21.3   \n",
       "Thunderstorms,Rain Showers               18.550  20.85  22.725  25.5   \n",
       "Thunderstorms,Rain Showers,Fog           20.950  22.40  22.650  22.9   \n",
       "Thunderstorms,Rain,Fog                   20.600  20.60  20.600  20.6   \n",
       "\n",
       "                                        Dew Point Temp_C             ...  \\\n",
       "                                                   count       mean  ...   \n",
       "Weather                                                              ...   \n",
       "Clear                                             1326.0   0.089367  ...   \n",
       "Cloudy                                            1728.0   2.375810  ...   \n",
       "Drizzle                                             41.0   5.504878  ...   \n",
       "Drizzle,Fog                                         80.0   7.033750  ...   \n",
       "Drizzle,Ice Pellets,Fog                              1.0  -0.700000  ...   \n",
       "Drizzle,Snow                                         2.0   0.150000  ...   \n",
       "Drizzle,Snow,Fog                                    15.0   0.120000  ...   \n",
       "Fog                                                150.0   3.159333  ...   \n",
       "Freezing Drizzle                                     7.0  -8.000000  ...   \n",
       "Freezing Drizzle,Fog                                 6.0  -4.183333  ...   \n",
       "Freezing Drizzle,Haze                                3.0  -8.000000  ...   \n",
       "Freezing Drizzle,Snow                               11.0  -7.072727  ...   \n",
       "Freezing Fog                                         4.0  -9.250000  ...   \n",
       "Freezing Rain                                       14.0  -6.078571  ...   \n",
       "Freezing Rain,Fog                                    4.0  -3.750000  ...   \n",
       "Freezing Rain,Haze                                   2.0  -7.450000  ...   \n",
       "Freezing Rain,Ice Pellets,Fog                        1.0  -3.700000  ...   \n",
       "Freezing Rain,Snow Grains                            1.0  -7.300000  ...   \n",
       "Haze                                                16.0  -2.975000  ...   \n",
       "Mainly Clear                                      2106.0   4.581671  ...   \n",
       "Moderate Rain,Fog                                    1.0   0.800000  ...   \n",
       "Moderate Snow                                        4.0  -7.250000  ...   \n",
       "Moderate Snow,Blowing Snow                           2.0  -6.500000  ...   \n",
       "Mostly Cloudy                                     2069.0   3.131174  ...   \n",
       "Rain                                               306.0   7.042810  ...   \n",
       "Rain Showers                                       188.0   9.187766  ...   \n",
       "Rain Showers,Fog                                     1.0  12.100000  ...   \n",
       "Rain Showers,Snow Showers                            2.0  -1.500000  ...   \n",
       "Rain,Fog                                           116.0   7.219828  ...   \n",
       "Rain,Haze                                            3.0   2.066667  ...   \n",
       "Rain,Ice Pellets                                     1.0  -0.600000  ...   \n",
       "Rain,Snow                                           18.0  -0.566667  ...   \n",
       "Rain,Snow Grains                                     1.0  -2.100000  ...   \n",
       "Rain,Snow,Fog                                        1.0   0.300000  ...   \n",
       "Rain,Snow,Ice Pellets                                4.0  -0.175000  ...   \n",
       "Snow                                               390.0  -7.623333  ...   \n",
       "Snow Pellets                                         1.0  -6.400000  ...   \n",
       "Snow Showers                                        60.0  -7.866667  ...   \n",
       "Snow Showers,Fog                                     4.0 -11.900000  ...   \n",
       "Snow,Blowing Snow                                   19.0  -7.621053  ...   \n",
       "Snow,Fog                                            37.0  -6.364865  ...   \n",
       "Snow,Haze                                            5.0  -6.860000  ...   \n",
       "Snow,Ice Pellets                                     6.0  -3.666667  ...   \n",
       "Thunderstorms                                        2.0  19.750000  ...   \n",
       "Thunderstorms,Heavy Rain Showers                     1.0   9.000000  ...   \n",
       "Thunderstorms,Moderate Rain Showers,Fog              1.0  18.500000  ...   \n",
       "Thunderstorms,Rain                                   3.0  18.533333  ...   \n",
       "Thunderstorms,Rain Showers                          16.0  17.618750  ...   \n",
       "Thunderstorms,Rain Showers,Fog                       3.0  18.700000  ...   \n",
       "Thunderstorms,Rain,Fog                               1.0  18.600000  ...   \n",
       "\n",
       "                                        Visibility_km       Press_kPa  \\\n",
       "                                                  75%   max     count   \n",
       "Weather                                                                 \n",
       "Clear                                          25.000  48.3    1326.0   \n",
       "Cloudy                                         25.000  48.3    1728.0   \n",
       "Drizzle                                        24.100  25.0      41.0   \n",
       "Drizzle,Fog                                     8.000   9.7      80.0   \n",
       "Drizzle,Ice Pellets,Fog                         4.000   4.0       1.0   \n",
       "Drizzle,Snow                                   10.900  11.3       2.0   \n",
       "Drizzle,Snow,Fog                                8.000   9.7      15.0   \n",
       "Fog                                             9.700   9.7     150.0   \n",
       "Freezing Drizzle                               11.300  12.9       7.0   \n",
       "Freezing Drizzle,Fog                            7.000   8.0       6.0   \n",
       "Freezing Drizzle,Haze                           3.000   4.0       3.0   \n",
       "Freezing Drizzle,Snow                           7.200  12.9      11.0   \n",
       "Freezing Fog                                    0.800   0.8       4.0   \n",
       "Freezing Rain                                   9.700  16.1      14.0   \n",
       "Freezing Rain,Fog                               9.700   9.7       4.0   \n",
       "Freezing Rain,Haze                              2.600   2.8       2.0   \n",
       "Freezing Rain,Ice Pellets,Fog                   8.000   8.0       1.0   \n",
       "Freezing Rain,Snow Grains                       4.800   4.8       1.0   \n",
       "Haze                                            9.700   9.7      16.0   \n",
       "Mainly Clear                                   48.300  48.3    2106.0   \n",
       "Moderate Rain,Fog                               6.400   6.4       1.0   \n",
       "Moderate Snow                                   0.800   0.8       4.0   \n",
       "Moderate Snow,Blowing Snow                      0.600   0.6       2.0   \n",
       "Mostly Cloudy                                  48.300  48.3    2069.0   \n",
       "Rain                                           24.100  48.3     306.0   \n",
       "Rain Showers                                   25.000  48.3     188.0   \n",
       "Rain Showers,Fog                                6.400   6.4       1.0   \n",
       "Rain Showers,Snow Showers                      22.900  24.1       2.0   \n",
       "Rain,Fog                                        8.425   9.7     116.0   \n",
       "Rain,Haze                                       8.050   9.7       3.0   \n",
       "Rain,Ice Pellets                                9.700   9.7       1.0   \n",
       "Rain,Snow                                      14.900  25.0      18.0   \n",
       "Rain,Snow Grains                               25.000  25.0       1.0   \n",
       "Rain,Snow,Fog                                   6.400   6.4       1.0   \n",
       "Rain,Snow,Ice Pellets                           6.400   6.4       4.0   \n",
       "Snow                                           19.300  25.0     390.0   \n",
       "Snow Pellets                                    2.400   2.4       1.0   \n",
       "Snow Showers                                   25.000  48.3      60.0   \n",
       "Snow Showers,Fog                                8.425   9.7       4.0   \n",
       "Snow,Blowing Snow                               8.000   9.7      19.0   \n",
       "Snow,Fog                                        6.400   9.7      37.0   \n",
       "Snow,Haze                                       4.800   6.4       5.0   \n",
       "Snow,Ice Pellets                                8.000  11.3       6.0   \n",
       "Thunderstorms                                  24.775  25.0       2.0   \n",
       "Thunderstorms,Heavy Rain Showers                2.400   2.4       1.0   \n",
       "Thunderstorms,Moderate Rain Showers,Fog         3.200   3.2       1.0   \n",
       "Thunderstorms,Rain                             21.700  24.1       3.0   \n",
       "Thunderstorms,Rain Showers                     24.100  25.0      16.0   \n",
       "Thunderstorms,Rain Showers,Fog                  9.700   9.7       3.0   \n",
       "Thunderstorms,Rain,Fog                          4.800   4.8       1.0   \n",
       "\n",
       "                                                                       \\\n",
       "                                               mean       std     min   \n",
       "Weather                                                                 \n",
       "Clear                                    101.587443  0.668658   99.52   \n",
       "Cloudy                                   100.911441  0.813979   98.39   \n",
       "Drizzle                                  100.435366  0.710785   97.84   \n",
       "Drizzle,Fog                              100.786625  0.803076   98.65   \n",
       "Drizzle,Ice Pellets,Fog                  100.790000       NaN  100.79   \n",
       "Drizzle,Snow                             100.890000  0.367696  100.63   \n",
       "Drizzle,Snow,Fog                          99.281333  0.905056   97.79   \n",
       "Fog                                      101.184067  0.877428   98.31   \n",
       "Freezing Drizzle                         100.202857  0.854726   98.44   \n",
       "Freezing Drizzle,Fog                     100.441667  0.944784   98.74   \n",
       "Freezing Drizzle,Haze                    100.316667  0.040415  100.28   \n",
       "Freezing Drizzle,Snow                    100.520909  0.667959   99.19   \n",
       "Freezing Fog                             102.320000  0.374789  101.97   \n",
       "Freezing Rain                             99.647143  0.894861   98.22   \n",
       "Freezing Rain,Fog                         99.945000  1.146429   98.32   \n",
       "Freezing Rain,Haze                       100.375000  0.049497  100.34   \n",
       "Freezing Rain,Ice Pellets,Fog            100.950000       NaN  100.95   \n",
       "Freezing Rain,Snow Grains                 98.560000       NaN   98.56   \n",
       "Haze                                     101.482500  0.907160  100.35   \n",
       "Mainly Clear                             101.248832  0.701775   98.67   \n",
       "Moderate Rain,Fog                         99.980000       NaN   99.98   \n",
       "Moderate Snow                            100.275000  0.444710   99.88   \n",
       "Moderate Snow,Blowing Snow               100.570000  0.098995  100.50   \n",
       "Mostly Cloudy                            101.025288  0.786758   98.36   \n",
       "Rain                                     100.233333  0.788261   97.52   \n",
       "Rain Showers                             100.404043  0.766391   98.51   \n",
       "Rain Showers,Fog                          99.830000       NaN   99.83   \n",
       "Rain Showers,Snow Showers                101.100000  0.014142  101.09   \n",
       "Rain,Fog                                 100.500862  0.618777   98.61   \n",
       "Rain,Haze                                100.540000  0.060828  100.50   \n",
       "Rain,Ice Pellets                         100.120000       NaN  100.12   \n",
       "Rain,Snow                                 99.951111  0.724292   98.18   \n",
       "Rain,Snow Grains                         100.600000       NaN  100.60   \n",
       "Rain,Snow,Fog                            100.730000       NaN  100.73   \n",
       "Rain,Snow,Ice Pellets                    100.105000  0.267145   99.85   \n",
       "Snow                                     100.536103  1.002490   97.75   \n",
       "Snow Pellets                              99.700000       NaN   99.70   \n",
       "Snow Showers                             100.963500  0.825917   99.49   \n",
       "Snow Showers,Fog                         101.292500  0.840253  100.63   \n",
       "Snow,Blowing Snow                         99.704737  0.838871   98.11   \n",
       "Snow,Fog                                 100.688649  0.584476   99.38   \n",
       "Snow,Haze                                100.782000  0.148223  100.61   \n",
       "Snow,Ice Pellets                         100.548333  0.622042   99.40   \n",
       "Thunderstorms                            100.230000  0.551543   99.84   \n",
       "Thunderstorms,Heavy Rain Showers         100.260000       NaN  100.26   \n",
       "Thunderstorms,Moderate Rain Showers,Fog  100.010000       NaN  100.01   \n",
       "Thunderstorms,Rain                       100.420000  0.355949  100.19   \n",
       "Thunderstorms,Rain Showers               100.233750  0.424576   99.65   \n",
       "Thunderstorms,Rain Showers,Fog           100.063333  0.503620   99.71   \n",
       "Thunderstorms,Rain,Fog                   100.080000       NaN  100.08   \n",
       "\n",
       "                                                                              \n",
       "                                              25%      50%       75%     max  \n",
       "Weather                                                                       \n",
       "Clear                                    101.1100  101.560  101.9700  103.63  \n",
       "Cloudy                                   100.4000  100.900  101.4000  103.65  \n",
       "Drizzle                                  100.2200  100.610  100.9200  101.56  \n",
       "Drizzle,Fog                              100.3675  100.765  101.3825  102.07  \n",
       "Drizzle,Ice Pellets,Fog                  100.7900  100.790  100.7900  100.79  \n",
       "Drizzle,Snow                             100.7600  100.890  101.0200  101.15  \n",
       "Drizzle,Snow,Fog                          98.7550   99.650   99.8450  100.15  \n",
       "Fog                                      100.6725  101.245  101.6625  103.04  \n",
       "Freezing Drizzle                         100.0650  100.420  100.7050  101.02  \n",
       "Freezing Drizzle,Fog                     100.2125  100.640  101.1275  101.27  \n",
       "Freezing Drizzle,Haze                    100.2950  100.310  100.3350  100.36  \n",
       "Freezing Drizzle,Snow                    100.6350  100.750  100.8450  101.18  \n",
       "Freezing Fog                             102.1425  102.230  102.4075  102.85  \n",
       "Freezing Rain                             98.7775   99.840  100.3375  101.00  \n",
       "Freezing Rain,Fog                         99.6925  100.225  100.4775  101.01  \n",
       "Freezing Rain,Haze                       100.3575  100.375  100.3925  100.41  \n",
       "Freezing Rain,Ice Pellets,Fog            100.9500  100.950  100.9500  100.95  \n",
       "Freezing Rain,Snow Grains                 98.5600   98.560   98.5600   98.56  \n",
       "Haze                                     100.7175  101.120  102.1375  102.97  \n",
       "Mainly Clear                             100.7800  101.250  101.6700  103.59  \n",
       "Moderate Rain,Fog                         99.9800   99.980   99.9800   99.98  \n",
       "Moderate Snow                             99.8950  100.275  100.6550  100.67  \n",
       "Moderate Snow,Blowing Snow               100.5350  100.570  100.6050  100.64  \n",
       "Mostly Cloudy                            100.5400  101.030  101.5200  103.65  \n",
       "Rain                                      99.7400  100.330  100.7500  102.26  \n",
       "Rain Showers                              99.9000  100.495  100.9275  102.31  \n",
       "Rain Showers,Fog                          99.8300   99.830   99.8300   99.83  \n",
       "Rain Showers,Snow Showers                101.0950  101.100  101.1050  101.11  \n",
       "Rain,Fog                                 100.1450  100.555  100.9025  101.77  \n",
       "Rain,Haze                                100.5050  100.510  100.5600  100.61  \n",
       "Rain,Ice Pellets                         100.1200  100.120  100.1200  100.12  \n",
       "Rain,Snow                                 99.4925   99.820  100.3425  101.07  \n",
       "Rain,Snow Grains                         100.6000  100.600  100.6000  100.60  \n",
       "Rain,Snow,Fog                            100.7300  100.730  100.7300  100.73  \n",
       "Rain,Snow,Ice Pellets                     99.9475  100.050  100.2075  100.47  \n",
       "Snow                                     100.0500  100.625  101.2000  102.73  \n",
       "Snow Pellets                              99.7000   99.700   99.7000   99.70  \n",
       "Snow Showers                             100.3250  100.980  101.4425  102.50  \n",
       "Snow Showers,Fog                         100.8550  101.010  101.4475  102.52  \n",
       "Snow,Blowing Snow                         99.1650  100.010  100.4050  100.62  \n",
       "Snow,Fog                                 100.2800  100.600  101.2500  102.07  \n",
       "Snow,Haze                                100.6800  100.780  100.8500  100.99  \n",
       "Snow,Ice Pellets                         100.4075  100.885  100.9050  100.96  \n",
       "Thunderstorms                            100.0350  100.230  100.4250  100.62  \n",
       "Thunderstorms,Heavy Rain Showers         100.2600  100.260  100.2600  100.26  \n",
       "Thunderstorms,Moderate Rain Showers,Fog  100.0100  100.010  100.0100  100.01  \n",
       "Thunderstorms,Rain                       100.2150  100.240  100.5350  100.83  \n",
       "Thunderstorms,Rain Showers                99.8475  100.205  100.5500  101.06  \n",
       "Thunderstorms,Rain Showers,Fog            99.7750   99.840  100.2400  100.64  \n",
       "Thunderstorms,Rain,Fog                   100.0800  100.080  100.0800  100.08  \n",
       "\n",
       "[50 rows x 48 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Weather').describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1b9fec9",
   "metadata": {},
   "source": [
    "## Show all the Records where 'Weather' is Fog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "7a5d578a",
   "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>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1/1/2012 5:00</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>87</td>\n",
       "      <td>9</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1/1/2012 6:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.1</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.29</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8716</th>\n",
       "      <td>12/29/2012 4:00</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-17.2</td>\n",
       "      <td>90</td>\n",
       "      <td>6</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8717</th>\n",
       "      <td>12/29/2012 5:00</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>-15.9</td>\n",
       "      <td>91</td>\n",
       "      <td>4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8718</th>\n",
       "      <td>12/29/2012 6:00</td>\n",
       "      <td>-13.8</td>\n",
       "      <td>-15.3</td>\n",
       "      <td>88</td>\n",
       "      <td>4</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8719</th>\n",
       "      <td>12/29/2012 7:00</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>-16.4</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.22</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8722</th>\n",
       "      <td>12/29/2012 10:00</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-13.3</td>\n",
       "      <td>90</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.15</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "5        1/1/2012 5:00    -1.4              -3.3         87                9   \n",
       "6        1/1/2012 6:00    -1.5              -3.1         89                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8716   12/29/2012 4:00   -16.0             -17.2         90                6   \n",
       "8717   12/29/2012 5:00   -14.8             -15.9         91                4   \n",
       "8718   12/29/2012 6:00   -13.8             -15.3         88                4   \n",
       "8719   12/29/2012 7:00   -14.8             -16.4         88                7   \n",
       "8722  12/29/2012 10:00   -12.0             -13.3         90                7   \n",
       "\n",
       "      Visibility_km  Press_kPa Weather  \n",
       "0               8.0     101.24     Fog  \n",
       "1               8.0     101.24     Fog  \n",
       "4               4.8     101.23     Fog  \n",
       "5               6.4     101.27     Fog  \n",
       "6               6.4     101.29     Fog  \n",
       "...             ...        ...     ...  \n",
       "8716            9.7     101.25     Fog  \n",
       "8717            6.4     101.25     Fog  \n",
       "8718            9.7     101.25     Fog  \n",
       "8719            8.0     101.22     Fog  \n",
       "8722            6.4     101.15     Fog  \n",
       "\n",
       "[150 rows x 8 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Weather']=='Fog']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "abeb6f22",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>86</td>\n",
       "      <td>4</td>\n",
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       "      <td>101.24</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
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       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1/1/2012 5:00</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>87</td>\n",
       "      <td>9</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1/1/2012 6:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.1</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.29</td>\n",
       "      <td>Fog</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8716</th>\n",
       "      <td>12/29/2012 4:00</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-17.2</td>\n",
       "      <td>90</td>\n",
       "      <td>6</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8717</th>\n",
       "      <td>12/29/2012 5:00</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>-15.9</td>\n",
       "      <td>91</td>\n",
       "      <td>4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8718</th>\n",
       "      <td>12/29/2012 6:00</td>\n",
       "      <td>-13.8</td>\n",
       "      <td>-15.3</td>\n",
       "      <td>88</td>\n",
       "      <td>4</td>\n",
       "      <td>9.7</td>\n",
       "      <td>101.25</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8719</th>\n",
       "      <td>12/29/2012 7:00</td>\n",
       "      <td>-14.8</td>\n",
       "      <td>-16.4</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.22</td>\n",
       "      <td>Fog</td>\n",
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       "    <tr>\n",
       "      <th>8722</th>\n",
       "      <td>12/29/2012 10:00</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-13.3</td>\n",
       "      <td>90</td>\n",
       "      <td>7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>101.15</td>\n",
       "      <td>Fog</td>\n",
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       "</table>\n",
       "<p>456 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "5        1/1/2012 5:00    -1.4              -3.3         87                9   \n",
       "6        1/1/2012 6:00    -1.5              -3.1         89                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8716   12/29/2012 4:00   -16.0             -17.2         90                6   \n",
       "8717   12/29/2012 5:00   -14.8             -15.9         91                4   \n",
       "8718   12/29/2012 6:00   -13.8             -15.3         88                4   \n",
       "8719   12/29/2012 7:00   -14.8             -16.4         88                7   \n",
       "8722  12/29/2012 10:00   -12.0             -13.3         90                7   \n",
       "\n",
       "      Visibility_km  Press_kPa Weather  \n",
       "0               8.0     101.24     Fog  \n",
       "1               8.0     101.24     Fog  \n",
       "4               4.8     101.23     Fog  \n",
       "5               6.4     101.27     Fog  \n",
       "6               6.4     101.29     Fog  \n",
       "...             ...        ...     ...  \n",
       "8716            9.7     101.25     Fog  \n",
       "8717            6.4     101.25     Fog  \n",
       "8718            9.7     101.25     Fog  \n",
       "8719            8.0     101.22     Fog  \n",
       "8722            6.4     101.15     Fog  \n",
       "\n",
       "[456 rows x 8 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['Weather']=='Fog') | (df['Weather']=='Rain')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "462f00bf",
   "metadata": {},
   "source": [
    "## Find all the instance where 'Weather is Clear' or 'Visibility is above 35'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "ffd2ac1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>67</th>\n",
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       "      <td>-16.9</td>\n",
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       "      <td>50</td>\n",
       "      <td>24</td>\n",
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       "      <td>101.74</td>\n",
       "      <td>Clear</td>\n",
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       "      <th>106</th>\n",
       "      <td>1/5/2012 10:00</td>\n",
       "      <td>-6.0</td>\n",
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       "      <td>73</td>\n",
       "      <td>17</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.45</td>\n",
       "      <td>Mainly Clear</td>\n",
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       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>1/5/2012 11:00</td>\n",
       "      <td>-5.6</td>\n",
       "      <td>-10.2</td>\n",
       "      <td>70</td>\n",
       "      <td>22</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.41</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1/5/2012 12:00</td>\n",
       "      <td>-4.7</td>\n",
       "      <td>-9.6</td>\n",
       "      <td>69</td>\n",
       "      <td>20</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.38</td>\n",
       "      <td>Mainly Clear</td>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>1/5/2012 13:00</td>\n",
       "      <td>-4.4</td>\n",
       "      <td>-9.7</td>\n",
       "      <td>66</td>\n",
       "      <td>26</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.40</td>\n",
       "      <td>Mainly Clear</td>\n",
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       "    <tr>\n",
       "      <th>8749</th>\n",
       "      <td>12/30/2012 13:00</td>\n",
       "      <td>-12.4</td>\n",
       "      <td>-16.2</td>\n",
       "      <td>73</td>\n",
       "      <td>37</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.92</td>\n",
       "      <td>Mostly Cloudy</td>\n",
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       "    <tr>\n",
       "      <th>8750</th>\n",
       "      <td>12/30/2012 14:00</td>\n",
       "      <td>-11.8</td>\n",
       "      <td>-16.1</td>\n",
       "      <td>70</td>\n",
       "      <td>37</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.96</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8751</th>\n",
       "      <td>12/30/2012 15:00</td>\n",
       "      <td>-11.3</td>\n",
       "      <td>-15.6</td>\n",
       "      <td>70</td>\n",
       "      <td>32</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.05</td>\n",
       "      <td>Mainly Clear</td>\n",
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       "    <tr>\n",
       "      <th>8752</th>\n",
       "      <td>12/30/2012 16:00</td>\n",
       "      <td>-11.4</td>\n",
       "      <td>-15.5</td>\n",
       "      <td>72</td>\n",
       "      <td>26</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.15</td>\n",
       "      <td>Mainly Clear</td>\n",
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       "    <tr>\n",
       "      <th>8756</th>\n",
       "      <td>12/30/2012 20:00</td>\n",
       "      <td>-13.8</td>\n",
       "      <td>-16.5</td>\n",
       "      <td>80</td>\n",
       "      <td>24</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.52</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3027 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "67      1/3/2012 19:00   -16.9             -24.8         50               24   \n",
       "106     1/5/2012 10:00    -6.0             -10.0         73               17   \n",
       "107     1/5/2012 11:00    -5.6             -10.2         70               22   \n",
       "108     1/5/2012 12:00    -4.7              -9.6         69               20   \n",
       "109     1/5/2012 13:00    -4.4              -9.7         66               26   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8749  12/30/2012 13:00   -12.4             -16.2         73               37   \n",
       "8750  12/30/2012 14:00   -11.8             -16.1         70               37   \n",
       "8751  12/30/2012 15:00   -11.3             -15.6         70               32   \n",
       "8752  12/30/2012 16:00   -11.4             -15.5         72               26   \n",
       "8756  12/30/2012 20:00   -13.8             -16.5         80               24   \n",
       "\n",
       "      Visibility_km  Press_kPa        Weather  \n",
       "67             25.0     101.74          Clear  \n",
       "106            48.3     100.45   Mainly Clear  \n",
       "107            48.3     100.41   Mainly Clear  \n",
       "108            48.3     100.38   Mainly Clear  \n",
       "109            48.3     100.40   Mainly Clear  \n",
       "...             ...        ...            ...  \n",
       "8749           48.3     100.92  Mostly Cloudy  \n",
       "8750           48.3     100.96   Mainly Clear  \n",
       "8751           48.3     101.05   Mainly Clear  \n",
       "8752           48.3     101.15   Mainly Clear  \n",
       "8756           25.0     101.52          Clear  \n",
       "\n",
       "[3027 rows x 8 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['Weather']=='Clear') | (df['Visibility_km']>35)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bb0dbb0",
   "metadata": {},
   "source": [
    "## 15. Find all instances when :\n",
    "## A. 'Weather is Clear' and 'Relative Humidity is greater than 50'\n",
    "## B. 'Visibility is above 40'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "3b3073c2",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>1/5/2012 11:00</td>\n",
       "      <td>-5.6</td>\n",
       "      <td>-10.2</td>\n",
       "      <td>70</td>\n",
       "      <td>22</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.41</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1/5/2012 12:00</td>\n",
       "      <td>-4.7</td>\n",
       "      <td>-9.6</td>\n",
       "      <td>69</td>\n",
       "      <td>20</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.38</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>1/5/2012 13:00</td>\n",
       "      <td>-4.4</td>\n",
       "      <td>-9.7</td>\n",
       "      <td>66</td>\n",
       "      <td>26</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.40</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>1/5/2012 14:00</td>\n",
       "      <td>-5.1</td>\n",
       "      <td>-10.7</td>\n",
       "      <td>65</td>\n",
       "      <td>22</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.46</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8749</th>\n",
       "      <td>12/30/2012 13:00</td>\n",
       "      <td>-12.4</td>\n",
       "      <td>-16.2</td>\n",
       "      <td>73</td>\n",
       "      <td>37</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.92</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8750</th>\n",
       "      <td>12/30/2012 14:00</td>\n",
       "      <td>-11.8</td>\n",
       "      <td>-16.1</td>\n",
       "      <td>70</td>\n",
       "      <td>37</td>\n",
       "      <td>48.3</td>\n",
       "      <td>100.96</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8751</th>\n",
       "      <td>12/30/2012 15:00</td>\n",
       "      <td>-11.3</td>\n",
       "      <td>-15.6</td>\n",
       "      <td>70</td>\n",
       "      <td>32</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.05</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8752</th>\n",
       "      <td>12/30/2012 16:00</td>\n",
       "      <td>-11.4</td>\n",
       "      <td>-15.5</td>\n",
       "      <td>72</td>\n",
       "      <td>26</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.15</td>\n",
       "      <td>Mainly Clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8756</th>\n",
       "      <td>12/30/2012 20:00</td>\n",
       "      <td>-13.8</td>\n",
       "      <td>-16.5</td>\n",
       "      <td>80</td>\n",
       "      <td>24</td>\n",
       "      <td>25.0</td>\n",
       "      <td>101.52</td>\n",
       "      <td>Clear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2921 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "106     1/5/2012 10:00    -6.0             -10.0         73               17   \n",
       "107     1/5/2012 11:00    -5.6             -10.2         70               22   \n",
       "108     1/5/2012 12:00    -4.7              -9.6         69               20   \n",
       "109     1/5/2012 13:00    -4.4              -9.7         66               26   \n",
       "110     1/5/2012 14:00    -5.1             -10.7         65               22   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8749  12/30/2012 13:00   -12.4             -16.2         73               37   \n",
       "8750  12/30/2012 14:00   -11.8             -16.1         70               37   \n",
       "8751  12/30/2012 15:00   -11.3             -15.6         70               32   \n",
       "8752  12/30/2012 16:00   -11.4             -15.5         72               26   \n",
       "8756  12/30/2012 20:00   -13.8             -16.5         80               24   \n",
       "\n",
       "      Visibility_km  Press_kPa        Weather  \n",
       "106            48.3     100.45   Mainly Clear  \n",
       "107            48.3     100.41   Mainly Clear  \n",
       "108            48.3     100.38   Mainly Clear  \n",
       "109            48.3     100.40   Mainly Clear  \n",
       "110            48.3     100.46   Mainly Clear  \n",
       "...             ...        ...            ...  \n",
       "8749           48.3     100.92  Mostly Cloudy  \n",
       "8750           48.3     100.96   Mainly Clear  \n",
       "8751           48.3     101.05   Mainly Clear  \n",
       "8752           48.3     101.15   Mainly Clear  \n",
       "8756           25.0     101.52          Clear  \n",
       "\n",
       "[2921 rows x 8 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[((df['Weather']=='Clear') & (df['Rel Hum_%']>50)) | (df['Visibility_km']>40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "d20e7469",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2012 0:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/1/2012 1:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.7</td>\n",
       "      <td>87</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/1/2012 2:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/1/2012 3:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/1/2012 4:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8779</th>\n",
       "      <td>12/31/2012 19:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>12/31/2012 20:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>12/31/2012 21:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>12/31/2012 22:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8783</th>\n",
       "      <td>12/31/2012 23:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  Wind Speed_km/h  \\\n",
       "0        1/1/2012 0:00    -1.8              -3.9         86                4   \n",
       "1        1/1/2012 1:00    -1.8              -3.7         87                4   \n",
       "2        1/1/2012 2:00    -1.8              -3.4         89                7   \n",
       "3        1/1/2012 3:00    -1.5              -3.2         88                6   \n",
       "4        1/1/2012 4:00    -1.5              -3.3         88                7   \n",
       "...                ...     ...               ...        ...              ...   \n",
       "8779  12/31/2012 19:00     0.1              -2.7         81               30   \n",
       "8780  12/31/2012 20:00     0.2              -2.4         83               24   \n",
       "8781  12/31/2012 21:00    -0.5              -1.5         93               28   \n",
       "8782  12/31/2012 22:00    -0.2              -1.8         89               28   \n",
       "8783  12/31/2012 23:00     0.0              -2.1         86               30   \n",
       "\n",
       "      Visibility_km  Press_kPa               Weather  \n",
       "0               8.0     101.24                   Fog  \n",
       "1               8.0     101.24                   Fog  \n",
       "2               4.0     101.26  Freezing Drizzle,Fog  \n",
       "3               4.0     101.27  Freezing Drizzle,Fog  \n",
       "4               4.8     101.23                   Fog  \n",
       "...             ...        ...                   ...  \n",
       "8779            9.7     100.13                  Snow  \n",
       "8780            9.7     100.03                  Snow  \n",
       "8781            4.8      99.95                  Snow  \n",
       "8782            9.7      99.91                  Snow  \n",
       "8783           11.3      99.89                  Snow  \n",
       "\n",
       "[8784 rows x 8 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d419a27",
   "metadata": {},
   "source": [
    "## Temperature Trends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "51763ddf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert 'Date/Time' column to datetime format\n",
    "df['Data/Time']=pd.to_datetime(df['Date/Time'])\n",
    "# plot temperature trends over time\n",
    "plt.plot(df['Date/Time'],df['Temp_C'])\n",
    "plt.title('Temperature Trends Over Time')\n",
    "plt.xlabel('Date/Time')\n",
    "plt.ylabel('Temperature(Celcius)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "2e28566d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date/Time           datetime64[ns]\n",
       "Temp_C                     float64\n",
       "Dew Point Temp_C           float64\n",
       "Rel Hum_%                    int64\n",
       "Wind Speed_km/h              int64\n",
       "Visibility_km              float64\n",
       "Press_kPa                  float64\n",
       "Weather                     object\n",
       "Data/Time           datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22abdc52",
   "metadata": {},
   "source": [
    "## Weather Conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "5dcb6f01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Weather\n",
       "Mainly Clear                               2106\n",
       "Mostly Cloudy                              2069\n",
       "Cloudy                                     1728\n",
       "Clear                                      1326\n",
       "Snow                                        390\n",
       "Rain                                        306\n",
       "Rain Showers                                188\n",
       "Fog                                         150\n",
       "Rain,Fog                                    116\n",
       "Drizzle,Fog                                  80\n",
       "Snow Showers                                 60\n",
       "Drizzle                                      41\n",
       "Snow,Fog                                     37\n",
       "Snow,Blowing Snow                            19\n",
       "Rain,Snow                                    18\n",
       "Thunderstorms,Rain Showers                   16\n",
       "Haze                                         16\n",
       "Drizzle,Snow,Fog                             15\n",
       "Freezing Rain                                14\n",
       "Freezing Drizzle,Snow                        11\n",
       "Freezing Drizzle                              7\n",
       "Snow,Ice Pellets                              6\n",
       "Freezing Drizzle,Fog                          6\n",
       "Snow,Haze                                     5\n",
       "Freezing Fog                                  4\n",
       "Snow Showers,Fog                              4\n",
       "Moderate Snow                                 4\n",
       "Rain,Snow,Ice Pellets                         4\n",
       "Freezing Rain,Fog                             4\n",
       "Freezing Drizzle,Haze                         3\n",
       "Rain,Haze                                     3\n",
       "Thunderstorms,Rain                            3\n",
       "Thunderstorms,Rain Showers,Fog                3\n",
       "Freezing Rain,Haze                            2\n",
       "Drizzle,Snow                                  2\n",
       "Rain Showers,Snow Showers                     2\n",
       "Thunderstorms                                 2\n",
       "Moderate Snow,Blowing Snow                    2\n",
       "Rain Showers,Fog                              1\n",
       "Thunderstorms,Moderate Rain Showers,Fog       1\n",
       "Snow Pellets                                  1\n",
       "Rain,Snow,Fog                                 1\n",
       "Moderate Rain,Fog                             1\n",
       "Freezing Rain,Ice Pellets,Fog                 1\n",
       "Drizzle,Ice Pellets,Fog                       1\n",
       "Thunderstorms,Rain,Fog                        1\n",
       "Rain,Ice Pellets                              1\n",
       "Rain,Snow Grains                              1\n",
       "Thunderstorms,Heavy Rain Showers              1\n",
       "Freezing Rain,Snow Grains                     1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Weather'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "25475938",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# count frequency of each weather condition\n",
    "weather_counts= df['Weather'].value_counts()\n",
    "\n",
    "weather_counts.plot(kind='bar',color='green')\n",
    "plt.title('Distibution of Weather Conditions')\n",
    "plt.xlabel('Weather')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n",
    "#plt.figure(figsize=(20,7))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14d4a910",
   "metadata": {},
   "source": [
    "## Extreme Events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "e8a7aa48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extreme Temperature Events: \n",
      "               Data/Time  Temp_C\n",
      "3374 2012-05-20 14:00:00    30.9\n",
      "3375 2012-05-20 15:00:00    30.9\n",
      "3376 2012-05-20 16:00:00    31.2\n",
      "3377 2012-05-20 17:00:00    30.8\n",
      "3903 2012-06-11 15:00:00    30.1\n",
      "...                  ...     ...\n",
      "5704 2012-08-25 16:00:00    31.1\n",
      "5705 2012-08-25 17:00:00    30.2\n",
      "5726 2012-08-26 14:00:00    30.2\n",
      "5727 2012-08-26 15:00:00    30.1\n",
      "5728 2012-08-26 16:00:00    30.4\n",
      "\n",
      "[67 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "extreme_events=df[df['Temp_C']>30]\n",
    "\n",
    "print(\"Extreme Temperature Events: \")\n",
    "print(extreme_events[['Data/Time','Temp_C']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a374cf45",
   "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>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
       "      <th>Weather</th>\n",
       "      <th>Data/Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3374</th>\n",
       "      <td>2012-05-20 14:00:00</td>\n",
       "      <td>30.9</td>\n",
       "      <td>11.5</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.72</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-05-20 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3375</th>\n",
       "      <td>2012-05-20 15:00:00</td>\n",
       "      <td>30.9</td>\n",
       "      <td>10.7</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.67</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-05-20 15:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3376</th>\n",
       "      <td>2012-05-20 16:00:00</td>\n",
       "      <td>31.2</td>\n",
       "      <td>10.7</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.61</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-05-20 16:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3377</th>\n",
       "      <td>2012-05-20 17:00:00</td>\n",
       "      <td>30.8</td>\n",
       "      <td>10.6</td>\n",
       "      <td>29</td>\n",
       "      <td>13</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.58</td>\n",
       "      <td>Mostly Cloudy</td>\n",
       "      <td>2012-05-20 17:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3903</th>\n",
       "      <td>2012-06-11 15:00:00</td>\n",
       "      <td>30.1</td>\n",
       "      <td>18.4</td>\n",
       "      <td>50</td>\n",
       "      <td>17</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-06-11 15:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5704</th>\n",
       "      <td>2012-08-25 16:00:00</td>\n",
       "      <td>31.1</td>\n",
       "      <td>16.6</td>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.74</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-08-25 16:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5705</th>\n",
       "      <td>2012-08-25 17:00:00</td>\n",
       "      <td>30.2</td>\n",
       "      <td>17.1</td>\n",
       "      <td>45</td>\n",
       "      <td>11</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.72</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-08-25 17:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5726</th>\n",
       "      <td>2012-08-26 14:00:00</td>\n",
       "      <td>30.2</td>\n",
       "      <td>15.5</td>\n",
       "      <td>41</td>\n",
       "      <td>17</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.81</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-08-26 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5727</th>\n",
       "      <td>2012-08-26 15:00:00</td>\n",
       "      <td>30.1</td>\n",
       "      <td>15.7</td>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.76</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-08-26 15:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5728</th>\n",
       "      <td>2012-08-26 16:00:00</td>\n",
       "      <td>30.4</td>\n",
       "      <td>16.1</td>\n",
       "      <td>42</td>\n",
       "      <td>11</td>\n",
       "      <td>48.3</td>\n",
       "      <td>101.68</td>\n",
       "      <td>Mainly Clear</td>\n",
       "      <td>2012-08-26 16:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  \\\n",
       "3374 2012-05-20 14:00:00    30.9              11.5         30   \n",
       "3375 2012-05-20 15:00:00    30.9              10.7         29   \n",
       "3376 2012-05-20 16:00:00    31.2              10.7         28   \n",
       "3377 2012-05-20 17:00:00    30.8              10.6         29   \n",
       "3903 2012-06-11 15:00:00    30.1              18.4         50   \n",
       "...                  ...     ...               ...        ...   \n",
       "5704 2012-08-25 16:00:00    31.1              16.6         42   \n",
       "5705 2012-08-25 17:00:00    30.2              17.1         45   \n",
       "5726 2012-08-26 14:00:00    30.2              15.5         41   \n",
       "5727 2012-08-26 15:00:00    30.1              15.7         42   \n",
       "5728 2012-08-26 16:00:00    30.4              16.1         42   \n",
       "\n",
       "      Wind Speed_km/h  Visibility_km  Press_kPa        Weather  \\\n",
       "3374               11           48.3     101.72   Mainly Clear   \n",
       "3375                4           48.3     101.67   Mainly Clear   \n",
       "3376                4           48.3     101.61   Mainly Clear   \n",
       "3377               13           48.3     101.58  Mostly Cloudy   \n",
       "3903               17           48.3     101.27   Mainly Clear   \n",
       "...               ...            ...        ...            ...   \n",
       "5704               13           48.3     101.74   Mainly Clear   \n",
       "5705               11           48.3     101.72   Mainly Clear   \n",
       "5726               17           48.3     101.81   Mainly Clear   \n",
       "5727               13           48.3     101.76   Mainly Clear   \n",
       "5728               11           48.3     101.68   Mainly Clear   \n",
       "\n",
       "               Data/Time  \n",
       "3374 2012-05-20 14:00:00  \n",
       "3375 2012-05-20 15:00:00  \n",
       "3376 2012-05-20 16:00:00  \n",
       "3377 2012-05-20 17:00:00  \n",
       "3903 2012-06-11 15:00:00  \n",
       "...                  ...  \n",
       "5704 2012-08-25 16:00:00  \n",
       "5705 2012-08-25 17:00:00  \n",
       "5726 2012-08-26 14:00:00  \n",
       "5727 2012-08-26 15:00:00  \n",
       "5728 2012-08-26 16:00:00  \n",
       "\n",
       "[67 rows x 9 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Temp_C']>30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "9ea5ae24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33.0"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Temp_C'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "91b932cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Temp_C</th>\n",
       "      <th>Dew Point Temp_C</th>\n",
       "      <th>Rel Hum_%</th>\n",
       "      <th>Wind Speed_km/h</th>\n",
       "      <th>Visibility_km</th>\n",
       "      <th>Press_kPa</th>\n",
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       "      <th>Data/Time</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2012-01-01 00:00:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>86</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>101.24</td>\n",
       "      <td>Fog</td>\n",
       "      <td>2012-01-01 00:00:00</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-01 01:00:00</td>\n",
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       "      <td>87</td>\n",
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       "      <td>Fog</td>\n",
       "      <td>2012-01-01 01:00:00</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-01-01 02:00:00</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>-3.4</td>\n",
       "      <td>89</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.26</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "      <td>2012-01-01 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-01-01 03:00:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>101.27</td>\n",
       "      <td>Freezing Drizzle,Fog</td>\n",
       "      <td>2012-01-01 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-01 04:00:00</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>-3.3</td>\n",
       "      <td>88</td>\n",
       "      <td>7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>101.23</td>\n",
       "      <td>Fog</td>\n",
       "      <td>2012-01-01 04:00:00</td>\n",
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       "      <th>8779</th>\n",
       "      <td>2012-12-31 19:00:00</td>\n",
       "      <td>0.1</td>\n",
       "      <td>-2.7</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.13</td>\n",
       "      <td>Snow</td>\n",
       "      <td>2012-12-31 19:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>2012-12-31 20:00:00</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-2.4</td>\n",
       "      <td>83</td>\n",
       "      <td>24</td>\n",
       "      <td>9.7</td>\n",
       "      <td>100.03</td>\n",
       "      <td>Snow</td>\n",
       "      <td>2012-12-31 20:00:00</td>\n",
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       "    <tr>\n",
       "      <th>8781</th>\n",
       "      <td>2012-12-31 21:00:00</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>93</td>\n",
       "      <td>28</td>\n",
       "      <td>4.8</td>\n",
       "      <td>99.95</td>\n",
       "      <td>Snow</td>\n",
       "      <td>2012-12-31 21:00:00</td>\n",
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       "      <th>8782</th>\n",
       "      <td>2012-12-31 22:00:00</td>\n",
       "      <td>-0.2</td>\n",
       "      <td>-1.8</td>\n",
       "      <td>89</td>\n",
       "      <td>28</td>\n",
       "      <td>9.7</td>\n",
       "      <td>99.91</td>\n",
       "      <td>Snow</td>\n",
       "      <td>2012-12-31 22:00:00</td>\n",
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       "      <th>8783</th>\n",
       "      <td>2012-12-31 23:00:00</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>86</td>\n",
       "      <td>30</td>\n",
       "      <td>11.3</td>\n",
       "      <td>99.89</td>\n",
       "      <td>Snow</td>\n",
       "      <td>2012-12-31 23:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8784 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Date/Time  Temp_C  Dew Point Temp_C  Rel Hum_%  \\\n",
       "0    2012-01-01 00:00:00    -1.8              -3.9         86   \n",
       "1    2012-01-01 01:00:00    -1.8              -3.7         87   \n",
       "2    2012-01-01 02:00:00    -1.8              -3.4         89   \n",
       "3    2012-01-01 03:00:00    -1.5              -3.2         88   \n",
       "4    2012-01-01 04:00:00    -1.5              -3.3         88   \n",
       "...                  ...     ...               ...        ...   \n",
       "8779 2012-12-31 19:00:00     0.1              -2.7         81   \n",
       "8780 2012-12-31 20:00:00     0.2              -2.4         83   \n",
       "8781 2012-12-31 21:00:00    -0.5              -1.5         93   \n",
       "8782 2012-12-31 22:00:00    -0.2              -1.8         89   \n",
       "8783 2012-12-31 23:00:00     0.0              -2.1         86   \n",
       "\n",
       "      Wind Speed_km/h  Visibility_km  Press_kPa               Weather  \\\n",
       "0                   4            8.0     101.24                   Fog   \n",
       "1                   4            8.0     101.24                   Fog   \n",
       "2                   7            4.0     101.26  Freezing Drizzle,Fog   \n",
       "3                   6            4.0     101.27  Freezing Drizzle,Fog   \n",
       "4                   7            4.8     101.23                   Fog   \n",
       "...               ...            ...        ...                   ...   \n",
       "8779               30            9.7     100.13                  Snow   \n",
       "8780               24            9.7     100.03                  Snow   \n",
       "8781               28            4.8      99.95                  Snow   \n",
       "8782               28            9.7      99.91                  Snow   \n",
       "8783               30           11.3      99.89                  Snow   \n",
       "\n",
       "               Data/Time  \n",
       "0    2012-01-01 00:00:00  \n",
       "1    2012-01-01 01:00:00  \n",
       "2    2012-01-01 02:00:00  \n",
       "3    2012-01-01 03:00:00  \n",
       "4    2012-01-01 04:00:00  \n",
       "...                  ...  \n",
       "8779 2012-12-31 19:00:00  \n",
       "8780 2012-12-31 20:00:00  \n",
       "8781 2012-12-31 21:00:00  \n",
       "8782 2012-12-31 22:00:00  \n",
       "8783 2012-12-31 23:00:00  \n",
       "\n",
       "[8784 rows x 9 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  }
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