2.f.the_age_nmf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from nltk.corpus import stopwords\n",
    "from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS\n",
    "from sklearn.decomposition import NMF\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.cluster import KMeans\n",
    "import seaborn as sns\n",
    "import datetime as datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import calendar\n",
    "import nltk\n",
    "\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the articles for Topic Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "raw_age = pd.read_pickle('the_age_df.pkl')\n",
    "age = raw_age[(raw_age.year == 2016) & (raw_age.month != 9)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "stop_words = stopwords.words('english')\n",
    "stop_words += ['mr', 'mrs', 'ms', 'like', 'says', 'many',\n",
    "              'per', 'since', 'still', 'back', 'according', 'even']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tfidf_vectorizer = TfidfVectorizer(max_df = 0.4, min_df = 15,\n",
    "                                   stop_words = stop_words)\n",
    "tfidf = tfidf_vectorizer.fit_transform(age.article)\n",
    "tfidf_feature_names = tfidf_vectorizer.get_feature_names()\n",
    "nmf = NMF(n_components = 60, random_state=1, alpha=.1, l1_ratio=.5).fit(tfidf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def print_top_words(model, feature_names, n_top_words):\n",
    "    for topic_idx, topic in enumerate(model.components_):\n",
    "        print(\"Topic:\" + str(int(topic_idx)+1))\n",
    "        print(\" \".join([feature_names[i]\n",
    "                        for i in topic.argsort()[:-n_top_words - 1:-1]]))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "transformed_data = nmf.transform(tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top Words Per Topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic:1\n",
      "brussels belgian attacks abdeslam paris belgium airport suicide bakraoui bombers metro el laachraoui terrorist prosecutors security bomb suspected arrested syria\n",
      "Topic:2\n",
      "trump donald republican clinton campaign presidential candidate nominee rally hillary gop presumptive fox comments kelly lewandowski washington america ryan muslims\n",
      "Topic:3\n",
      "china sea chinese south beijing philippines vietnam islands claims australia waters disputed defence military navigation international territorial xi navy maritime\n",
      "Topic:4\n",
      "eu britain cameron referendum brexit european vote leave british uk union london johnson minister prime scotland remain party europe campaign\n",
      "Topic:5\n",
      "syrian syria assad aleppo al rebel talks opposition forces aid damascus air war strikes humanitarian bashar areas russia geneva russian\n",
      "Topic:6\n",
      "zika virus microcephaly brazil health cases mosquito pregnant disease birth babies transmission outbreak vaccine cdc infected spread defects brain countries\n",
      "Topic:7\n",
      "faulkner elamine whittington nine crew children beirut lebanon 60 minutes lebanese child sally recovery channel abduction mother charges adam operation\n",
      "Topic:8\n",
      "iraqi fallujah iraq islamic baghdad forces city mosul abadi shiite al fighters retake army troops sunni kurdish civilians ramadi militants\n",
      "Topic:9\n",
      "russian russia putin moscow ukraine nato vladimir military kremlin crimea russians soviet ukrainian president defence assad poland eastern war europe\n",
      "Topic:10\n",
      "clinton sanders democratic senator hillary bernie campaign delegates voters nomination candidate primary race party vote cent presidential hampshire secretary vermont\n",
      "Topic:11\n",
      "court judge sentence trial case prison supreme jail justice murder sentenced guilty appeal ruling prosecutors conviction legal charges lawyers lawyer\n",
      "Topic:12\n",
      "migrants greece refugees europe greek eu turkey border refugee migrant asylum italy lesbos european crisis boat camp sea migration mediterranean\n",
      "Topic:13\n",
      "plane flight egyptair egyptian board aircraft egypt passengers cairo crash crew aviation crashed airlines airport pilot debris airline search mediterranean\n",
      "Topic:14\n",
      "israeli israel palestinian palestinians jerusalem bank jewish soldier netanyahu israelis west military gaza occupied settlement settlements soldiers benjamin forces wounded\n",
      "Topic:15\n",
      "police officers shooting man shot officer car arrested station scene killed suspect dead department authorities local reported incident video woman\n",
      "Topic:16\n",
      "saudi arabia shiite iran kingdom yemen execution al cleric riyadh shiites sunni saudis arab embassy sheikh bahrain diplomatic coalition shi\n",
      "Topic:17\n",
      "najib malaysia malaysian prime minister attorney fund money razak accounts general 1malaysia scandal bank corruption personal kuala lumpur donation dr\n",
      "Topic:18\n",
      "indonesia jakarta indonesian bali australia australian indonesians topsfield jewel panjaitan java attacks joko police terrorists naim arrested fairfax countries widodo\n",
      "Topic:19\n",
      "guzman penn mexican drug mexico chapo el del lord prison joaquin extradition cartel tunnel pena actress sean capture stone actor\n",
      "Topic:20\n",
      "turkey turkish kurdish istanbul ankara pkk davutoglu bombing syria airport kurdistan suicide blast syrian attack militants kurds security border bombings\n",
      "Topic:21\n",
      "taliban afghan afghanistan pakistan kabul pakistani troops province killed peace forces wounded officials talks suicide strike military ghani attack islamabad\n",
      "Topic:22\n",
      "pope francis church vatican catholic rome cardinal abuse catholics commission bishops roman priests priest mexico orthodox churches christians paul bishop\n",
      "Topic:23\n",
      "germany merkel cologne german refugees asylum seekers berlin eve chancellor refugee sexual assaults angela attacks migrants europe party crimes policy\n",
      "Topic:24\n",
      "french paris france hollande francois le november valls abdeslam 130 emergency attacks charlie minister concert hebdo ship citizenship president de\n",
      "Topic:25\n",
      "climate degrees temperatures warming nino record el csiro australia emissions heat global average carbon scientists change levels bureau ice reef\n",
      "Topic:26\n",
      "duterte davao philippines philippine aquino manila mayor crime criminals rodrigo president kill benigno squads dictator election 71 rape controversially polls\n",
      "Topic:27\n",
      "korea north nuclear korean missile test kim south launch pyongyang sanctions jong rocket un ballistic range seoul japan weapons missiles\n",
      "Topic:28\n",
      "women abortion woman female gender sex sexual men rape girls male abortions raped bill pregnant violence young card rights cologne\n",
      "Topic:29\n",
      "oregon refuge federal wildlife occupiers occupation fbi hammond stand armed land burns militia group arrested agents activists ryan nevada protesters\n",
      "Topic:30\n",
      "obama president barack white house washington republican administration visit nuclear united states americans american congress republicans scalia argentina presidential leaders\n",
      "Topic:31\n",
      "un nations general united ban secretary council clark war human rights ki moon madaya crimes international former report mali resolution\n",
      "Topic:32\n",
      "gun shooting guns orlando mass firearms shootings massacre control shot weapons americans rifle background nra congress violence democrats weapon senate\n",
      "Topic:33\n",
      "erdogan turkey turkish tayyip insulting president freedom takeover constitution newspaper system hitler recep presidency party german merkel davutoglu bakraoui academics\n",
      "Topic:34\n",
      "sri lanka boat aceh refugees refugee unhcr indonesian rains ivory beach camps 44 international indian journey immigration heavy foundation asylum\n",
      "Topic:35\n",
      "rio olympic games janeiro brazil de olympics brazilian city athletes girl world rape august fairfax billion budget gang security visitors\n",
      "Topic:36\n",
      "mateen orlando gay nightclub pulse fbi club shooting omar florida gunman son salman pierce massacre shooter fort comey bathroom islamic\n",
      "Topic:37\n",
      "iran nuclear iranian sanctions tehran rouhani deal iranians hassan prisoner revolutionary missile oil program implementation powers lifting hardliners united islamic\n",
      "Topic:38\n",
      "bangladesh dhaka restaurant bangladeshi militants killings gunmen islam japanese killed hacked bloggers attackers attacks foreigners university claimed muslim islamist killing\n",
      "Topic:39\n",
      "quake earthquake magnitude tsunami struck japan damage collapsed earthquakes buildings building tremor rescue ecuador geological city depth kilometres hit pacific\n",
      "Topic:40\n",
      "islamic attack al attacks killed militants security group burkina faso suicide qaeda bomb fighters hotel militant mali islamist capital terrorist\n",
      "Topic:41\n",
      "hong kong chinese china mainland lee beijing xi zhang books communist party disappearances bo letter democracy british confession rule city\n",
      "Topic:42\n",
      "cruz trump rubio republican senator delegates party kasich nomination ted convention iowa bush race win voters establishment vote primary candidate\n",
      "Topic:43\n",
      "students school campus teachers university student education schools teacher parents high lockdown classes bus college class papua children port guinea\n",
      "Topic:44\n",
      "kyi suu myanmar military rohingya aung president country san parliament constitution party prisoners democracy seats rights nobel peace league laureate\n",
      "Topic:45\n",
      "hunt rye rio janeiro de island body brazilian family missing airport fisherman girlfriend australian police may disappearance drug beach uncle\n",
      "Topic:46\n",
      "cuba cuban havana castro raul visit obama embargo relations concert communist historic stones revolution island internet ties decades el president\n",
      "Topic:47\n",
      "trudeau canadian canada justin prime canadians minister toronto abu indigenous alberta ransom hostage harry wang opposition commons philippines parliament kidnappers\n",
      "Topic:48\n",
      "taiwan taiwanese beijing china mainland strait building wen chinese independence ing cross relations island president sides ying party 1992 consensus\n",
      "Topic:49\n",
      "rousseff impeachment brazil temer lula corruption brazilian president senate brasilia dilma petrobras paulo political sao party brazilians lower congress vote\n",
      "Topic:50\n",
      "fiji cyclone storm winston aid island supplies islands winds water tropical damage pacific emergency flights areas evacuation category wind unicef\n",
      "Topic:51\n",
      "boko haram nigeria girls nigerian suicide kidnapped bombers niger girl chad abduction group school abducted africa missing north jonathan displaced\n",
      "Topic:52\n",
      "india indian delhi modi pakistan singh water narendra base air nuclear protests hindu indians jobs minister river waste force rural\n",
      "Topic:53\n",
      "apple fbi iphone phone data bernardino comey san tech cook department security company device classified shooters court information companies enforcement\n",
      "Topic:54\n",
      "death penalty executions drug executed chan drugs amnesty row offenders execution punishment prisoners judges andrew afp sentenced inmates lethal firing\n",
      "Topic:55\n",
      "space nasa station mission earth launch orbit moon billion xinhua agency program rocket flight satellite science project international exploration crew\n",
      "Topic:56\n",
      "sweden swedish embassy wikileaks ecuador stockholm detention julian asylum arbitrary extradition arrest london panel founder group decision un case warrant\n",
      "Topic:57\n",
      "world media country day million say 000 public three family made news get way life called home take know fairfaxforeign\n",
      "Topic:58\n",
      "boy child children parents old son girl family mother daughter father baby sheriff home disney girls county abuse found woman\n",
      "Topic:59\n",
      "zoo animal animals wildlife lion cincinnati temple park wild elephant species endangered conservation tourists habitat male thailand parks coffee officials\n",
      "Topic:60\n",
      "lottery jackpot ticket winning numbers billion tickets draw million prize winners us1 odds tennessee win bought winner record california multi\n",
      "()\n"
     ]
    }
   ],
   "source": [
    "print_top_words(nmf, tfidf_feature_names, 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Naming the Topics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "topics = {1:'Terrorism', 2:'Trump',\n",
    "         3:'China-Philippines Maritime Dispute',4:'Brexit',\n",
    "          5: 'Syria', 6: 'Zika',\n",
    "          7: 'Sally Faulkner Kidnapping Case', 8: 'Iraq',\n",
    "          9: 'Russia', 10: 'U.S. Presidential Elections',\n",
    "          11: 'Jurisprudence', 12: 'EU Refugee Crisis',\n",
    "          13: 'EgyptAir Crash', 14: 'Palestine/Israel',\n",
    "          15: 'Police', 16: \"Iran-Saudi Arabia Tensions\",\n",
    "          17: 'Malaysia Corruption Scandal', 18: 'Indonesia',\n",
    "          19: 'El Chapo', 20: 'Turkey Airport Bombing',\n",
    "          21: 'Taliban', 22: 'Pope Francis',\n",
    "          23: 'Germany', 24: 'France',\n",
    "          25: 'Climate Change', 26: \"Rodrigo Duterte\",\n",
    "         27: 'North Korea', 28: \"Women's Rights\", \n",
    "         29: 'Other', 30: 'U.S. Politics',\n",
    "         31: 'U.N.', 32: 'Shootings',\n",
    "         33: 'Turkey Coup', 34: 'Sri Lanka Refugees',\n",
    "         35: 'Rio Olympics' , 36: 'U.S. Orlando Shooting', \n",
    "         37: 'Iran' , 38: 'Bangladesh Attack', \n",
    "         39: 'Earthquakes', 40: 'Ouagadougou attacks',\n",
    "         41: 'Hong Kong', 42: 'U.S. Republican Primary',\n",
    "         43: 'Education', 44: 'Myanmar: Aung San Suu Kyi',\n",
    "         45: 'Rye Hunt Disappearance', 46: 'Cuba',\n",
    "         47: 'Canadian Politics', 48: 'Taiwan', \n",
    "         49: 'Brazil Corruption', 50: 'Fiji Cyclone',\n",
    "         51: 'Boko Haram', 52: 'India',\n",
    "         53: 'Apple-FBI Dispute', 54: 'Death Penalty',\n",
    "         55: 'Space', 56: 'WikiLeaks', \n",
    "         57: 'Other', 58: 'Other', \n",
    "         59: 'Animals', 60: 'Lottery'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning Up Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Cleaning Up Data\n",
    "final_data = pd.DataFrame(transformed_data).applymap(lambda x: 1 if x>.15 else 0)\n",
    "final_data.columns = topics.values()\n",
    "final_data['month'] = [i for i in age.month]\n",
    "\n",
    "by_month = final_data.groupby('month').sum()\n",
    "for i in range(7):\n",
    "    by_month.iloc[i] = by_month.iloc[i]/float(np.sum(by_month.iloc[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "by_month.to_pickle('australia_month.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "by_month = pd.read_pickle('australia_month.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 5 Topics per Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11429e750>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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ZfddvHwCemakWa19te3TscLeyM3IX0C4k/Q5ARMyStCV3PZZXRHyaJwZ5F208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\n3M3MKsjhbmZWQf8fjkMjwk1dzWoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11423f890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# North Korean Nuclear Test\n",
    "# Australia Removes itself from climate change enwspapers!\n",
    "by_month.iloc[0].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "plt.title('Topics for January')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114608290>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Db8/MH5StavpFxFxgfWauLV1LLzxylzb14tIF9IuIGM7M9cB/Ar/LAF/MFRFv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\nqYHsc5ekBjLcJamBDHdJaiDDXZIa6H8AVn1T79STJCUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114217c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Syrian Aleppo Advance\n",
    "# Zika\n",
    "by_month.iloc[1].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "plt.title('Topics for February')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1147d81d0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8BPg+8MvRc860XeNS+4cCOwI/YGRCua48iRgjer7lTnX58GOB/6Ca9e/bVCcV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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113f07190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# General Terrorism\n",
    "# American Primary\n",
    "by_month.iloc[2].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "plt.title('Topics for March')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x114a6e790>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IBkq4R0Q0UMI9IqKBEu4REQ2UcI+IaKCEe0REAyXcIyIaKOEeEdFACfeIiAZKuEdENFDC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\nXbqOEiSdbHtGNN2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1sPux7aWFSppUrtzv7TZg19JFFPRo252p9T4qqS+fvIsoYPcxy/OB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\nJdwjIhoo4R4R0UAJ94iIBkq4R0Q00P8HLBzM+7SyQaIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11477c6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sally Faulktner\n",
    "# China-Philippines Dispute\n",
    "by_month.iloc[3].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "plt.title('Topics for April')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lbBVlIulQUh/mMySdXz09idTvv63TMxwWES8DkPRJoHWjdWt2jYgAiIj/rZoi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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114688d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Egyption Crash\n",
    "# Australia Removes itself from climate change enwspapers!\n",
    "by_month.iloc[4].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for May')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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C/0Hqf+5E2xbz7RARl0uak7ugDHoBIqIj5xdqojH4oqGyo6g6PdzLIyDOb/K6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1149136d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Brexit\n",
    "# Orlando Shooting\n",
    "by_month.iloc[5].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for June')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3rGx+FhHfyV1EO4iI6yT9J3AQ8Avf7JdExEOSXpi7juHUOtwlHQ38DamVug2Y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\nVkH/H4cDeLZU5FuYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114f57510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bangladesh Terjrorist Attack\n",
    "# Brexit\n",
    "by_month.iloc[6].sort_values(ascending = False).head().plot(kind = 'bar')\n",
    "_ = plt.title('Topics for July')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Top Topics for the Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1126c7290>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7dvfuXWRmZkIIYXByXtfE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\n+gcXz4iIiIiIiIiIiIiIiIj+8X8WWqbNDU0LHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fc7fc90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', \"June\", \"July\"]\n",
    "lst = []\n",
    "topics_ =[]\n",
    "for i in range(7):\n",
    "    x = by_month.iloc[i].sort_values(ascending = False).head(1)\n",
    "    lst.append(x[0])\n",
    "    topics_.append(x.keys()[0])\n",
    "rc={'xtick.labelsize': 30, 'ytick.labelsize': 25, 'axes.labelsize': 25, 'font.size': 25, 'legend.fontsize': 30.0, 'axes.titlesize': 20, \"figure.figsize\": [30, 10]}\n",
    "sns.set(rc = rc)\n",
    "sns.barplot(x = months, y = lst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['North Korea',\n",
       " 'Syria',\n",
       " 'Terrorism',\n",
       " 'Sally Faulkner Kidnapping Case',\n",
       " 'EgyptAir Crash',\n",
       " 'Brexit',\n",
       " 'Bangladesh Attack']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
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