 Landslide Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "focal-guitar",
   "metadata": {},
   "source": [
    "# Landslide Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "vocal-output",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sns\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "postal-prophet",
   "metadata": {},
   "source": [
    "### Importing the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "induced-cooperation",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('globallandslides.csv')\n",
    "df_copy = pd.read_csv('globallandslides.csv')  # making a copy of dataframe "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "raising-candidate",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "middle-acquisition",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>source_name</th>\n",
       "      <th>source_link</th>\n",
       "      <th>event_id</th>\n",
       "      <th>event_date</th>\n",
       "      <th>event_time</th>\n",
       "      <th>event_title</th>\n",
       "      <th>event_description</th>\n",
       "      <th>location_description</th>\n",
       "      <th>location_accuracy</th>\n",
       "      <th>landslide_category</th>\n",
       "      <th>landslide_trigger</th>\n",
       "      <th>landslide_size</th>\n",
       "      <th>landslide_setting</th>\n",
       "      <th>fatality_count</th>\n",
       "      <th>injury_count</th>\n",
       "      <th>storm_name</th>\n",
       "      <th>photo_link</th>\n",
       "      <th>notes</th>\n",
       "      <th>event_import_source</th>\n",
       "      <th>event_import_id</th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>admin_division_name</th>\n",
       "      <th>admin_division_population</th>\n",
       "      <th>gazeteer_closest_point</th>\n",
       "      <th>gazeteer_distance</th>\n",
       "      <th>submitted_date</th>\n",
       "      <th>created_date</th>\n",
       "      <th>last_edited_date</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGU</td>\n",
       "      <td>https://blogs.agu.org/landslideblog/2008/10/14...</td>\n",
       "      <td>684</td>\n",
       "      <td>08/01/2008 12:00:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sigou Village, Loufan County, Shanxi Province</td>\n",
       "      <td>occurred early in morning, 11 villagers buried...</td>\n",
       "      <td>Sigou Village, Loufan County, Shanxi Province</td>\n",
       "      <td>unknown</td>\n",
       "      <td>landslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>large</td>\n",
       "      <td>mine</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>glc</td>\n",
       "      <td>684.0</td>\n",
       "      <td>China</td>\n",
       "      <td>CN</td>\n",
       "      <td>Shaanxi</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jingyang</td>\n",
       "      <td>41.02145</td>\n",
       "      <td>04/01/2014 12:00:00 AM</td>\n",
       "      <td>11/20/2017 03:17:00 PM</td>\n",
       "      <td>02/15/2018 03:51:00 PM</td>\n",
       "      <td>107.4500</td>\n",
       "      <td>32.5625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Oregonian</td>\n",
       "      <td>http://www.oregonlive.com/news/index.ssf/2009/...</td>\n",
       "      <td>956</td>\n",
       "      <td>01/02/2009 02:00:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lake Oswego, Oregon</td>\n",
       "      <td>Hours of heavy rain are to blame for an overni...</td>\n",
       "      <td>Lake Oswego, Oregon</td>\n",
       "      <td>5km</td>\n",
       "      <td>mudslide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>small</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>glc</td>\n",
       "      <td>956.0</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>36619.0</td>\n",
       "      <td>Lake Oswego</td>\n",
       "      <td>0.60342</td>\n",
       "      <td>04/01/2014 12:00:00 AM</td>\n",
       "      <td>11/20/2017 03:17:00 PM</td>\n",
       "      <td>02/15/2018 03:51:00 PM</td>\n",
       "      <td>-122.6630</td>\n",
       "      <td>45.4200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CBS News</td>\n",
       "      <td>https://www.cbsnews.com/news/dozens-missing-af...</td>\n",
       "      <td>973</td>\n",
       "      <td>01/19/2007 12:00:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>San Ramon district, 195 miles northeast of the...</td>\n",
       "      <td>(CBS/AP) At least 10 people died and as many a...</td>\n",
       "      <td>San Ramon district, 195 miles northeast of the...</td>\n",
       "      <td>10km</td>\n",
       "      <td>landslide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>large</td>\n",
       "      <td>unknown</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>glc</td>\n",
       "      <td>973.0</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Junín</td>\n",
       "      <td>14708.0</td>\n",
       "      <td>San Ramón</td>\n",
       "      <td>0.85548</td>\n",
       "      <td>04/01/2014 12:00:00 AM</td>\n",
       "      <td>11/20/2017 03:17:00 PM</td>\n",
       "      <td>02/15/2018 03:51:00 PM</td>\n",
       "      <td>-75.3587</td>\n",
       "      <td>-11.1295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Reuters</td>\n",
       "      <td>https://in.reuters.com/article/idINIndia-41450...</td>\n",
       "      <td>1067</td>\n",
       "      <td>07/31/2009 12:00:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dailekh district</td>\n",
       "      <td>One person was killed in Dailekh district, pol...</td>\n",
       "      <td>Dailekh district</td>\n",
       "      <td>unknown</td>\n",
       "      <td>landslide</td>\n",
       "      <td>monsoon</td>\n",
       "      <td>medium</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>glc</td>\n",
       "      <td>1067.0</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>Mid Western</td>\n",
       "      <td>20908.0</td>\n",
       "      <td>Dailekh</td>\n",
       "      <td>0.75395</td>\n",
       "      <td>04/01/2014 12:00:00 AM</td>\n",
       "      <td>11/20/2017 03:17:00 PM</td>\n",
       "      <td>02/15/2018 03:51:00 PM</td>\n",
       "      <td>81.7080</td>\n",
       "      <td>28.8378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Freeman</td>\n",
       "      <td>http://www.philstar.com/cebu-news/621414/lands...</td>\n",
       "      <td>2603</td>\n",
       "      <td>10/16/2010 12:00:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sitio Bakilid in barangay Lahug</td>\n",
       "      <td>Another landslide in sitio Bakilid in barangay...</td>\n",
       "      <td>sitio Bakilid in barangay Lahug</td>\n",
       "      <td>5km</td>\n",
       "      <td>landslide</td>\n",
       "      <td>tropical_cyclone</td>\n",
       "      <td>medium</td>\n",
       "      <td>unknown</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Supertyphoon Juan (Megi)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>glc</td>\n",
       "      <td>2603.0</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>PH</td>\n",
       "      <td>Central Visayas</td>\n",
       "      <td>798634.0</td>\n",
       "      <td>Cebu City</td>\n",
       "      <td>2.02204</td>\n",
       "      <td>04/01/2014 12:00:00 AM</td>\n",
       "      <td>11/20/2017 03:17:00 PM</td>\n",
       "      <td>02/15/2018 03:51:00 PM</td>\n",
       "      <td>123.8978</td>\n",
       "      <td>10.3336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   source_name                                        source_link  event_id  \\\n",
       "0          AGU  https://blogs.agu.org/landslideblog/2008/10/14...       684   \n",
       "1    Oregonian  http://www.oregonlive.com/news/index.ssf/2009/...       956   \n",
       "2     CBS News  https://www.cbsnews.com/news/dozens-missing-af...       973   \n",
       "3      Reuters  https://in.reuters.com/article/idINIndia-41450...      1067   \n",
       "4  The Freeman  http://www.philstar.com/cebu-news/621414/lands...      2603   \n",
       "\n",
       "               event_date  event_time  \\\n",
       "0  08/01/2008 12:00:00 AM         NaN   \n",
       "1  01/02/2009 02:00:00 AM         NaN   \n",
       "2  01/19/2007 12:00:00 AM         NaN   \n",
       "3  07/31/2009 12:00:00 AM         NaN   \n",
       "4  10/16/2010 12:00:00 PM         NaN   \n",
       "\n",
       "                                         event_title  \\\n",
       "0      Sigou Village, Loufan County, Shanxi Province   \n",
       "1                                Lake Oswego, Oregon   \n",
       "2  San Ramon district, 195 miles northeast of the...   \n",
       "3                                   Dailekh district   \n",
       "4                    sitio Bakilid in barangay Lahug   \n",
       "\n",
       "                                   event_description  \\\n",
       "0  occurred early in morning, 11 villagers buried...   \n",
       "1  Hours of heavy rain are to blame for an overni...   \n",
       "2  (CBS/AP) At least 10 people died and as many a...   \n",
       "3  One person was killed in Dailekh district, pol...   \n",
       "4  Another landslide in sitio Bakilid in barangay...   \n",
       "\n",
       "                                location_description location_accuracy  \\\n",
       "0      Sigou Village, Loufan County, Shanxi Province           unknown   \n",
       "1                                Lake Oswego, Oregon               5km   \n",
       "2  San Ramon district, 195 miles northeast of the...              10km   \n",
       "3                                   Dailekh district           unknown   \n",
       "4                    sitio Bakilid in barangay Lahug               5km   \n",
       "\n",
       "  landslide_category landslide_trigger landslide_size landslide_setting  \\\n",
       "0          landslide              rain          large              mine   \n",
       "1           mudslide          downpour          small           unknown   \n",
       "2          landslide          downpour          large           unknown   \n",
       "3          landslide           monsoon         medium           unknown   \n",
       "4          landslide  tropical_cyclone         medium           unknown   \n",
       "\n",
       "   fatality_count  injury_count                storm_name photo_link notes  \\\n",
       "0            11.0           NaN                       NaN        NaN   NaN   \n",
       "1             0.0           NaN                       NaN        NaN   NaN   \n",
       "2            10.0           NaN                       NaN        NaN   NaN   \n",
       "3             1.0           NaN                       NaN        NaN   NaN   \n",
       "4             0.0           NaN  Supertyphoon Juan (Megi)        NaN   NaN   \n",
       "\n",
       "  event_import_source  event_import_id   country_name country_code  \\\n",
       "0                 glc            684.0          China           CN   \n",
       "1                 glc            956.0  United States           US   \n",
       "2                 glc            973.0           Peru           PE   \n",
       "3                 glc           1067.0          Nepal           NP   \n",
       "4                 glc           2603.0    Philippines           PH   \n",
       "\n",
       "  admin_division_name  admin_division_population gazeteer_closest_point  \\\n",
       "0             Shaanxi                        0.0               Jingyang   \n",
       "1              Oregon                    36619.0            Lake Oswego   \n",
       "2               Junín                    14708.0              San Ramón   \n",
       "3         Mid Western                    20908.0                Dailekh   \n",
       "4     Central Visayas                   798634.0              Cebu City   \n",
       "\n",
       "   gazeteer_distance          submitted_date            created_date  \\\n",
       "0           41.02145  04/01/2014 12:00:00 AM  11/20/2017 03:17:00 PM   \n",
       "1            0.60342  04/01/2014 12:00:00 AM  11/20/2017 03:17:00 PM   \n",
       "2            0.85548  04/01/2014 12:00:00 AM  11/20/2017 03:17:00 PM   \n",
       "3            0.75395  04/01/2014 12:00:00 AM  11/20/2017 03:17:00 PM   \n",
       "4            2.02204  04/01/2014 12:00:00 AM  11/20/2017 03:17:00 PM   \n",
       "\n",
       "         last_edited_date  longitude  latitude  \n",
       "0  02/15/2018 03:51:00 PM   107.4500   32.5625  \n",
       "1  02/15/2018 03:51:00 PM  -122.6630   45.4200  \n",
       "2  02/15/2018 03:51:00 PM   -75.3587  -11.1295  \n",
       "3  02/15/2018 03:51:00 PM    81.7080   28.8378  \n",
       "4  02/15/2018 03:51:00 PM   123.8978   10.3336  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "chicken-litigation",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df.country_name==\"India\"]  # Selecting data for India "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fatty-member",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Year\"] = pd.to_datetime(df[\"event_date\"]).dt.year    # This extracts the year in which the event took place"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "micro-czech",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df.landslide_category==\"landslide\"]  # Selecting only landslide category"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aggregate-israel",
   "metadata": {},
   "source": [
    "##  Task 1 : A map of only landslides that have happened within India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "increasing-doctor",
   "metadata": {},
   "outputs": [],
   "source": [
    "ls_df = df   # making a dataframe of landslides \n",
    "ls_df = ls_df.dropna(axis=0, subset=['admin_division_name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "front-sequence",
   "metadata": {},
   "source": [
    "### Performing data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "sharp-action",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data cleaning\n",
    "ls_df[\"admin_division_name\"].replace(\"Nāgāland\", \"Nagaland\",inplace = True) \n",
    "ls_df[\"admin_division_name\"].replace(\"Meghālaya\", \"Meghalaya\",inplace = True)\n",
    "ls_df[\"admin_division_name\"].replace(\"Tamil Nādu\", \"Tamil Nadu\",inplace = True)\n",
    "ls_df[\"admin_division_name\"].replace(\"Karnātaka\", \"Karnataka\",inplace = True)\n",
    "ls_df[\"admin_division_name\"].replace(\"Gujarāt\", \"Gujarat\",inplace = True)\n",
    "ls_df[\"admin_division_name\"].replace(\"Arunāchal Pradesh\", \"Arunachal Pradesh\",inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "acting-bundle",
   "metadata": {},
   "outputs": [],
   "source": [
    "state_df = ls_df[\"admin_division_name\"].value_counts()   # This gives the number of landslides that took place in every state over the years\n",
    "state_df = state_df.to_frame()\n",
    "state_df.reset_index(level=0, inplace=True)\n",
    "state_df.columns = ['State', 'Count']                    # Renaming the columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "starting-algebra",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kashmir</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Assam</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nagaland</td>\n",
       "      <td>65</td>\n",
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      ],
      "text/plain": [
       "              State  Count\n",
       "0           Kashmir    189\n",
       "1       Uttarakhand    167\n",
       "2  Himachal Pradesh    137\n",
       "3             Assam     74\n",
       "4          Nagaland     65"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "composed-peter",
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kashmir</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Assam</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nagaland</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Manipur</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Kerala</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sikkim</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Karnataka</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mizoram</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>West Bengal</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Goa</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Odisha</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NCT</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Orissa</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Gujarat</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Tripura</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Haryana</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>State of Odisha</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                State  Count\n",
       "0             Kashmir    189\n",
       "1         Uttarakhand    167\n",
       "2    Himachal Pradesh    137\n",
       "3               Assam     74\n",
       "4            Nagaland     65\n",
       "5         Maharashtra     54\n",
       "6             Manipur     47\n",
       "8              Kerala     43\n",
       "9   Arunachal Pradesh     40\n",
       "10         Tamil Nadu     32\n",
       "11             Sikkim     28\n",
       "12          Karnataka     28\n",
       "13          Meghalaya     25\n",
       "14            Mizoram     25\n",
       "15        West Bengal     69\n",
       "16                Goa     19\n",
       "17     Andhra Pradesh     15\n",
       "18          Rajasthan      5\n",
       "19             Odisha      5\n",
       "20                NCT      3\n",
       "21             Orissa      3\n",
       "22      Uttar Pradesh      2\n",
       "23            Gujarat      2\n",
       "24            Tripura      2\n",
       "25            Haryana      2\n",
       "26    State of Odisha      1\n",
       "27     Madhya Pradesh      1\n",
       "28              Bihar      1\n",
       "29          Jharkhand      1"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_df.at[15,\"Count\"] = 69   # Since the entries \"Bengal\" and \"West Bengal\" are same, therefore merging them as one entry.\n",
    "state_df.drop(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sophisticated-keeping",
   "metadata": {},
   "source": [
    "### Using GeoPandas to plot maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "italian-paste",
   "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>id</th>\n",
       "      <th>st_nm</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>POLYGON ((95.23643 26.68105, 95.19594 27.03612...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>Assam</td>\n",
       "      <td>POLYGON ((95.19594 27.03612, 95.08795 26.94578...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>POLYGON ((88.11357 26.54028, 88.28006 26.37640...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>POLYGON ((76.84208 30.76124, 76.83758 30.72552...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id                        st_nm  \\\n",
       "0  None  Andaman and Nicobar Islands   \n",
       "1  None            Arunachal Pradesh   \n",
       "2  None                        Assam   \n",
       "3  None                        Bihar   \n",
       "4  None                   Chandigarh   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...  \n",
       "1  POLYGON ((95.23643 26.68105, 95.19594 27.03612...  \n",
       "2  POLYGON ((95.19594 27.03612, 95.08795 26.94578...  \n",
       "3  POLYGON ((88.11357 26.54028, 88.28006 26.37640...  \n",
       "4  POLYGON ((76.84208 30.76124, 76.83758 30.72552...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp = r'Maps_with_python\\india-polygon.shp'\n",
    "map_df = gpd.read_file(fp)                          # Reads the shape file of India for plotting purpose\n",
    "map_df_copy = gpd.read_file(fp)\n",
    "map_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "nutritional-disposal",
   "metadata": {},
   "outputs": [],
   "source": [
    "state_df.at[0,\"State\"] = \"Jammu and Kashmir\"       # Renaming certain entries to avoid conflicts while merging\n",
    "state_df.at[20,\"State\"] = \"Delhi\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "national-activity",
   "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>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>st_nm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Andaman and Nicobar Islands</th>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arunachal Pradesh</th>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((95.23643 26.68105, 95.19594 27.03612...</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assam</th>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((95.19594 27.03612, 95.08795 26.94578...</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bihar</th>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((88.11357 26.54028, 88.28006 26.37640...</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chandigarh</th>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((76.84208 30.76124, 76.83758 30.72552...</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               id  \\\n",
       "st_nm                               \n",
       "Andaman and Nicobar Islands  None   \n",
       "Arunachal Pradesh            None   \n",
       "Assam                        None   \n",
       "Bihar                        None   \n",
       "Chandigarh                   None   \n",
       "\n",
       "                                                                      geometry  \\\n",
       "st_nm                                                                            \n",
       "Andaman and Nicobar Islands  MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...   \n",
       "Arunachal Pradesh            POLYGON ((95.23643 26.68105, 95.19594 27.03612...   \n",
       "Assam                        POLYGON ((95.19594 27.03612, 95.08795 26.94578...   \n",
       "Bihar                        POLYGON ((88.11357 26.54028, 88.28006 26.37640...   \n",
       "Chandigarh                   POLYGON ((76.84208 30.76124, 76.83758 30.72552...   \n",
       "\n",
       "                             Count  \n",
       "st_nm                               \n",
       "Andaman and Nicobar Islands    0.0  \n",
       "Arunachal Pradesh             40.0  \n",
       "Assam                         74.0  \n",
       "Bihar                          1.0  \n",
       "Chandigarh                     0.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merging the data\n",
    "merged = map_df.set_index('st_nm').join(state_df.set_index('State'))\n",
    "merged['Count'] = merged['Count'].replace(np.nan, 0)\n",
    "merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "informal-compiler",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2230d29d908>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create figure and axes for Matplotlib and set the title\n",
    "fig, ax = plt.subplots(1, figsize=(10, 10))\n",
    "ax.axis('off')\n",
    "ax.set_title('Number of landslides in India state-wise', fontdict={'fontsize': '20', 'fontweight' : '10'})\n",
    "\n",
    "# Plot the figure\n",
    "merged.plot(column='Count',cmap='YlOrRd', linewidth=0.8, ax=ax, edgecolor='0', \\\n",
    "            legend=True,markersize=[39.739192, -104.990337], legend_kwds={'label': \"Number of landslides\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fourth-daily",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finding the latitudes and longitudes of landslides that took place in India\n",
    "lat = df['latitude'].tolist()      \n",
    "long = df['longitude'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "married-booth",
   "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>State</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andaman and Nicobar</td>\n",
       "      <td>92.904257</td>\n",
       "      <td>11.845455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>79.973851</td>\n",
       "      <td>16.557796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>94.662314</td>\n",
       "      <td>27.729050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Assam</td>\n",
       "      <td>92.685686</td>\n",
       "      <td>26.336086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>85.625341</td>\n",
       "      <td>25.766303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 State  Longitude   Latitude\n",
       "0  Andaman and Nicobar  92.904257  11.845455\n",
       "1       Andhra Pradesh  79.973851  16.557796\n",
       "2    Arunachal Pradesh  94.662314  27.729050\n",
       "3                Assam  92.685686  26.336086\n",
       "4                Bihar  85.625341  25.766303"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "india_state_df = pd.read_csv('state wise lat and long.csv')     # Reading the coordinates of Indian states for plotting purpose\n",
    "india_state_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "permanent-conclusion",
   "metadata": {},
   "outputs": [],
   "source": [
    "india_state_df.at[0,\"State\"] = \"Andaman and Nicobar Islands\"    # Renaming certaing entries to avoid conflicts while merging\n",
    "india_state_df.at[25,\"State\"] = \"Odisha\"  \n",
    "india_state_df.at[33,\"State\"] = \"Uttarakhand\"  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "finnish-producer",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merge the data\n",
    "state_merged_df = map_df.set_index('st_nm').join(india_state_df.set_index('State'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "curious-baghdad",
   "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>st_nm</th>\n",
       "      <th>id</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...</td>\n",
       "      <td>92.904257</td>\n",
       "      <td>11.845455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((95.23643 26.68105, 95.19594 27.03612...</td>\n",
       "      <td>94.662314</td>\n",
       "      <td>27.729050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((95.19594 27.03612, 95.08795 26.94578...</td>\n",
       "      <td>92.685686</td>\n",
       "      <td>26.336086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((88.11357 26.54028, 88.28006 26.37640...</td>\n",
       "      <td>85.625341</td>\n",
       "      <td>25.766303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((76.84208 30.76124, 76.83758 30.72552...</td>\n",
       "      <td>76.758725</td>\n",
       "      <td>30.742600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         st_nm    id  \\\n",
       "0  Andaman and Nicobar Islands  None   \n",
       "1            Arunachal Pradesh  None   \n",
       "2                        Assam  None   \n",
       "3                        Bihar  None   \n",
       "4                   Chandigarh  None   \n",
       "\n",
       "                                            geometry  Longitude   Latitude  \n",
       "0  MULTIPOLYGON (((93.84831 7.24028, 93.92705 7.0...  92.904257  11.845455  \n",
       "1  POLYGON ((95.23643 26.68105, 95.19594 27.03612...  94.662314  27.729050  \n",
       "2  POLYGON ((95.19594 27.03612, 95.08795 26.94578...  92.685686  26.336086  \n",
       "3  POLYGON ((88.11357 26.54028, 88.28006 26.37640...  85.625341  25.766303  \n",
       "4  POLYGON ((76.84208 30.76124, 76.83758 30.72552...  76.758725  30.742600  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_merged_df.reset_index(level=0, inplace=True)\n",
    "state_merged_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "operating-electron",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Handling missng values\n",
    "state_merged_df.at[36,\"Latitude\"] = 34.2268\n",
    "state_merged_df.at[36,\"Longitude\"] = 77.5619\n",
    "state_merged_df.at[28,\"Latitude\"] = 18.1124\n",
    "state_merged_df.at[28,\"Longitude\"] = 79.0193"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "solid-simple",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "geometry = [Point(xy) for xy in zip(long,lat)]\n",
    "fig,ax = plt.subplots(figsize = (13,13))\n",
    "ax.axis('off')\n",
    "ax.set_title('Map of India showing where landslides have occured over the years', fontdict={'fontsize': '20', 'fontweight' : '10'})\n",
    "\n",
    "map_df.boundary.plot(ax = ax)\n",
    "\n",
    "geo_df = gpd.GeoDataFrame(geometry = geometry)\n",
    "\n",
    "g = geo_df.plot(ax = ax, markersize = 50, color = 'red',marker = '*',label = 'Landslide')\n",
    "                \n",
    "for i in range(len(state_merged_df)):\n",
    "    plt.text(state_merged_df.Longitude[i],state_merged_df.Latitude[i],\"{}\".format(state_merged_df.st_nm[i]),size=10)\n",
    "    \n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "applicable-husband",
   "metadata": {},
   "source": [
    "### The above analysis was done at national level. However one can perform state-wise landslide analysis as well. Below is an example for the state of Assam."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "quarterly-contribution",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finding the latitudes and longitudes of landlides that took place in Assam\n",
    "lat = df[df['admin_division_name'] == \"Assam\"]['latitude'].tolist()      \n",
    "long = df[df['admin_division_name'] == \"Assam\"]['longitude'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "dental-membrane",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "champion-academy",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(long)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "going-valuable",
   "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>DISTRICT</th>\n",
       "      <th>ST_NM</th>\n",
       "      <th>ST_CEN_CD</th>\n",
       "      <th>DT_CEN_CD</th>\n",
       "      <th>censuscode</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adilabad</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>532</td>\n",
       "      <td>POLYGON ((78.84972 19.76010, 78.85102 19.75945...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agra</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>146</td>\n",
       "      <td>POLYGON ((78.19803 27.40280, 78.19804 27.40278...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ahmadabad</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>474</td>\n",
       "      <td>MULTIPOLYGON (((72.03456 23.50527, 72.03337 23...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ahmadnagar</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>522</td>\n",
       "      <td>POLYGON ((74.67333 19.94670, 74.67393 19.93509...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aizawl</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>283</td>\n",
       "      <td>POLYGON ((92.98749 24.40453, 92.99107 24.40236...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     DISTRICT           ST_NM  ST_CEN_CD  DT_CEN_CD  censuscode  \\\n",
       "0    Adilabad  Andhra Pradesh         28          1         532   \n",
       "1        Agra   Uttar Pradesh          9         15         146   \n",
       "2   Ahmadabad         Gujarat         24          7         474   \n",
       "3  Ahmadnagar     Maharashtra         27         26         522   \n",
       "4      Aizawl         Mizoram         15          3         283   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((78.84972 19.76010, 78.85102 19.75945...  \n",
       "1  POLYGON ((78.19803 27.40280, 78.19804 27.40278...  \n",
       "2  MULTIPOLYGON (((72.03456 23.50527, 72.03337 23...  \n",
       "3  POLYGON ((74.67333 19.94670, 74.67393 19.93509...  \n",
       "4  POLYGON ((92.98749 24.40453, 92.99107 24.40236...  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp = r'Districts shape file\\Census_2011\\2011_Dist.shp'\n",
    "assam_df = gpd.read_file(fp)                           # Reads the shape file of Assam for plotting purpose\n",
    "assam_df .head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "smooth-leather",
   "metadata": {},
   "outputs": [],
   "source": [
    "assam_df  = assam_df[assam_df.ST_NM == \"Assam\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "pacific-sally",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reads the data of latitudes and longitudes for the districts of Assam\n",
    "district_df = pd.read_csv('district wise lat and long.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "frozen-conflict",
   "metadata": {},
   "outputs": [],
   "source": [
    "district_df = district_df[district_df.State == \"Assam\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "protected-london",
   "metadata": {},
   "outputs": [],
   "source": [
    "district_df.drop(['Population in 2001', 'Population in 2011'], axis='columns', inplace=True)  # removing unnecessary data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "encouraging-crossing",
   "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>State</th>\n",
       "      <th>District</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Barpeta</td>\n",
       "      <td>26.427872</td>\n",
       "      <td>90.979120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Bongaigaon</td>\n",
       "      <td>26.450125</td>\n",
       "      <td>90.673430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Cachar</td>\n",
       "      <td>24.815571</td>\n",
       "      <td>92.868497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Darrang</td>\n",
       "      <td>26.584632</td>\n",
       "      <td>92.041413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Dhemaji</td>\n",
       "      <td>27.586533</td>\n",
       "      <td>94.713369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    State    District   Latitude  Longitude\n",
       "24  Assam     Barpeta  26.427872  90.979120\n",
       "25  Assam  Bongaigaon  26.450125  90.673430\n",
       "26  Assam      Cachar  24.815571  92.868497\n",
       "27  Assam     Darrang  26.584632  92.041413\n",
       "28  Assam     Dhemaji  27.586533  94.713369"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "district_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "sticky-invention",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ST_NM</th>\n",
       "      <th>ST_CEN_CD</th>\n",
       "      <th>DT_CEN_CD</th>\n",
       "      <th>censuscode</th>\n",
       "      <th>geometry</th>\n",
       "      <th>State</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DISTRICT</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Barpeta</th>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>303</td>\n",
       "      <td>POLYGON ((91.16927 26.65240, 91.16787 26.64642...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.427872</td>\n",
       "      <td>90.979120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bongaigaon</th>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>319</td>\n",
       "      <td>POLYGON ((90.85418 26.52336, 90.85336 26.52153...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.450125</td>\n",
       "      <td>90.673430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cachar</th>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>316</td>\n",
       "      <td>POLYGON ((93.25235 24.97158, 93.25237 24.96905...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>24.815571</td>\n",
       "      <td>92.868497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Darrang</th>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>325</td>\n",
       "      <td>POLYGON ((92.32865 26.67036, 92.33490 26.66867...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.584632</td>\n",
       "      <td>92.041413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dhemaji</th>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "      <td>308</td>\n",
       "      <td>POLYGON ((94.58063 27.21371, 94.57922 27.21355...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>27.586533</td>\n",
       "      <td>94.713369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ST_NM  ST_CEN_CD  DT_CEN_CD  censuscode  \\\n",
       "DISTRICT                                              \n",
       "Barpeta     Assam         18          4         303   \n",
       "Bongaigaon  Assam         18         20         319   \n",
       "Cachar      Assam         18         17         316   \n",
       "Darrang     Assam         18         26         325   \n",
       "Dhemaji     Assam         18          9         308   \n",
       "\n",
       "                                                     geometry  State  \\\n",
       "DISTRICT                                                               \n",
       "Barpeta     POLYGON ((91.16927 26.65240, 91.16787 26.64642...  Assam   \n",
       "Bongaigaon  POLYGON ((90.85418 26.52336, 90.85336 26.52153...  Assam   \n",
       "Cachar      POLYGON ((93.25235 24.97158, 93.25237 24.96905...  Assam   \n",
       "Darrang     POLYGON ((92.32865 26.67036, 92.33490 26.66867...  Assam   \n",
       "Dhemaji     POLYGON ((94.58063 27.21371, 94.57922 27.21355...  Assam   \n",
       "\n",
       "             Latitude  Longitude  \n",
       "DISTRICT                          \n",
       "Barpeta     26.427872  90.979120  \n",
       "Bongaigaon  26.450125  90.673430  \n",
       "Cachar      24.815571  92.868497  \n",
       "Darrang     26.584632  92.041413  \n",
       "Dhemaji     27.586533  94.713369  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge the data\n",
    "merged_df = assam_df.set_index('DISTRICT').join(district_df.set_index('District'))\n",
    "merged_df.head()\n",
    "merged_df = merged_df[merged_df.Latitude.notna()]\n",
    "merged_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "innovative-smart",
   "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>DISTRICT</th>\n",
       "      <th>ST_NM</th>\n",
       "      <th>ST_CEN_CD</th>\n",
       "      <th>DT_CEN_CD</th>\n",
       "      <th>censuscode</th>\n",
       "      <th>geometry</th>\n",
       "      <th>State</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Barpeta</td>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>303</td>\n",
       "      <td>POLYGON ((91.16927 26.65240, 91.16787 26.64642...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.427872</td>\n",
       "      <td>90.979120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bongaigaon</td>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>319</td>\n",
       "      <td>POLYGON ((90.85418 26.52336, 90.85336 26.52153...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.450125</td>\n",
       "      <td>90.673430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cachar</td>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>316</td>\n",
       "      <td>POLYGON ((93.25235 24.97158, 93.25237 24.96905...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>24.815571</td>\n",
       "      <td>92.868497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Darrang</td>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>325</td>\n",
       "      <td>POLYGON ((92.32865 26.67036, 92.33490 26.66867...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>26.584632</td>\n",
       "      <td>92.041413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dhemaji</td>\n",
       "      <td>Assam</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "      <td>308</td>\n",
       "      <td>POLYGON ((94.58063 27.21371, 94.57922 27.21355...</td>\n",
       "      <td>Assam</td>\n",
       "      <td>27.586533</td>\n",
       "      <td>94.713369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     DISTRICT  ST_NM  ST_CEN_CD  DT_CEN_CD  censuscode  \\\n",
       "0     Barpeta  Assam         18          4         303   \n",
       "1  Bongaigaon  Assam         18         20         319   \n",
       "2      Cachar  Assam         18         17         316   \n",
       "3     Darrang  Assam         18         26         325   \n",
       "4     Dhemaji  Assam         18          9         308   \n",
       "\n",
       "                                            geometry  State   Latitude  \\\n",
       "0  POLYGON ((91.16927 26.65240, 91.16787 26.64642...  Assam  26.427872   \n",
       "1  POLYGON ((90.85418 26.52336, 90.85336 26.52153...  Assam  26.450125   \n",
       "2  POLYGON ((93.25235 24.97158, 93.25237 24.96905...  Assam  24.815571   \n",
       "3  POLYGON ((92.32865 26.67036, 92.33490 26.66867...  Assam  26.584632   \n",
       "4  POLYGON ((94.58063 27.21371, 94.57922 27.21355...  Assam  27.586533   \n",
       "\n",
       "   Longitude  \n",
       "0  90.979120  \n",
       "1  90.673430  \n",
       "2  92.868497  \n",
       "3  92.041413  \n",
       "4  94.713369  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_df.reset_index(level=0, inplace=True)\n",
    "merged_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "continental-marshall",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "geometry = [Point(xy) for xy in zip(long,lat)]\n",
    "fig,ax = plt.subplots(figsize = (15,15))\n",
    "ax.axis('off')\n",
    "ax.set_title('Map of Assam showing where landslides have occured over the years', fontdict={'fontsize': '20', 'fontweight' : '10'})\n",
    "\n",
    "assam_df.boundary.plot(ax = ax)\n",
    "\n",
    "geo_df = gpd.GeoDataFrame(geometry = geometry)\n",
    "\n",
    "g = geo_df.plot(ax = ax, markersize = 50, color = 'red',marker = '*',label = 'Landslide')\n",
    "\n",
    "for i in range(len(district_df)):\n",
    "    plt.text(merged_df.Longitude[i],merged_df.Latitude[i],\"{}\".format(merged_df.DISTRICT[i]),size=10)\n",
    "    \n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "republican-spider",
   "metadata": {},
   "source": [
    "## Task 2 : A plot showing the total number of landslides that have happened in India every year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "novel-subscription",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_values = df.groupby(['Year']).country_name.count().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "australian-nashville",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[66, 46, 48, 226, 151, 75, 170, 68, 184, 68]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "skilled-calvin",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_values = df.groupby(['Year']).country_name.count().index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "working-electron",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "returning-advance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,8))\n",
    "plt.bar(x_values,y_values, color = \"green\")\n",
    "plt.xlabel(\"year\")\n",
    "plt.ylabel(\"No of landslide\")\n",
    "plt.title(\"Number of lanslides in India year-wise\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}