Pari-Location-Map.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# People's Archive of Rural India (PARI) Coverage Visualization\n",
    "\n",
    "![Geomapping PARI Coverage](download.png)\n",
    "\n",
    "* PARI's articles, faces, albums and images is from rural India. We want to see how much of rural India has PARI covered?\n",
    "* Specifically, which districts of the country have NOT been covered? \n",
    "* Is there geographical pattern to our coverage, is there a geographical pattern to our misses?\n",
    "* Is there a geographical pattern to the Water Crisis, covered extensively by PARI?\n",
    "\n",
    "To do this we need to map our coverage on a map of India. But we have a problem. The names of location in our database and the names of location in the map from the lovely folks at Datameet have spelling differences. There is therefore a key mismatch in many cases and a lot of important locations are dropped.\n",
    "\n",
    "\n",
    "## The Transliteration Problem\n",
    "At PARI we have articles from thousands of locations. Location names in India is a peculiar phenomenon. Here are a few issues that one sees with a location database:\n",
    "\n",
    "* Indian names are transliterated in a diverse way by people. This is particularly true for Roman transliteration. Although there are international standards for transliteration. Most folks apply the Sir Roger Dowler technique -- Siraj ud Daulah -- that is transliterate by ear. The problem is that a number of Phd theses pervade the space between a Marathi ear and a Punjabi tongue. I mean, each Indian linguistic group has their own perception of what lettes in the English alphabet sound like.\n",
    "\n",
    "    Odia tongue says Buldhana, the Punjabi ear hears Buldana. The Malayalali tongue says Pathanamtitta, the Malaylayali ear hears Pattanamtitta\n",
    "\n",
    "    Yours truly has transliterated both with his right Marathi and left Konkani ear. So I don't exactly know what they said. Rest assured Buldhana is in Maharashtra and what I say matters. But then people from Buldhana might disagree. They do. \n",
    "\n",
    "    And then of course, a number of Bengali tongues scream and shout on whether it is Nilgiris or The Nilgiris (but then that is not a transliteration problem. Or is it? Let's not get into a debate on that. Not with the Bengalis at any rate)\n",
    "\n",
    "\n",
    "* In addition to Phd theses, between the Punjabi tongue and the Marathi ear also stands the ubiquitous and all powerful Indian bureaucracy. Bureaucrats, as has been shown by paleontologists, are also anatomically, modern homo sapiens. And hence must have their have their own cultural-linuistic backgrounds. Every major institution also has its own cupboards, look-up tables, lexicons, ready reckoners, dialects, jargon and argots. Joke. \n",
    "\n",
    "    Suffice to say that the Census of India calls Darjeeling what the Election Commission calls Darjiling. The Meterological Department calls Purulia when the Ministry of Human Resources Development calls Puruliya. It is another matter that the HRD ministry might soon be called Department of Education. I digress.\n",
    "\n",
    "    Allahabad becomes Prayagraj. Gurgaon becomes Gurugram. \n",
    "\n",
    "* And then there is the problem of taxonomy. Places migrate from districts to other districts. They graduate from a mere district to a full-blown division. Gerrymandering. Redistricting. All that good stuff.\n",
    "\n",
    "* Besides millions of small hamlets where Dalits and Adivasis live are not recorded at all. They are dismissed as settlements of ostracized communities. How does one spell their names?\n",
    "\n",
    "## Fusion of Tables\n",
    "\n",
    "If the schwa-conscious Survey of India calls a place Chamarajanagar in the district map of India but the entomologically inclined and etymologically insensitive Department of Horticulture calls it Chamrajnagar, then --the district that was once a part of the larger Mysore district and was formerly called \"Sri Arikottara\"-- has no chance of appearing on the map of gardens in India. Esepcially if the map is drafted by a machine or a careless cartographer.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Connecting to PARI Postgres DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pandas.io.sql as sqlio\n",
    "import psycopg2\n",
    "from gender_detector import gender_detector as gd\n",
    "\n",
    "def getData(file):\n",
    "    with open (file, 'r') as myfile:\n",
    "        data = myfile.read()\n",
    "        return data\n",
    "    \n",
    "def getDf():\n",
    "    try:\n",
    "        cred = getData('../credentials.txt')\n",
    "        conn =psycopg2.connect(cred)\n",
    "        sql = getData('../query.txt')\n",
    "        df = sqlio.read_sql_query(sql, conn)\n",
    "\n",
    "    except (Exception, psycopg2.Error) as error :\n",
    "        print (\"Error while connecting to PostgreSQL\", error)\n",
    "    finally:\n",
    "        #closing database connection.\n",
    "        if(conn):\n",
    "            conn.close()\n",
    "#                 print(\"PostgreSQL connection is closed\")\n",
    "        return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "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>name</th>\n",
       "      <th>slug</th>\n",
       "      <th>st_x</th>\n",
       "      <th>st_y</th>\n",
       "      <th>district</th>\n",
       "      <th>state</th>\n",
       "      <th>region</th>\n",
       "      <th>panchayat</th>\n",
       "      <th>sub_district_type_id</th>\n",
       "      <th>sub_district_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>969</td>\n",
       "      <td>Maem</td>\n",
       "      <td>969-maem</td>\n",
       "      <td>15.568798</td>\n",
       "      <td>73.924225</td>\n",
       "      <td>North Goa</td>\n",
       "      <td>Goa</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3.0</td>\n",
       "      <td>Bicholim</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>571</td>\n",
       "      <td>Mohanpur</td>\n",
       "      <td>571-mohanpur</td>\n",
       "      <td>22.767428</td>\n",
       "      <td>88.388345</td>\n",
       "      <td>North 24 Parganas</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Barrackpore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>568</td>\n",
       "      <td>Sana Hill Top</td>\n",
       "      <td>568-sana-hill-top</td>\n",
       "      <td>27.059356</td>\n",
       "      <td>88.469454</td>\n",
       "      <td>Kalimpong</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>593</td>\n",
       "      <td>Simayel</td>\n",
       "      <td>593-simayel</td>\n",
       "      <td>29.446408</td>\n",
       "      <td>79.559641</td>\n",
       "      <td>Nainital</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Ramgarh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>47</td>\n",
       "      <td>Sundergarh</td>\n",
       "      <td>47-sundergarh</td>\n",
       "      <td>22.120000</td>\n",
       "      <td>84.030000</td>\n",
       "      <td>Sundargarh</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1899</th>\n",
       "      <td>1970</td>\n",
       "      <td>Teliarsala</td>\n",
       "      <td>1970-teliarsala</td>\n",
       "      <td>21.888042</td>\n",
       "      <td>85.586061</td>\n",
       "      <td>Kendujhar</td>\n",
       "      <td>Odisha</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>Jhumpura</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900</th>\n",
       "      <td>1976</td>\n",
       "      <td>Balipasi</td>\n",
       "      <td>1976-balipasi</td>\n",
       "      <td>21.589232</td>\n",
       "      <td>85.668784</td>\n",
       "      <td>Kendujhar</td>\n",
       "      <td>Odisha</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>Saharapada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>1981</td>\n",
       "      <td>Phanaphana</td>\n",
       "      <td>1981-phanaphana</td>\n",
       "      <td>19.984913</td>\n",
       "      <td>86.017066</td>\n",
       "      <td>Puri</td>\n",
       "      <td>Odisha</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1902</th>\n",
       "      <td>1990</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>1990-rajkot</td>\n",
       "      <td>22.305199</td>\n",
       "      <td>70.802834</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1903</th>\n",
       "      <td>1991</td>\n",
       "      <td>Karhe</td>\n",
       "      <td>1991-karhe</td>\n",
       "      <td>19.697875</td>\n",
       "      <td>72.768694</td>\n",
       "      <td>Palghar</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1904 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id           name               slug       st_x       st_y  \\\n",
       "0      969           Maem           969-maem  15.568798  73.924225   \n",
       "1      571       Mohanpur       571-mohanpur  22.767428  88.388345   \n",
       "2      568  Sana Hill Top  568-sana-hill-top  27.059356  88.469454   \n",
       "3      593        Simayel        593-simayel  29.446408  79.559641   \n",
       "4       47     Sundergarh      47-sundergarh  22.120000  84.030000   \n",
       "...    ...            ...                ...        ...        ...   \n",
       "1899  1970     Teliarsala    1970-teliarsala  21.888042  85.586061   \n",
       "1900  1976       Balipasi      1976-balipasi  21.589232  85.668784   \n",
       "1901  1981     Phanaphana    1981-phanaphana  19.984913  86.017066   \n",
       "1902  1990         Rajkot        1990-rajkot  22.305199  70.802834   \n",
       "1903  1991          Karhe         1991-karhe  19.697875  72.768694   \n",
       "\n",
       "               district        state region panchayat  sub_district_type_id  \\\n",
       "0             North Goa          Goa                                    3.0   \n",
       "1     North 24 Parganas  West Bengal   None      None                   1.0   \n",
       "2             Kalimpong  West Bengal   None      None                   NaN   \n",
       "3              Nainital  Uttarakhand   None      None                   4.0   \n",
       "4            Sundargarh       Odisha   None      None                   NaN   \n",
       "...                 ...          ...    ...       ...                   ...   \n",
       "1899          Kendujhar       Odisha                                    1.0   \n",
       "1900          Kendujhar       Odisha                                    1.0   \n",
       "1901               Puri       Odisha                                    1.0   \n",
       "1902             Rajkot      Gujarat                                    NaN   \n",
       "1903            Palghar  Maharashtra                                    NaN   \n",
       "\n",
       "     sub_district_name  \n",
       "0             Bicholim  \n",
       "1          Barrackpore  \n",
       "2                 None  \n",
       "3              Ramgarh  \n",
       "4                 None  \n",
       "...                ...  \n",
       "1899          Jhumpura  \n",
       "1900        Saharapada  \n",
       "1901               Gop  \n",
       "1902                    \n",
       "1903                    \n",
       "\n",
       "[1904 rows x 11 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = getDf()\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of Districts that PARI has been to"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "434\n"
     ]
    }
   ],
   "source": [
    "print(df.district.unique().size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save this table to a CSV file for future reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_file = \"district_pari.csv\"\n",
    "df.to_csv(csv_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now let's plot color these districts on the District Map of India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_data = gpd.read_file('india_district.geojson')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Perhaps due to the redistricting and change in statehood of the former state of J&K, the district map of the state is not correct.\n",
    "\n",
    "This district map has been obtained due to the good work of Geohacker https://github.com/geohacker/india/blob/master/district/india_district.geojson\n",
    "\n",
    "It DOES NOT REPRESENT the factual political boundaries of Republic of India.\n",
    "\n",
    "I would be happy to change this geojson file with a more representative and legally accurate district map of India. It was very difficult to find one. For this experiment I felt this should suffice. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = geo_data.plot(color='crimson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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_0</th>\n",
       "      <th>ISO</th>\n",
       "      <th>NAME_0</th>\n",
       "      <th>ID_1</th>\n",
       "      <th>NAME_1</th>\n",
       "      <th>ID_2</th>\n",
       "      <th>NAME_2</th>\n",
       "      <th>NL_NAME_2</th>\n",
       "      <th>VARNAME_2</th>\n",
       "      <th>TYPE_2</th>\n",
       "      <th>ENGTYPE_2</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman and Nicobar</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman Islands</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((92.51583 10.89764, 92.51611 10...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman and Nicobar</td>\n",
       "      <td>2</td>\n",
       "      <td>Nicobar Islands</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>3</td>\n",
       "      <td>Adilabad</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((78.33625 19.88319, 78.34669 19.88140...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>4</td>\n",
       "      <td>Anantapur</td>\n",
       "      <td>None</td>\n",
       "      <td>Anantpur, Ananthapur</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((77.69000 15.17628, 77.69378 15.17347...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>5</td>\n",
       "      <td>Chittoor</td>\n",
       "      <td>None</td>\n",
       "      <td>Chitoor|Chittor</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((78.47611 13.93680, 78.48208 13.93007...</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>590</td>\n",
       "      <td>North 24 Parganas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.83472 21.60722, 88.83500 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>591</td>\n",
       "      <td>Puruliya</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((86.89407 23.63799, 86.88847 23.62729...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>592</td>\n",
       "      <td>South 24 Parganas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.01861 21.57278, 88.01889 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>593</td>\n",
       "      <td>Uttar Dinajpur</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.45847 25.59628, 88.45979 25...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>594</td>\n",
       "      <td>West Midnapore</td>\n",
       "      <td>None</td>\n",
       "      <td>Paschim Medinipur</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((87.42143 22.92110, 87.44063 22.91789...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>594 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ID_0  ISO NAME_0  ID_1               NAME_1  ID_2             NAME_2  \\\n",
       "0     105  IND  India     1  Andaman and Nicobar     1    Andaman Islands   \n",
       "1     105  IND  India     1  Andaman and Nicobar     2    Nicobar Islands   \n",
       "2     105  IND  India     2       Andhra Pradesh     3           Adilabad   \n",
       "3     105  IND  India     2       Andhra Pradesh     4          Anantapur   \n",
       "4     105  IND  India     2       Andhra Pradesh     5           Chittoor   \n",
       "..    ...  ...    ...   ...                  ...   ...                ...   \n",
       "589   105  IND  India    35          West Bengal   590  North 24 Parganas   \n",
       "590   105  IND  India    35          West Bengal   591           Puruliya   \n",
       "591   105  IND  India    35          West Bengal   592  South 24 Parganas   \n",
       "592   105  IND  India    35          West Bengal   593     Uttar Dinajpur   \n",
       "593   105  IND  India    35          West Bengal   594     West Midnapore   \n",
       "\n",
       "    NL_NAME_2             VARNAME_2    TYPE_2 ENGTYPE_2  \\\n",
       "0        None                  None  District  District   \n",
       "1        None                  None  District  District   \n",
       "2        None                  None  District  District   \n",
       "3        None  Anantpur, Ananthapur  District  District   \n",
       "4        None       Chitoor|Chittor  District  District   \n",
       "..        ...                   ...       ...       ...   \n",
       "589      None                  None  District  District   \n",
       "590      None                  None  District  District   \n",
       "591      None                  None  District  District   \n",
       "592      None                  None  District  District   \n",
       "593      None     Paschim Medinipur  District  District   \n",
       "\n",
       "                                              geometry  \n",
       "0    MULTIPOLYGON (((92.51583 10.89764, 92.51611 10...  \n",
       "1    MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8...  \n",
       "2    POLYGON ((78.33625 19.88319, 78.34669 19.88140...  \n",
       "3    POLYGON ((77.69000 15.17628, 77.69378 15.17347...  \n",
       "4    POLYGON ((78.47611 13.93680, 78.48208 13.93007...  \n",
       "..                                                 ...  \n",
       "589  MULTIPOLYGON (((88.83472 21.60722, 88.83500 21...  \n",
       "590  POLYGON ((86.89407 23.63799, 86.88847 23.62729...  \n",
       "591  MULTIPOLYGON (((88.01861 21.57278, 88.01889 21...  \n",
       "592  MULTIPOLYGON (((88.45847 25.59628, 88.45979 25...  \n",
       "593  POLYGON ((87.42143 22.92110, 87.44063 22.91789...  \n",
       "\n",
       "[594 rows x 12 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I agree this seems like a useless step but I do this to avoid constant querying of the database. Instead I cache the query on a local readable csv file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(csv_file, index_col=0, header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "434"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.district.unique().size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This plot is obviously inadequate. It has missed many districts due to the mismatch of the district name string between the map and the database resultset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_inner = pd.merge(geo_data, data, right_on='district', left_on='NAME_2', how='inner')\n",
    "ax = df_inner.plot(color='crimson')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The number of districts in the query result set  that found a match on the district map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "268\n"
     ]
    }
   ],
   "source": [
    "unfuzzy = df_inner.district.unique().size\n",
    "print(unfuzzy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the number of districts that PARI covered but could not find a corresponding district polygon in the gejson file. This could be due to various reasons -- one prominent reason being transliteration issues described above. Other reasons could be:\n",
    "* change in name of the district. \n",
    "* The district does not exist anymore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "166"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_outer = pd.merge(data, geo_data, left_on='district', right_on='NAME_2', how='outer')\n",
    "misspelt = df_outer[df_outer['geometry'].isnull()]\n",
    "misspelt.district.unique().size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We first try out a library called Soundex. It can be used to identify homophones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "D62452\n",
      "D62452\n"
     ]
    }
   ],
   "source": [
    "from libindic.soundex import Soundex\n",
    "soundex = Soundex()\n",
    "soundex.soundex(u\"कारटा\")\n",
    "soundex.soundex(u\"कार्टा\")\n",
    "\n",
    "print(soundex.soundex(u\"Darjeeling\"))\n",
    "print(soundex.soundex(u\"Durjalink\"))\n",
    "# soundex.compare(u\"कारटा\", u\"कार्टा\")\n",
    "# soundex.compare(u\"Darjeeling\", u\"Darjiling\")\n",
    "\n",
    "# for x, y in misspelt.iterrows():\n",
    "#         print(y[\"district\"], soundex.soundex(y[\"district\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This is how the Geojson file looks in Geopandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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_0</th>\n",
       "      <th>ISO</th>\n",
       "      <th>NAME_0</th>\n",
       "      <th>ID_1</th>\n",
       "      <th>NAME_1</th>\n",
       "      <th>ID_2</th>\n",
       "      <th>NAME_2</th>\n",
       "      <th>NL_NAME_2</th>\n",
       "      <th>VARNAME_2</th>\n",
       "      <th>TYPE_2</th>\n",
       "      <th>ENGTYPE_2</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman and Nicobar</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman Islands</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((92.51583 10.89764, 92.51611 10...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>1</td>\n",
       "      <td>Andaman and Nicobar</td>\n",
       "      <td>2</td>\n",
       "      <td>Nicobar Islands</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>3</td>\n",
       "      <td>Adilabad</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((78.33625 19.88319, 78.34669 19.88140...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>4</td>\n",
       "      <td>Anantapur</td>\n",
       "      <td>None</td>\n",
       "      <td>Anantpur, Ananthapur</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((77.69000 15.17628, 77.69378 15.17347...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>5</td>\n",
       "      <td>Chittoor</td>\n",
       "      <td>None</td>\n",
       "      <td>Chitoor|Chittor</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((78.47611 13.93680, 78.48208 13.93007...</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>590</td>\n",
       "      <td>North 24 Parganas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.83472 21.60722, 88.83500 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>591</td>\n",
       "      <td>Puruliya</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((86.89407 23.63799, 86.88847 23.62729...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>592</td>\n",
       "      <td>South 24 Parganas</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.01861 21.57278, 88.01889 21...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>593</td>\n",
       "      <td>Uttar Dinajpur</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>MULTIPOLYGON (((88.45847 25.59628, 88.45979 25...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>105</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>35</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>594</td>\n",
       "      <td>West Midnapore</td>\n",
       "      <td>None</td>\n",
       "      <td>Paschim Medinipur</td>\n",
       "      <td>District</td>\n",
       "      <td>District</td>\n",
       "      <td>POLYGON ((87.42143 22.92110, 87.44063 22.91789...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>594 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ID_0  ISO NAME_0  ID_1               NAME_1  ID_2             NAME_2  \\\n",
       "0     105  IND  India     1  Andaman and Nicobar     1    Andaman Islands   \n",
       "1     105  IND  India     1  Andaman and Nicobar     2    Nicobar Islands   \n",
       "2     105  IND  India     2       Andhra Pradesh     3           Adilabad   \n",
       "3     105  IND  India     2       Andhra Pradesh     4          Anantapur   \n",
       "4     105  IND  India     2       Andhra Pradesh     5           Chittoor   \n",
       "..    ...  ...    ...   ...                  ...   ...                ...   \n",
       "589   105  IND  India    35          West Bengal   590  North 24 Parganas   \n",
       "590   105  IND  India    35          West Bengal   591           Puruliya   \n",
       "591   105  IND  India    35          West Bengal   592  South 24 Parganas   \n",
       "592   105  IND  India    35          West Bengal   593     Uttar Dinajpur   \n",
       "593   105  IND  India    35          West Bengal   594     West Midnapore   \n",
       "\n",
       "    NL_NAME_2             VARNAME_2    TYPE_2 ENGTYPE_2  \\\n",
       "0        None                  None  District  District   \n",
       "1        None                  None  District  District   \n",
       "2        None                  None  District  District   \n",
       "3        None  Anantpur, Ananthapur  District  District   \n",
       "4        None       Chitoor|Chittor  District  District   \n",
       "..        ...                   ...       ...       ...   \n",
       "589      None                  None  District  District   \n",
       "590      None                  None  District  District   \n",
       "591      None                  None  District  District   \n",
       "592      None                  None  District  District   \n",
       "593      None     Paschim Medinipur  District  District   \n",
       "\n",
       "                                              geometry  \n",
       "0    MULTIPOLYGON (((92.51583 10.89764, 92.51611 10...  \n",
       "1    MULTIPOLYGON (((93.78773 6.85264, 93.78849 6.8...  \n",
       "2    POLYGON ((78.33625 19.88319, 78.34669 19.88140...  \n",
       "3    POLYGON ((77.69000 15.17628, 77.69378 15.17347...  \n",
       "4    POLYGON ((78.47611 13.93680, 78.48208 13.93007...  \n",
       "..                                                 ...  \n",
       "589  MULTIPOLYGON (((88.83472 21.60722, 88.83500 21...  \n",
       "590  POLYGON ((86.89407 23.63799, 86.88847 23.62729...  \n",
       "591  MULTIPOLYGON (((88.01861 21.57278, 88.01889 21...  \n",
       "592  MULTIPOLYGON (((88.45847 25.59628, 88.45979 25...  \n",
       "593  POLYGON ((87.42143 22.92110, 87.44063 22.91789...  \n",
       "\n",
       "[594 rows x 12 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## One automated way of matching a string like \"Darjeeling\" with \"Darjiling\" is by using edit distance algo called Levenshtein distance. A threshold of 0.8 seems to work okay."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import Levenshtein as lev\n",
    "from fuzzywuzzy import fuzz\n",
    "import csv\n",
    "import codecs\n",
    "\n",
    "dist_function = lambda x, y: (lev.ratio(x.lower(), y.lower()))\n",
    "# dist_function = lambda x, y: (fuzz.partial_ratio(x, y), 80)\n",
    "# dist_function = lambda x, y: (instance.compare(x, y))\n",
    "\n",
    "matched = []\n",
    "unmatched = []\n",
    "\n",
    "district1 = []\n",
    "district2 = []\n",
    "state1 = []\n",
    "state2 = []\n",
    "distances = []\n",
    "decisions = []\n",
    "\n",
    "def fill_arrays(d1, d2, s1, s2, distance, decision):\n",
    "    district1.append(d1)\n",
    "    district2.append(d2)\n",
    "    state1.append(s1)\n",
    "    state2.append(s2)\n",
    "    distances.append(distance)\n",
    "    decisions.append(decision)\n",
    "                \n",
    "\n",
    "for x, y in misspelt.iterrows():\n",
    "        max = 0\n",
    "        bestmatch = ''\n",
    "        stateOfbestMatch = ''\n",
    "        for i, j in geo_data.iterrows(): \n",
    "            r = dist_function(y[\"district\"], j[\"NAME_2\"])\n",
    "            rS = dist_function(y['state'], j['NAME_1'])\n",
    "            if( r> 0.65 and rS > 0.8):\n",
    "                max = r\n",
    "                bestmatch = j[\"NAME_2\"]\n",
    "                stateOfbestMatch = j['NAME_1']\n",
    "        if max != 0: \n",
    "            if(y[\"district\"] not in matched):\n",
    "                matched.append(y[\"district\"])\n",
    "                fill_arrays(y[\"district\"], bestmatch, y[\"state\"], stateOfbestMatch, max, \"match\") \n",
    "                \n",
    "            data.loc[(data['district'] == y[\"district\"]) & (data['state']==y['state']), ['district']] = bestmatch\n",
    "        elif(y[\"district\"] not in unmatched):\n",
    "                unmatched.append(y[\"district\"])\n",
    "                fill_arrays(y[\"district\"], bestmatch, y[\"state\"], stateOfbestMatch, max, \"no match\")\n",
    "\n",
    "fm_data = {'District 1': district1, \n",
    "        'District 2 ' : district2,\n",
    "        'State 1' : state1,\n",
    "        'State 2' : state2,\n",
    "        'Distance' : distances,\n",
    "        'Decision' : decisions\n",
    "       } \n",
    "fm = pd.DataFrame(fm_data) \n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_inner = pd.merge(geo_data, data, right_on='district', left_on='NAME_2', how='inner')\n",
    "ax = df_inner.plot(color='crimson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "fuzzy = df_inner.district.unique().size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9084745762711864\n"
     ]
    }
   ],
   "source": [
    "print(unfuzzy/fuzzy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "295"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fuzzy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "88"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_outer = pd.merge(data, geo_data, left_on='district', right_on='NAME_2', how='outer')\n",
    "df_outer[df_outer['geometry'].isnull()].district.unique().size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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 1</th>\n",
       "      <th>District 2</th>\n",
       "      <th>State 1</th>\n",
       "      <th>State 2</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Decision</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kalimpong</td>\n",
       "      <td></td>\n",
       "      <td>West Bengal</td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>no match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Nainital</td>\n",
       "      <td></td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>no match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Kanchipuram</td>\n",
       "      <td>Kancheepuram</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>0.869565</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bardhaman</td>\n",
       "      <td>Barddhaman</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>0.947368</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Howrah</td>\n",
       "      <td>Haora</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>match</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Ashok Nagar</td>\n",
       "      <td>Ashoknagar</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>Reva</td>\n",
       "      <td>Rewa</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Mahisagar</td>\n",
       "      <td>Mahesana</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>0.705882</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Kondagaon</td>\n",
       "      <td></td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td></td>\n",
       "      <td>0.000000</td>\n",
       "      <td>no match</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Ramanagara</td>\n",
       "      <td>Chamrajnagar</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>match</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>166 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      District 1   District 2          State 1         State 2  Distance  \\\n",
       "0      Kalimpong                   West Bengal                  0.000000   \n",
       "1       Nainital                   Uttarakhand                  0.000000   \n",
       "2    Kanchipuram  Kancheepuram      Tamil Nadu      Tamil Nadu  0.869565   \n",
       "3      Bardhaman    Barddhaman     West Bengal     West Bengal  0.947368   \n",
       "4        Howrah          Haora     West Bengal     West Bengal  0.666667   \n",
       "..           ...           ...             ...             ...       ...   \n",
       "161  Ashok Nagar    Ashoknagar  Madhya Pradesh  Madhya Pradesh  0.952381   \n",
       "162         Reva          Rewa  Madhya Pradesh  Madhya Pradesh  0.750000   \n",
       "163    Mahisagar      Mahesana         Gujarat         Gujarat  0.705882   \n",
       "164    Kondagaon                  Chhattisgarh                  0.000000   \n",
       "165   Ramanagara  Chamrajnagar       Karnataka       Karnataka  0.727273   \n",
       "\n",
       "     Decision  \n",
       "0    no match  \n",
       "1    no match  \n",
       "2       match  \n",
       "3       match  \n",
       "4       match  \n",
       "..        ...  \n",
       "161     match  \n",
       "162     match  \n",
       "163     match  \n",
       "164  no match  \n",
       "165     match  \n",
       "\n",
       "[166 rows x 6 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "fm.to_csv('FuzzyMatches.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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