India GTD.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sorend/.pyenv/versions/3.6.1/envs/jupyterhub/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2683: DtypeWarning: Columns (4,61,62,66,116,117,123) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>iyear</th>\n",
       "      <th>country_txt</th>\n",
       "      <th>gname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1972</td>\n",
       "      <td>India</td>\n",
       "      <td>Palestinians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2688</th>\n",
       "      <td>1975</td>\n",
       "      <td>India</td>\n",
       "      <td>Ananda Marga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5251</th>\n",
       "      <td>1977</td>\n",
       "      <td>India</td>\n",
       "      <td>Japanese Red Army (JRA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7261</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Naga People</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8098</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Meitei extremists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8609</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8755</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8760</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8761</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8977</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9037</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9040</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9070</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9072</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Muslims</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9081</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9082</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9090</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Muslims</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9137</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Naxalites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9237</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>People's Liberation Army (India)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9732</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9801</th>\n",
       "      <td>1979</td>\n",
       "      <td>India</td>\n",
       "      <td>Naxalites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9841</th>\n",
       "      <td>1980</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9887</th>\n",
       "      <td>1980</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1980</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10414</th>\n",
       "      <td>1980</td>\n",
       "      <td>India</td>\n",
       "      <td>Mizo National Front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11647</th>\n",
       "      <td>1980</td>\n",
       "      <td>India</td>\n",
       "      <td>Naxalites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12691</th>\n",
       "      <td>1981</td>\n",
       "      <td>India</td>\n",
       "      <td>Anti-Immigrant Activists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12830</th>\n",
       "      <td>1981</td>\n",
       "      <td>India</td>\n",
       "      <td>Anti-Immigrant Activists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13300</th>\n",
       "      <td>1981</td>\n",
       "      <td>India</td>\n",
       "      <td>Insurgents</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13875</th>\n",
       "      <td>1981</td>\n",
       "      <td>India</td>\n",
       "      <td>Extremists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155938</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155952</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155960</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155970</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155994</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156097</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156098</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156131</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156155</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156156</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156176</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156243</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Separatists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156249</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Garo National Liberation Army</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156292</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156314</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156339</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156383</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156384</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156385</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156458</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156483</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Hizbul Mujahideen (HM)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156499</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156529</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156530</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Communist Party of India - Maoist (CPI-Maoist)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156533</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>United Liberation Front of Assam (ULFA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156569</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156612</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156695</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>Maoists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156713</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>National Democratic Front of Bodoland (NDFB)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156725</th>\n",
       "      <td>2015</td>\n",
       "      <td>India</td>\n",
       "      <td>National Socialist Council of Nagaland-Khaplan...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6516 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        iyear country_txt                                              gname\n",
       "1185     1972       India                                       Palestinians\n",
       "2688     1975       India                                       Ananda Marga\n",
       "5251     1977       India                            Japanese Red Army (JRA)\n",
       "7261     1979       India                                        Naga People\n",
       "8098     1979       India                                  Meitei extremists\n",
       "8609     1979       India                                Mizo National Front\n",
       "8755     1979       India                                Mizo National Front\n",
       "8760     1979       India                                Mizo National Front\n",
       "8761     1979       India                                Mizo National Front\n",
       "8977     1979       India                                Mizo National Front\n",
       "9037     1979       India                                Mizo National Front\n",
       "9040     1979       India                                Mizo National Front\n",
       "9070     1979       India                                Mizo National Front\n",
       "9072     1979       India                                            Muslims\n",
       "9081     1979       India                                Mizo National Front\n",
       "9082     1979       India                                Mizo National Front\n",
       "9090     1979       India                                            Muslims\n",
       "9137     1979       India                                          Naxalites\n",
       "9237     1979       India                   People's Liberation Army (India)\n",
       "9732     1979       India                                            Maoists\n",
       "9801     1979       India                                          Naxalites\n",
       "9841     1980       India                                            Maoists\n",
       "9887     1980       India                                            Maoists\n",
       "10407    1980       India                                Mizo National Front\n",
       "10414    1980       India                                Mizo National Front\n",
       "11647    1980       India                                          Naxalites\n",
       "12691    1981       India                           Anti-Immigrant Activists\n",
       "12830    1981       India                           Anti-Immigrant Activists\n",
       "13300    1981       India                                         Insurgents\n",
       "13875    1981       India                                         Extremists\n",
       "...       ...         ...                                                ...\n",
       "155938   2015       India                                            Maoists\n",
       "155952   2015       India                                            Maoists\n",
       "155960   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "155970   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "155994   2015       India                                            Maoists\n",
       "156097   2015       India                                            Maoists\n",
       "156098   2015       India                                            Maoists\n",
       "156131   2015       India                                            Maoists\n",
       "156155   2015       India                                            Maoists\n",
       "156156   2015       India                                            Maoists\n",
       "156176   2015       India                                            Maoists\n",
       "156243   2015       India                                        Separatists\n",
       "156249   2015       India                      Garo National Liberation Army\n",
       "156292   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156314   2015       India                                            Maoists\n",
       "156339   2015       India                                            Maoists\n",
       "156383   2015       India                                            Maoists\n",
       "156384   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156385   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156458   2015       India                                            Maoists\n",
       "156483   2015       India                             Hizbul Mujahideen (HM)\n",
       "156499   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156529   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156530   2015       India     Communist Party of India - Maoist (CPI-Maoist)\n",
       "156533   2015       India            United Liberation Front of Assam (ULFA)\n",
       "156569   2015       India                                            Maoists\n",
       "156612   2015       India                                            Maoists\n",
       "156695   2015       India                                            Maoists\n",
       "156713   2015       India       National Democratic Front of Bodoland (NDFB)\n",
       "156725   2015       India  National Socialist Council of Nagaland-Khaplan...\n",
       "\n",
       "[6516 rows x 3 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"globalterrorismdb_0616dist.csv\")\n",
    "india = df[(df.country_txt == \"India\") & (df.gname != \"Unknown\")][[\"iyear\", \"country_txt\", \"gname\"]]\n",
    "india"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdf75ef49e8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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z+026vxZejyQnQ/VRPDX6VFwZj8MKt62TlXm9cm/wPiOz+4+CXrsHZdaWqbx+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\nk8lkWkge3DOZTKaF/H8FARyTufx+LQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf75ef4dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = india[india.iyear > 2014].gname.value_counts()\n",
    "s /= len(india[india.iyear > 2014])\n",
    "s.nlargest(20).plot(kind=\"bar\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}