02_Document Feature Engineering (optional).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Document Analysis in Python\n",
    "In this notebook we will cover:\n",
    "- Reading document data into memory\n",
    "- Creating bag of words features\n",
    "- Creating smoothed tf-idf features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'status': 'OK',\n",
       " 'copyright': 'Copyright (c) 2019 The New York Times Company. All Rights Reserved.',\n",
       " 'response': {'docs': [{'web_url': 'https://www.nytimes.com/2019/08/26/opinion/amazon-rainforest-fire.html',\n",
       "    'snippet': 'We need to figure out how to sustainably use the rain forest for the benefit of its inhabitants and the world. Give Brazil a hand without disrespecting its sovereignty.',\n",
       "    'lead_paragraph': 'News Update: Brazil’s rejected the $22 million in aid pledged at the G7.',\n",
       "    'abstract': 'We need to figure out how to sustainably use the rain forest for the benefit of its inhabitants and the world. Give Brazil a hand without disrespecting its sovereignty.',\n",
       "    'print_page': '23',\n",
       "    'blog': {},\n",
       "    'source': 'The New York Times',\n",
       "    'multimedia': [{'rank': 0,\n",
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       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
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       "    'snippet': 'A global treasure lies at the mercy of the smallest, dullest, pettiest of men.',\n",
       "    'lead_paragraph': 'SÃO PAULO, Brazil — When I first set foot in the Amazon rain forest, in the Anavilhanas Archipelago, northwest of the city of Manaus, I experienced something that can only be described as awe: an overwhelming sense of connection with the universe. Cheesy, I know. But this is something that we rarely feel — only upon seeing a clear tropical night sky, or the ghostly flickering of the northern lights or even the vastness of a French Gothic cathedral.',\n",
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       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master1050.jpg',\n",
       "      'height': 700,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'master1050',\n",
       "      'crop_name': 'master1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master675',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master675.jpg',\n",
       "      'height': 450,\n",
       "      'width': 675,\n",
       "      'legacy': {},\n",
       "      'subType': 'master675',\n",
       "      'crop_name': 'master675'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master495',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master495.jpg',\n",
       "      'height': 330,\n",
       "      'width': 495,\n",
       "      'legacy': {},\n",
       "      'subType': 'master495',\n",
       "      'crop_name': 'master495'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master180',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master180.jpg',\n",
       "      'height': 120,\n",
       "      'width': 180,\n",
       "      'legacy': {},\n",
       "      'subType': 'master180',\n",
       "      'crop_name': 'master180'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master315',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master315.jpg',\n",
       "      'height': 210,\n",
       "      'width': 315,\n",
       "      'legacy': {},\n",
       "      'subType': 'master315',\n",
       "      'crop_name': 'master315'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master768',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-master768.jpg',\n",
       "      'height': 512,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'master768',\n",
       "      'crop_name': 'master768'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbnail',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-thumbStandard.jpg',\n",
       "      'height': 75,\n",
       "      'width': 75,\n",
       "      'legacy': {'thumbnail': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-thumbStandard.jpg',\n",
       "       'thumbnailwidth': 75,\n",
       "       'thumbnailheight': 75},\n",
       "      'subType': 'thumbnail',\n",
       "      'crop_name': 'thumbStandard'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-blogSmallThumb.jpg',\n",
       "      'height': 50,\n",
       "      'width': 50,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallThumb',\n",
       "      'crop_name': 'blogSmallThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-thumbLarge.jpg',\n",
       "      'height': 150,\n",
       "      'width': 150,\n",
       "      'legacy': {},\n",
       "      'subType': 'thumbLarge',\n",
       "      'crop_name': 'thumbLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare168',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-smallSquare168.jpg',\n",
       "      'height': 168,\n",
       "      'width': 168,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare168',\n",
       "      'crop_name': 'smallSquare168'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-smallSquare252.jpg',\n",
       "      'height': 252,\n",
       "      'width': 252,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare252',\n",
       "      'crop_name': 'smallSquare252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square320',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-square320.jpg',\n",
       "      'height': 320,\n",
       "      'width': 320,\n",
       "      'legacy': {},\n",
       "      'subType': 'square320',\n",
       "      'crop_name': 'square320'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'moth',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-moth.jpg',\n",
       "      'height': 151,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'moth',\n",
       "      'crop_name': 'moth'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'filmstrip',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-filmstrip.jpg',\n",
       "      'height': 190,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'filmstrip',\n",
       "      'crop_name': 'filmstrip'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square640',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-square640.jpg',\n",
       "      'height': 640,\n",
       "      'width': 640,\n",
       "      'legacy': {},\n",
       "      'subType': 'square640',\n",
       "      'crop_name': 'square640'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumSquare149',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumSquare149.jpg',\n",
       "      'height': 149,\n",
       "      'width': 149,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumSquare149',\n",
       "      'crop_name': 'mediumSquare149'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'sfSpan',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-sfSpan.jpg',\n",
       "      'height': 263,\n",
       "      'width': 395,\n",
       "      'legacy': {},\n",
       "      'subType': 'sfSpan',\n",
       "      'crop_name': 'sfSpan'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontal375',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-largeHorizontal375.jpg',\n",
       "      'height': 250,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontal375',\n",
       "      'crop_name': 'largeHorizontal375'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontalJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-largeHorizontalJumbo.jpg',\n",
       "      'height': 683,\n",
       "      'width': 1024,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontalJumbo',\n",
       "      'crop_name': 'largeHorizontalJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'horizontalMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-horizontalMediumAt2X.jpg',\n",
       "      'height': 3851,\n",
       "      'width': 5776,\n",
       "      'legacy': {},\n",
       "      'subType': 'horizontalMediumAt2X',\n",
       "      'crop_name': 'horizontalMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-hpLarge.jpg',\n",
       "      'height': 287,\n",
       "      'width': 511,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpLarge',\n",
       "      'crop_name': 'hpLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen573',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-largeWidescreen573.jpg',\n",
       "      'height': 322,\n",
       "      'width': 573,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen573',\n",
       "      'crop_name': 'largeWidescreen573'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen1050',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-largeWidescreen1050.jpg',\n",
       "      'height': 591,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen1050',\n",
       "      'crop_name': 'largeWidescreen1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'wide',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-thumbWide.jpg',\n",
       "      'height': 126,\n",
       "      'width': 190,\n",
       "      'legacy': {'widewidth': 190,\n",
       "       'wideheight': 126,\n",
       "       'wide': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-thumbWide.jpg'},\n",
       "      'subType': 'wide',\n",
       "      'crop_name': 'thumbWide'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoThumb.jpg',\n",
       "      'height': 50,\n",
       "      'width': 75,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoThumb',\n",
       "      'crop_name': 'videoThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoLarge.jpg',\n",
       "      'height': 507,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoLarge',\n",
       "      'crop_name': 'videoLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo210',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumThreeByTwo210.jpg',\n",
       "      'height': 140,\n",
       "      'width': 210,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo210',\n",
       "      'crop_name': 'mediumThreeByTwo210'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo225',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumThreeByTwo225.jpg',\n",
       "      'height': 150,\n",
       "      'width': 225,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo225',\n",
       "      'crop_name': 'mediumThreeByTwo225'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo440',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumThreeByTwo440.jpg',\n",
       "      'height': 293,\n",
       "      'width': 440,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo440',\n",
       "      'crop_name': 'mediumThreeByTwo440'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumThreeByTwo252.jpg',\n",
       "      'height': 168,\n",
       "      'width': 252,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo252',\n",
       "      'crop_name': 'mediumThreeByTwo252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo378',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumThreeByTwo378.jpg',\n",
       "      'height': 252,\n",
       "      'width': 378,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo378',\n",
       "      'crop_name': 'mediumThreeByTwo378'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoLargeAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-threeByTwoLargeAt2X.jpg',\n",
       "      'height': 3851,\n",
       "      'width': 5776,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoLargeAt2X',\n",
       "      'crop_name': 'threeByTwoLargeAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-threeByTwoMediumAt2X.jpg',\n",
       "      'height': 1000,\n",
       "      'width': 1500,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoMediumAt2X',\n",
       "      'crop_name': 'threeByTwoMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoSmallAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-threeByTwoSmallAt2X.jpg',\n",
       "      'height': 400,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoSmallAt2X',\n",
       "      'crop_name': 'threeByTwoSmallAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'articleInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-articleInline.jpg',\n",
       "      'height': 127,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'articleInline',\n",
       "      'crop_name': 'articleInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-hpSmall.jpg',\n",
       "      'height': 109,\n",
       "      'width': 163,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpSmall',\n",
       "      'crop_name': 'hpSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-blogSmallInline.jpg',\n",
       "      'height': 101,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallInline',\n",
       "      'crop_name': 'blogSmallInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumFlexible177',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-mediumFlexible177.jpg',\n",
       "      'height': 118,\n",
       "      'width': 177,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumFlexible177',\n",
       "      'crop_name': 'mediumFlexible177'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoSmall.jpg',\n",
       "      'height': 281,\n",
       "      'width': 500,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSmall',\n",
       "      'crop_name': 'videoSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoHpMedium',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoHpMedium.jpg',\n",
       "      'height': 211,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoHpMedium',\n",
       "      'crop_name': 'videoHpMedium'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine600',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoSixteenByNine600.jpg',\n",
       "      'height': 338,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine600',\n",
       "      'crop_name': 'videoSixteenByNine600'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine540',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/21/world/21xp-AMAZON-slide-TX6O/21xp-AMAZON-slide-TX6O-videoSixteenByNine540.jpg',\n",
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       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-slide.jpg',\n",
       "      'height': 400,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'slide',\n",
       "      'crop_name': 'slide'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'jumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-jumbo.jpg',\n",
       "      'height': 683,\n",
       "      'width': 1024,\n",
       "      'legacy': {},\n",
       "      'subType': 'jumbo',\n",
       "      'crop_name': 'jumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'superJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-superJumbo.jpg',\n",
       "      'height': 1365,\n",
       "      'width': 2048,\n",
       "      'legacy': {},\n",
       "      'subType': 'superJumbo',\n",
       "      'crop_name': 'superJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blog225',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-blog225.jpg',\n",
       "      'height': 150,\n",
       "      'width': 225,\n",
       "      'legacy': {},\n",
       "      'subType': 'blog225',\n",
       "      'crop_name': 'blog225'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master1050',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master1050.jpg',\n",
       "      'height': 700,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'master1050',\n",
       "      'crop_name': 'master1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master675',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master675.jpg',\n",
       "      'height': 450,\n",
       "      'width': 675,\n",
       "      'legacy': {},\n",
       "      'subType': 'master675',\n",
       "      'crop_name': 'master675'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master495',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master495.jpg',\n",
       "      'height': 330,\n",
       "      'width': 495,\n",
       "      'legacy': {},\n",
       "      'subType': 'master495',\n",
       "      'crop_name': 'master495'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master180',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master180.jpg',\n",
       "      'height': 120,\n",
       "      'width': 180,\n",
       "      'legacy': {},\n",
       "      'subType': 'master180',\n",
       "      'crop_name': 'master180'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master315',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master315.jpg',\n",
       "      'height': 210,\n",
       "      'width': 315,\n",
       "      'legacy': {},\n",
       "      'subType': 'master315',\n",
       "      'crop_name': 'master315'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master768',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-master768.jpg',\n",
       "      'height': 512,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'master768',\n",
       "      'crop_name': 'master768'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbnail',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-thumbStandard.jpg',\n",
       "      'height': 75,\n",
       "      'width': 75,\n",
       "      'legacy': {'thumbnail': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-thumbStandard.jpg',\n",
       "       'thumbnailwidth': 75,\n",
       "       'thumbnailheight': 75},\n",
       "      'subType': 'thumbnail',\n",
       "      'crop_name': 'thumbStandard'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-blogSmallThumb.jpg',\n",
       "      'height': 50,\n",
       "      'width': 50,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallThumb',\n",
       "      'crop_name': 'blogSmallThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-thumbLarge.jpg',\n",
       "      'height': 150,\n",
       "      'width': 150,\n",
       "      'legacy': {},\n",
       "      'subType': 'thumbLarge',\n",
       "      'crop_name': 'thumbLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare168',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-smallSquare168.jpg',\n",
       "      'height': 168,\n",
       "      'width': 168,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare168',\n",
       "      'crop_name': 'smallSquare168'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-smallSquare252.jpg',\n",
       "      'height': 252,\n",
       "      'width': 252,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare252',\n",
       "      'crop_name': 'smallSquare252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square320',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-square320.jpg',\n",
       "      'height': 320,\n",
       "      'width': 320,\n",
       "      'legacy': {},\n",
       "      'subType': 'square320',\n",
       "      'crop_name': 'square320'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'moth',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-moth.jpg',\n",
       "      'height': 151,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'moth',\n",
       "      'crop_name': 'moth'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'filmstrip',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-filmstrip.jpg',\n",
       "      'height': 190,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'filmstrip',\n",
       "      'crop_name': 'filmstrip'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square640',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-square640.jpg',\n",
       "      'height': 640,\n",
       "      'width': 640,\n",
       "      'legacy': {},\n",
       "      'subType': 'square640',\n",
       "      'crop_name': 'square640'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumSquare149',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumSquare149.jpg',\n",
       "      'height': 149,\n",
       "      'width': 149,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumSquare149',\n",
       "      'crop_name': 'mediumSquare149'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'sfSpan',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-sfSpan.jpg',\n",
       "      'height': 263,\n",
       "      'width': 395,\n",
       "      'legacy': {},\n",
       "      'subType': 'sfSpan',\n",
       "      'crop_name': 'sfSpan'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontal375',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-largeHorizontal375.jpg',\n",
       "      'height': 250,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontal375',\n",
       "      'crop_name': 'largeHorizontal375'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontalJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-largeHorizontalJumbo.jpg',\n",
       "      'height': 683,\n",
       "      'width': 1024,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontalJumbo',\n",
       "      'crop_name': 'largeHorizontalJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'horizontalMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-horizontalMediumAt2X.jpg',\n",
       "      'height': 3648,\n",
       "      'width': 5472,\n",
       "      'legacy': {},\n",
       "      'subType': 'horizontalMediumAt2X',\n",
       "      'crop_name': 'horizontalMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-hpLarge.jpg',\n",
       "      'height': 287,\n",
       "      'width': 511,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpLarge',\n",
       "      'crop_name': 'hpLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen573',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-largeWidescreen573.jpg',\n",
       "      'height': 322,\n",
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       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen573',\n",
       "      'crop_name': 'largeWidescreen573'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen1050',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-largeWidescreen1050.jpg',\n",
       "      'height': 591,\n",
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       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen1050',\n",
       "      'crop_name': 'largeWidescreen1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'wide',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-thumbWide.jpg',\n",
       "      'height': 126,\n",
       "      'width': 190,\n",
       "      'legacy': {'widewidth': 190,\n",
       "       'wideheight': 126,\n",
       "       'wide': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-thumbWide.jpg'},\n",
       "      'subType': 'wide',\n",
       "      'crop_name': 'thumbWide'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-videoThumb.jpg',\n",
       "      'height': 50,\n",
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       "      'subType': 'videoThumb',\n",
       "      'crop_name': 'videoThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-videoLarge.jpg',\n",
       "      'height': 507,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoLarge',\n",
       "      'crop_name': 'videoLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo210',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumThreeByTwo210.jpg',\n",
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       "      'crop_name': 'mediumThreeByTwo210'},\n",
       "     {'rank': 0,\n",
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       "      'caption': None,\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumThreeByTwo225.jpg',\n",
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       "      'crop_name': 'mediumThreeByTwo225'},\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumThreeByTwo440.jpg',\n",
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       "      'legacy': {},\n",
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       "     {'rank': 0,\n",
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       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumThreeByTwo252.jpg',\n",
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       "      'legacy': {},\n",
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       "      'subtype': 'mediumThreeByTwo378',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-mediumThreeByTwo378.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo378',\n",
       "      'crop_name': 'mediumThreeByTwo378'},\n",
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       "      'subtype': 'threeByTwoLargeAt2X',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-threeByTwoLargeAt2X.jpg',\n",
       "      'height': 2706,\n",
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       "      'legacy': {},\n",
       "      'subType': 'threeByTwoLargeAt2X',\n",
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       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoMediumAt2X',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-threeByTwoMediumAt2X.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'threeByTwoMediumAt2X',\n",
       "      'crop_name': 'threeByTwoMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoSmallAt2X',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/19visWeb2-threeByTwoSmallAt2X.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'threeByTwoSmallAt2X',\n",
       "      'crop_name': 'threeByTwoSmallAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'articleInline',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-articleInline.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'articleInline',\n",
       "      'crop_name': 'articleInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-hpSmall.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'hpSmall',\n",
       "      'crop_name': 'hpSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/07/22/opinion/19visWeb2/merlin_151677642_b7ff397b-96e8-4ba7-8e9d-16030d7c78f7-blogSmallInline.jpg',\n",
       "      'height': 101,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallInline',\n",
       "      'crop_name': 'blogSmallInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumFlexible177',\n",
       "      'caption': None,\n",
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       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-master675.jpg',\n",
       "      'height': 450,\n",
       "      'width': 675,\n",
       "      'legacy': {},\n",
       "      'subType': 'master675',\n",
       "      'crop_name': 'master675'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master495',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-master495.jpg',\n",
       "      'height': 330,\n",
       "      'width': 495,\n",
       "      'legacy': {},\n",
       "      'subType': 'master495',\n",
       "      'crop_name': 'master495'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master180',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-master180.jpg',\n",
       "      'height': 120,\n",
       "      'width': 180,\n",
       "      'legacy': {},\n",
       "      'subType': 'master180',\n",
       "      'crop_name': 'master180'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master315',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-master315.jpg',\n",
       "      'height': 210,\n",
       "      'width': 315,\n",
       "      'legacy': {},\n",
       "      'subType': 'master315',\n",
       "      'crop_name': 'master315'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'master768',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-master768.jpg',\n",
       "      'height': 512,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'master768',\n",
       "      'crop_name': 'master768'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbnail',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-thumbStandard.jpg',\n",
       "      'height': 75,\n",
       "      'width': 75,\n",
       "      'legacy': {'thumbnail': 'images/2019/08/26/world/26brazil-7/26brazil-7-thumbStandard.jpg',\n",
       "       'thumbnailwidth': 75,\n",
       "       'thumbnailheight': 75},\n",
       "      'subType': 'thumbnail',\n",
       "      'crop_name': 'thumbStandard'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-blogSmallThumb.jpg',\n",
       "      'height': 50,\n",
       "      'width': 50,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallThumb',\n",
       "      'crop_name': 'blogSmallThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'thumbLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-thumbLarge.jpg',\n",
       "      'height': 150,\n",
       "      'width': 150,\n",
       "      'legacy': {},\n",
       "      'subType': 'thumbLarge',\n",
       "      'crop_name': 'thumbLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare168',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-smallSquare168.jpg',\n",
       "      'height': 168,\n",
       "      'width': 168,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare168',\n",
       "      'crop_name': 'smallSquare168'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'smallSquare252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-smallSquare252.jpg',\n",
       "      'height': 252,\n",
       "      'width': 252,\n",
       "      'legacy': {},\n",
       "      'subType': 'smallSquare252',\n",
       "      'crop_name': 'smallSquare252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square320',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-square320.jpg',\n",
       "      'height': 320,\n",
       "      'width': 320,\n",
       "      'legacy': {},\n",
       "      'subType': 'square320',\n",
       "      'crop_name': 'square320'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'moth',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-moth.jpg',\n",
       "      'height': 151,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'moth',\n",
       "      'crop_name': 'moth'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'filmstrip',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-filmstrip.jpg',\n",
       "      'height': 190,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'filmstrip',\n",
       "      'crop_name': 'filmstrip'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square640',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-square640.jpg',\n",
       "      'height': 640,\n",
       "      'width': 640,\n",
       "      'legacy': {},\n",
       "      'subType': 'square640',\n",
       "      'crop_name': 'square640'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumSquare149',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumSquare149.jpg',\n",
       "      'height': 149,\n",
       "      'width': 149,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumSquare149',\n",
       "      'crop_name': 'mediumSquare149'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'sfSpan',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-sfSpan.jpg',\n",
       "      'height': 263,\n",
       "      'width': 395,\n",
       "      'legacy': {},\n",
       "      'subType': 'sfSpan',\n",
       "      'crop_name': 'sfSpan'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontal375',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-largeHorizontal375.jpg',\n",
       "      'height': 250,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontal375',\n",
       "      'crop_name': 'largeHorizontal375'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontalJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-largeHorizontalJumbo.jpg',\n",
       "      'height': 683,\n",
       "      'width': 1024,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontalJumbo',\n",
       "      'crop_name': 'largeHorizontalJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'horizontalMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/merlin_159763998_5d6f679d-2dcf-44e4-b6dc-280aaf71f1e8-horizontalMediumAt2X.jpg',\n",
       "      'height': 3333,\n",
       "      'width': 5000,\n",
       "      'legacy': {},\n",
       "      'subType': 'horizontalMediumAt2X',\n",
       "      'crop_name': 'horizontalMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-hpLarge.jpg',\n",
       "      'height': 287,\n",
       "      'width': 511,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpLarge',\n",
       "      'crop_name': 'hpLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen573',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-largeWidescreen573.jpg',\n",
       "      'height': 322,\n",
       "      'width': 573,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen573',\n",
       "      'crop_name': 'largeWidescreen573'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen1050',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-largeWidescreen1050.jpg',\n",
       "      'height': 591,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen1050',\n",
       "      'crop_name': 'largeWidescreen1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'wide',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-thumbWide.jpg',\n",
       "      'height': 126,\n",
       "      'width': 190,\n",
       "      'legacy': {'widewidth': 190,\n",
       "       'wideheight': 126,\n",
       "       'wide': 'images/2019/08/26/world/26brazil-7/26brazil-7-thumbWide.jpg'},\n",
       "      'subType': 'wide',\n",
       "      'crop_name': 'thumbWide'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoThumb.jpg',\n",
       "      'height': 50,\n",
       "      'width': 75,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoThumb',\n",
       "      'crop_name': 'videoThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoLarge.jpg',\n",
       "      'height': 507,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoLarge',\n",
       "      'crop_name': 'videoLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo210',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumThreeByTwo210.jpg',\n",
       "      'height': 140,\n",
       "      'width': 210,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo210',\n",
       "      'crop_name': 'mediumThreeByTwo210'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo225',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumThreeByTwo225.jpg',\n",
       "      'height': 150,\n",
       "      'width': 225,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo225',\n",
       "      'crop_name': 'mediumThreeByTwo225'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo440',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumThreeByTwo440.jpg',\n",
       "      'height': 293,\n",
       "      'width': 440,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo440',\n",
       "      'crop_name': 'mediumThreeByTwo440'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumThreeByTwo252.jpg',\n",
       "      'height': 168,\n",
       "      'width': 252,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo252',\n",
       "      'crop_name': 'mediumThreeByTwo252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo378',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumThreeByTwo378.jpg',\n",
       "      'height': 252,\n",
       "      'width': 378,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo378',\n",
       "      'crop_name': 'mediumThreeByTwo378'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoLargeAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-threeByTwoLargeAt2X.jpg',\n",
       "      'height': 2517,\n",
       "      'width': 3776,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoLargeAt2X',\n",
       "      'crop_name': 'threeByTwoLargeAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-threeByTwoMediumAt2X.jpg',\n",
       "      'height': 1000,\n",
       "      'width': 1500,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoMediumAt2X',\n",
       "      'crop_name': 'threeByTwoMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoSmallAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-threeByTwoSmallAt2X.jpg',\n",
       "      'height': 400,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoSmallAt2X',\n",
       "      'crop_name': 'threeByTwoSmallAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'articleInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-articleInline.jpg',\n",
       "      'height': 140,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'articleInline',\n",
       "      'crop_name': 'articleInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-hpSmall.jpg',\n",
       "      'height': 120,\n",
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       "      'legacy': {},\n",
       "      'subType': 'hpSmall',\n",
       "      'crop_name': 'hpSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-blogSmallInline.jpg',\n",
       "      'height': 111,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallInline',\n",
       "      'crop_name': 'blogSmallInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumFlexible177',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-mediumFlexible177.jpg',\n",
       "      'height': 130,\n",
       "      'width': 177,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumFlexible177',\n",
       "      'crop_name': 'mediumFlexible177'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoSmall.jpg',\n",
       "      'height': 281,\n",
       "      'width': 500,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSmall',\n",
       "      'crop_name': 'videoSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoHpMedium',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoHpMedium.jpg',\n",
       "      'height': 211,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoHpMedium',\n",
       "      'crop_name': 'videoHpMedium'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine600',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoSixteenByNine600.jpg',\n",
       "      'height': 338,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine600',\n",
       "      'crop_name': 'videoSixteenByNine600'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine540',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoSixteenByNine540.jpg',\n",
       "      'height': 304,\n",
       "      'width': 540,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine540',\n",
       "      'crop_name': 'videoSixteenByNine540'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine495',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoSixteenByNine495.jpg',\n",
       "      'height': 278,\n",
       "      'width': 495,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine495',\n",
       "      'crop_name': 'videoSixteenByNine495'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine390',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/08/26/world/26brazil-7/26brazil-7-videoSixteenByNine390.jpg',\n",
       "      'height': 219,\n",
       "      'width': 390,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine390',\n",
       "      'crop_name': 'videoSixteenByNine390'},\n",
       "     {'rank': 0,\n",
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       "      'subtype': 'filmstrip',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-filmstrip.jpg',\n",
       "      'height': 190,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'filmstrip',\n",
       "      'crop_name': 'filmstrip'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'square640',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-square640.jpg',\n",
       "      'height': 640,\n",
       "      'width': 640,\n",
       "      'legacy': {},\n",
       "      'subType': 'square640',\n",
       "      'crop_name': 'square640'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumSquare149',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-mediumSquare149.jpg',\n",
       "      'height': 149,\n",
       "      'width': 149,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumSquare149',\n",
       "      'crop_name': 'mediumSquare149'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'sfSpan',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-sfSpan.jpg',\n",
       "      'height': 263,\n",
       "      'width': 395,\n",
       "      'legacy': {},\n",
       "      'subType': 'sfSpan',\n",
       "      'crop_name': 'sfSpan'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontal375',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-largeHorizontal375.jpg',\n",
       "      'height': 250,\n",
       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontal375',\n",
       "      'crop_name': 'largeHorizontal375'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeHorizontalJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-largeHorizontalJumbo.jpg',\n",
       "      'height': 683,\n",
       "      'width': 1024,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeHorizontalJumbo',\n",
       "      'crop_name': 'largeHorizontalJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'horizontalMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-horizontalMediumAt2X.jpg',\n",
       "      'height': 5643,\n",
       "      'width': 8464,\n",
       "      'legacy': {},\n",
       "      'subType': 'horizontalMediumAt2X',\n",
       "      'crop_name': 'horizontalMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-hpLarge.jpg',\n",
       "      'height': 287,\n",
       "      'width': 511,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpLarge',\n",
       "      'crop_name': 'hpLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen573',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-largeWidescreen573.jpg',\n",
       "      'height': 322,\n",
       "      'width': 573,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen573',\n",
       "      'crop_name': 'largeWidescreen573'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'largeWidescreen1050',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-largeWidescreen1050.jpg',\n",
       "      'height': 591,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'largeWidescreen1050',\n",
       "      'crop_name': 'largeWidescreen1050'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'wide',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-thumbWide-v4.jpg',\n",
       "      'height': 126,\n",
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       "      'legacy': {'widewidth': 190,\n",
       "       'wideheight': 126,\n",
       "       'wide': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-thumbWide-v4.jpg'},\n",
       "      'subType': 'wide',\n",
       "      'crop_name': 'thumbWide'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoThumb',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-videoThumb-v4.jpg',\n",
       "      'height': 50,\n",
       "      'width': 75,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoThumb',\n",
       "      'crop_name': 'videoThumb'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoLarge',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-videoLarge-v4.jpg',\n",
       "      'height': 507,\n",
       "      'width': 768,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoLarge',\n",
       "      'crop_name': 'videoLarge'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo210',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-mediumThreeByTwo210-v4.jpg',\n",
       "      'height': 140,\n",
       "      'width': 210,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo210',\n",
       "      'crop_name': 'mediumThreeByTwo210'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo225',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-mediumThreeByTwo225-v4.jpg',\n",
       "      'height': 150,\n",
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       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo225',\n",
       "      'crop_name': 'mediumThreeByTwo225'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo440',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-mediumThreeByTwo440-v4.jpg',\n",
       "      'height': 293,\n",
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       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo440',\n",
       "      'crop_name': 'mediumThreeByTwo440'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo252',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-mediumThreeByTwo252-v4.jpg',\n",
       "      'height': 168,\n",
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       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo252',\n",
       "      'crop_name': 'mediumThreeByTwo252'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumThreeByTwo378',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-mediumThreeByTwo378-v4.jpg',\n",
       "      'height': 252,\n",
       "      'width': 378,\n",
       "      'legacy': {},\n",
       "      'subType': 'mediumThreeByTwo378',\n",
       "      'crop_name': 'mediumThreeByTwo378'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoLargeAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-threeByTwoLargeAt2X-v4.jpg',\n",
       "      'height': 4056,\n",
       "      'width': 6083,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoLargeAt2X',\n",
       "      'crop_name': 'threeByTwoLargeAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoMediumAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-threeByTwoMediumAt2X-v4.jpg',\n",
       "      'height': 1000,\n",
       "      'width': 1500,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoMediumAt2X',\n",
       "      'crop_name': 'threeByTwoMediumAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'threeByTwoSmallAt2X',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/23counterfeit1-threeByTwoSmallAt2X-v4.jpg',\n",
       "      'height': 400,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'threeByTwoSmallAt2X',\n",
       "      'crop_name': 'threeByTwoSmallAt2X'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'articleInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/merlin_155228970_cea2b492-f3c7-49c4-b729-c58ae2284b9c-articleInline.jpg',\n",
       "      'height': 152,\n",
       "      'width': 190,\n",
       "      'legacy': {},\n",
       "      'subType': 'articleInline',\n",
       "      'crop_name': 'articleInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'hpSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/merlin_155228970_cea2b492-f3c7-49c4-b729-c58ae2284b9c-hpSmall.jpg',\n",
       "      'height': 130,\n",
       "      'width': 163,\n",
       "      'legacy': {},\n",
       "      'subType': 'hpSmall',\n",
       "      'crop_name': 'hpSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'blogSmallInline',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/merlin_155228970_cea2b492-f3c7-49c4-b729-c58ae2284b9c-blogSmallInline.jpg',\n",
       "      'height': 121,\n",
       "      'width': 151,\n",
       "      'legacy': {},\n",
       "      'subType': 'blogSmallInline',\n",
       "      'crop_name': 'blogSmallInline'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'mediumFlexible177',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/merlin_155228970_cea2b492-f3c7-49c4-b729-c58ae2284b9c-mediumFlexible177.jpg',\n",
       "      'height': 142,\n",
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       "      'legacy': {},\n",
       "      'subType': 'mediumFlexible177',\n",
       "      'crop_name': 'mediumFlexible177'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSmall',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSmall.jpg',\n",
       "      'height': 281,\n",
       "      'width': 500,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSmall',\n",
       "      'crop_name': 'videoSmall'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoHpMedium',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoHpMedium.jpg',\n",
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       "      'width': 375,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoHpMedium',\n",
       "      'crop_name': 'videoHpMedium'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine600',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine600.jpg',\n",
       "      'height': 338,\n",
       "      'width': 600,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine600',\n",
       "      'crop_name': 'videoSixteenByNine600'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine540',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine540.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine540',\n",
       "      'crop_name': 'videoSixteenByNine540'},\n",
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       "      'subtype': 'videoSixteenByNine495',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine495.jpg',\n",
       "      'height': 278,\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine495',\n",
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       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine390.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine390',\n",
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       "      'subtype': 'videoSixteenByNine1050',\n",
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       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine1050.jpg',\n",
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       "      'subtype': 'videoSixteenByNine480',\n",
       "      'caption': None,\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine480.jpg',\n",
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       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine310.jpg',\n",
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       "      'subType': 'videoSixteenByNine310',\n",
       "      'crop_name': 'videoSixteenByNine310'},\n",
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       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine225.jpg',\n",
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       "      'subType': 'videoSixteenByNine225',\n",
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       "      'subtype': 'videoSixteenByNine96',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine96.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine96',\n",
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       "     {'rank': 0,\n",
       "      'subtype': 'videoSixteenByNine3000',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine3000.jpg',\n",
       "      'height': 1688,\n",
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       "      'subType': 'videoSixteenByNine3000',\n",
       "      'crop_name': 'videoSixteenByNine3000'},\n",
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       "      'subtype': 'videoSixteenByNine768',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine768.jpg',\n",
       "      'height': 432,\n",
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       "      'subType': 'videoSixteenByNine768',\n",
       "      'crop_name': 'videoSixteenByNine768'},\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNine150.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNine150',\n",
       "      'crop_name': 'videoSixteenByNine150'},\n",
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       "      'subtype': 'videoSixteenByNineJumbo1600',\n",
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       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoSixteenByNineJumbo1600.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoSixteenByNineJumbo1600',\n",
       "      'crop_name': 'videoSixteenByNineJumbo1600'},\n",
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       "      'subtype': 'miniMoth',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-miniMoth.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'miniMoth',\n",
       "      'crop_name': 'miniMoth'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'windowsTile336H',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-windowsTile336H.jpg',\n",
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       "      'legacy': {},\n",
       "      'subType': 'windowsTile336H',\n",
       "      'crop_name': 'windowsTile336H'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoFifteenBySeven1305',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoFifteenBySeven1305.jpg',\n",
       "      'height': 609,\n",
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       "      'legacy': {},\n",
       "      'subType': 'videoFifteenBySeven1305',\n",
       "      'crop_name': 'videoFifteenBySeven1305'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'videoFifteenBySeven2610',\n",
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       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-videoFifteenBySeven2610.jpg',\n",
       "      'height': 1218,\n",
       "      'width': 2610,\n",
       "      'legacy': {},\n",
       "      'subType': 'videoFifteenBySeven2610',\n",
       "      'crop_name': 'videoFifteenBySeven2610'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'facebookJumbo',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-facebookJumbo.jpg',\n",
       "      'height': 550,\n",
       "      'width': 1050,\n",
       "      'legacy': {},\n",
       "      'subType': 'facebookJumbo',\n",
       "      'crop_name': 'facebookJumbo'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'watch308',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-watch308.jpg',\n",
       "      'height': 348,\n",
       "      'width': 312,\n",
       "      'legacy': {},\n",
       "      'subType': 'watch308',\n",
       "      'crop_name': 'watch308'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'watch268',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-watch268.jpg',\n",
       "      'height': 303,\n",
       "      'width': 272,\n",
       "      'legacy': {},\n",
       "      'subType': 'watch268',\n",
       "      'crop_name': 'watch268'},\n",
       "     {'rank': 0,\n",
       "      'subtype': 'verticalTwoByThree735',\n",
       "      'caption': None,\n",
       "      'credit': None,\n",
       "      'type': 'image',\n",
       "      'url': 'images/2019/06/23/business/23counterfeit1/00amazoncounterfeit1-verticalTwoByThree735.jpg',\n",
       "      'height': 1103,\n",
       "      'width': 735,\n",
       "      'legacy': {},\n",
       "      'subType': 'verticalTwoByThree735',\n",
       "      'crop_name': 'verticalTwoByThree735'}],\n",
       "    'headline': {'main': 'Independent Bookstores vs. Amazon',\n",
       "     'kicker': 'letter',\n",
       "     'content_kicker': None,\n",
       "     'print_headline': 'Indies vs. Amazon',\n",
       "     'name': None,\n",
       "     'seo': None,\n",
       "     'sub': None},\n",
       "    'keywords': [{'name': 'subject',\n",
       "      'value': 'Books and Literature',\n",
       "      'rank': 1,\n",
       "      'major': 'N'},\n",
       "     {'name': 'subject',\n",
       "      'value': 'Counterfeit Merchandise',\n",
       "      'rank': 2,\n",
       "      'major': 'N'},\n",
       "     {'name': 'organizations',\n",
       "      'value': 'AMAZON.COM INC',\n",
       "      'rank': 3,\n",
       "      'major': 'N'}],\n",
       "    'pub_date': '2019-07-04T17:00:01+0000',\n",
       "    'document_type': 'article',\n",
       "    'news_desk': 'Letters',\n",
       "    'section_name': 'Opinion',\n",
       "    'subsection_name': 'Letters',\n",
       "    'byline': {'original': None, 'person': [], 'organization': None},\n",
       "    'type_of_material': 'Letter',\n",
       "    '_id': 'nyt://article/17126032-c228-5aa2-9ea0-d9cfc02936d7',\n",
       "    'word_count': 189,\n",
       "    'uri': 'nyt://article/17126032-c228-5aa2-9ea0-d9cfc02936d7'}],\n",
       "  'meta': {'hits': 23997, 'offset': 0, 'time': 18}}}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "from contextlib import closing\n",
    "\n",
    "# get API key saved on hardrive\n",
    "with open('../NYTimesAPI.txt') as f:\n",
    "    api_key = f.read() # read in my private key (sorry, not in this repo ¯\\_(ツ)_/¯ )\n",
    "    \n",
    "# make base URL and dictionary of get request key/values\n",
    "url = \"https://api.nytimes.com/svc/search/v2/articlesearch.json\"\n",
    "payload = {'api-key': api_key, 'q':'Amazon'} # key/values for get request (look up in api, there are lots)\n",
    "\n",
    "# Perform the actual request\n",
    "with closing(requests.get(url, params=payload)) as r:\n",
    "    articles = r.json()\n",
    "    \n",
    "articles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# OR we can load an example query like this\n",
    "# run this block of code if you can't run anything else\n",
    "import json \n",
    "with open('data/nytime.json') as f:\n",
    "    articles = json.loads(f.read())\n",
    "    \n",
    "articles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['We need to figure out how to sustainably use the rain forest for the benefit of its inhabitants and the world. Give Brazil a hand without disrespecting its sovereignty.',\n",
       " 'The number of fires raging in the Amazon rainforest this month is the highest in a decade, putting the environmental policies of Brazil’s president in the global spotlight.',\n",
       " 'The raging fires are straining the usefulness of the concept of sovereignty.',\n",
       " 'A global treasure lies at the mercy of the smallest, dullest, pettiest of men.',\n",
       " 'The fires, most of which have been set by farmers clearing their land, are raging in uninhabited areas of rain forest and intruding on populated areas in the country’s north.',\n",
       " 'The fires scorching the Amazon come amid growing concern that Brazil’s weakening environmental policies could jeopardize the country’s trade and foreign relations.',\n",
       " 'Countries in the Amazon Basin are falling behind on their targets to cut deforestation. Environmental enforcement combined with economic incentives could provide a way forward.',\n",
       " 'Farmers in the Amazon say global scorn over a rise in deforestation and fires is unwarranted, backing President Bolsonaro as he strikes a defiant tone',\n",
       " 'Cutting down trees at the current rate could lead to runaway deforestation, environmentalists say. But President Bolsonaro is sticking to his promise to curb enforcement.',\n",
       " 'A bookstore owner shares her experience.']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the summary text from each article\n",
    "#  lead_paragraph  is no snippet\n",
    "summary_text = [x['snippet'] for x in articles['response']['docs']]\n",
    "summary_text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Converting document data into different representations\n",
    "First lets go through and count the unique words in each opening sentence (that is what the NYTimes give us for free).\n",
    "- http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "count_vect = CountVectorizer() # an object capable of counting words in a document!\n",
    "\n",
    "# count_vect.fit(summary_text)\n",
    "# count_vect.transform(summary_text)\n",
    "bag_words = count_vect.fit_transform(summary_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10, 127)\n",
      "=========\n",
      "  (0, 100)\t1\n",
      "  (0, 32)\t1\n",
      "  (0, 125)\t1\n",
      "  (0, 51)\t1\n",
      "  (0, 14)\t1\n",
      "  (0, 48)\t1\n",
      "  (0, 126)\t1\n",
      "  (0, 2)\t1\n",
      "  (0, 60)\t1\n",
      "  (0, 63)\t2\n",
      "  (0, 75)\t1\n",
      "  (0, 11)\t1\n",
      "  (0, 44)\t1\n",
      "  (0, 46)\t1\n",
      "  (0, 88)\t1\n",
      "  (0, 108)\t3\n",
      "  (0, 118)\t1\n",
      "  (0, 105)\t1\n",
      "  (0, 57)\t1\n",
      "  (0, 77)\t1\n",
      "  (0, 42)\t1\n",
      "  (0, 111)\t2\n",
      "  (0, 72)\t1\n",
      "  (0, 121)\t1\n"
     ]
    }
   ],
   "source": [
    "print(bag_words.shape) # this is a sparse matrix\n",
    "print('=========')\n",
    "print(bag_words[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "# Self Test: ML01b.3: \n",
    "Do you expect the vocabulary from the articles above to be:\n",
    "- A. Greater than 1M words\n",
    "- B. Greater than 10,000 words\n",
    "- C. Fewer than 10,000 words\n",
    "\n",
    "_____\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "127\n",
      "{'we': 121, 'need': 72, 'to': 111, 'figure': 42, 'out': 77, 'how': 57, 'sustainably': 105, 'use': 118, 'the': 108, 'rain': 88, 'forest': 46, 'for': 44, 'benefit': 11, 'of': 75, 'its': 63, 'inhabitants': 60, 'and': 2, 'world': 126, 'give': 48, 'brazil': 14, 'hand': 51, 'without': 125, 'disrespecting': 32, 'sovereignty': 100, 'number': 74, 'fires': 43, 'raging': 87, 'in': 58, 'amazon': 0, 'rainforest': 89, 'this': 110, 'month': 70, 'is': 62, 'highest': 55, 'decade': 29, 'putting': 86, 'environmental': 37, 'policies': 81, 'president': 83, 'global': 49, 'spotlight': 101, 'are': 3, 'straining': 103, 'usefulness': 119, 'concept': 20, 'treasure': 114, 'lies': 67, 'at': 6, 'mercy': 69, 'smallest': 99, 'dullest': 34, 'pettiest': 80, 'men': 68, 'most': 71, 'which': 123, 'have': 52, 'been': 9, 'set': 97, 'by': 16, 'farmers': 41, 'clearing': 17, 'their': 109, 'land': 65, 'uninhabited': 116, 'areas': 4, 'intruding': 61, 'on': 76, 'populated': 82, 'country': 24, 'north': 73, 'scorching': 95, 'come': 19, 'amid': 1, 'growing': 50, 'concern': 21, 'that': 107, 'weakening': 122, 'could': 22, 'jeopardize': 64, 'trade': 113, 'foreign': 45, 'relations': 91, 'countries': 23, 'basin': 8, 'falling': 40, 'behind': 10, 'targets': 106, 'cut': 27, 'deforestation': 31, 'enforcement': 36, 'combined': 18, 'with': 124, 'economic': 35, 'incentives': 59, 'provide': 85, 'way': 120, 'forward': 47, 'say': 94, 'scorn': 96, 'over': 78, 'rise': 92, 'unwarranted': 117, 'backing': 7, 'bolsonaro': 12, 'as': 5, 'he': 53, 'strikes': 104, 'defiant': 30, 'tone': 112, 'cutting': 28, 'down': 33, 'trees': 115, 'current': 26, 'rate': 90, 'lead': 66, 'runaway': 93, 'environmentalists': 38, 'but': 15, 'sticking': 102, 'his': 56, 'promise': 84, 'curb': 25, 'bookstore': 13, 'owner': 79, 'shares': 98, 'her': 54, 'experience': 39}\n"
     ]
    }
   ],
   "source": [
    "print(len(count_vect.vocabulary_))\n",
    "print(count_vect.vocabulary_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['sovereignty', 'disrespecting', 'without', 'hand', 'brazil',\n",
       "        'give', 'world', 'and', 'inhabitants', 'its', 'of', 'benefit',\n",
       "        'for', 'forest', 'rain', 'the', 'use', 'sustainably', 'how', 'out',\n",
       "        'figure', 'to', 'need', 'we'], dtype='<U17')]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can still look at the data using an inverse transform\n",
    "# but we lose the ordering of the words (after all its just a bag of wrods model)\n",
    "count_vect.inverse_transform(bag_words[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now let's create a pandas API out of this\n",
    "import pandas as pd\n",
    "\n",
    "pd.options.display.max_columns = 999\n",
    "df = pd.DataFrame(data=bag_words.toarray(),columns=count_vect.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>amazon</th>\n",
       "      <th>amid</th>\n",
       "      <th>and</th>\n",
       "      <th>are</th>\n",
       "      <th>areas</th>\n",
       "      <th>as</th>\n",
       "      <th>at</th>\n",
       "      <th>backing</th>\n",
       "      <th>basin</th>\n",
       "      <th>been</th>\n",
       "      <th>behind</th>\n",
       "      <th>benefit</th>\n",
       "      <th>bolsonaro</th>\n",
       "      <th>bookstore</th>\n",
       "      <th>brazil</th>\n",
       "      <th>but</th>\n",
       "      <th>by</th>\n",
       "      <th>clearing</th>\n",
       "      <th>combined</th>\n",
       "      <th>come</th>\n",
       "      <th>concept</th>\n",
       "      <th>concern</th>\n",
       "      <th>could</th>\n",
       "      <th>countries</th>\n",
       "      <th>country</th>\n",
       "      <th>curb</th>\n",
       "      <th>current</th>\n",
       "      <th>cut</th>\n",
       "      <th>cutting</th>\n",
       "      <th>decade</th>\n",
       "      <th>defiant</th>\n",
       "      <th>deforestation</th>\n",
       "      <th>disrespecting</th>\n",
       "      <th>down</th>\n",
       "      <th>dullest</th>\n",
       "      <th>economic</th>\n",
       "      <th>enforcement</th>\n",
       "      <th>environmental</th>\n",
       "      <th>environmentalists</th>\n",
       "      <th>experience</th>\n",
       "      <th>falling</th>\n",
       "      <th>farmers</th>\n",
       "      <th>figure</th>\n",
       "      <th>fires</th>\n",
       "      <th>for</th>\n",
       "      <th>foreign</th>\n",
       "      <th>forest</th>\n",
       "      <th>forward</th>\n",
       "      <th>give</th>\n",
       "      <th>global</th>\n",
       "      <th>growing</th>\n",
       "      <th>hand</th>\n",
       "      <th>have</th>\n",
       "      <th>he</th>\n",
       "      <th>her</th>\n",
       "      <th>highest</th>\n",
       "      <th>his</th>\n",
       "      <th>how</th>\n",
       "      <th>in</th>\n",
       "      <th>incentives</th>\n",
       "      <th>inhabitants</th>\n",
       "      <th>intruding</th>\n",
       "      <th>is</th>\n",
       "      <th>its</th>\n",
       "      <th>jeopardize</th>\n",
       "      <th>land</th>\n",
       "      <th>lead</th>\n",
       "      <th>lies</th>\n",
       "      <th>men</th>\n",
       "      <th>mercy</th>\n",
       "      <th>month</th>\n",
       "      <th>most</th>\n",
       "      <th>need</th>\n",
       "      <th>north</th>\n",
       "      <th>number</th>\n",
       "      <th>of</th>\n",
       "      <th>on</th>\n",
       "      <th>out</th>\n",
       "      <th>over</th>\n",
       "      <th>owner</th>\n",
       "      <th>pettiest</th>\n",
       "      <th>policies</th>\n",
       "      <th>populated</th>\n",
       "      <th>president</th>\n",
       "      <th>promise</th>\n",
       "      <th>provide</th>\n",
       "      <th>putting</th>\n",
       "      <th>raging</th>\n",
       "      <th>rain</th>\n",
       "      <th>rainforest</th>\n",
       "      <th>rate</th>\n",
       "      <th>relations</th>\n",
       "      <th>rise</th>\n",
       "      <th>runaway</th>\n",
       "      <th>say</th>\n",
       "      <th>scorching</th>\n",
       "      <th>scorn</th>\n",
       "      <th>set</th>\n",
       "      <th>shares</th>\n",
       "      <th>smallest</th>\n",
       "      <th>sovereignty</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>sticking</th>\n",
       "      <th>straining</th>\n",
       "      <th>strikes</th>\n",
       "      <th>sustainably</th>\n",
       "      <th>targets</th>\n",
       "      <th>that</th>\n",
       "      <th>the</th>\n",
       "      <th>their</th>\n",
       "      <th>this</th>\n",
       "      <th>to</th>\n",
       "      <th>tone</th>\n",
       "      <th>trade</th>\n",
       "      <th>treasure</th>\n",
       "      <th>trees</th>\n",
       "      <th>uninhabited</th>\n",
       "      <th>unwarranted</th>\n",
       "      <th>use</th>\n",
       "      <th>usefulness</th>\n",
       "      <th>way</th>\n",
       "      <th>we</th>\n",
       "      <th>weakening</th>\n",
       "      <th>which</th>\n",
       "      <th>with</th>\n",
       "      <th>without</th>\n",
       "      <th>world</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   amazon  amid  and  are  areas  as  at  backing  basin  been  behind  \\\n",
       "0       0     0    1    0      0   0   0        0      0     0       0   \n",
       "1       1     0    0    0      0   0   0        0      0     0       0   \n",
       "2       0     0    0    1      0   0   0        0      0     0       0   \n",
       "3       0     0    0    0      0   0   1        0      0     0       0   \n",
       "4       0     0    1    1      2   0   0        0      0     1       0   \n",
       "5       1     1    1    0      0   0   0        0      0     0       0   \n",
       "6       1     0    0    1      0   0   0        0      1     0       1   \n",
       "7       1     0    1    0      0   1   0        1      0     0       0   \n",
       "8       0     0    0    0      0   0   1        0      0     0       0   \n",
       "9       0     0    0    0      0   0   0        0      0     0       0   \n",
       "\n",
       "   benefit  bolsonaro  bookstore  brazil  but  by  clearing  combined  come  \\\n",
       "0        1          0          0       1    0   0         0         0     0   \n",
       "1        0          0          0       1    0   0         0         0     0   \n",
       "2        0          0          0       0    0   0         0         0     0   \n",
       "3        0          0          0       0    0   0         0         0     0   \n",
       "4        0          0          0       0    0   1         1         0     0   \n",
       "5        0          0          0       1    0   0         0         0     1   \n",
       "6        0          0          0       0    0   0         0         1     0   \n",
       "7        0          1          0       0    0   0         0         0     0   \n",
       "8        0          1          0       0    1   0         0         0     0   \n",
       "9        0          0          1       0    0   0         0         0     0   \n",
       "\n",
       "   concept  concern  could  countries  country  curb  current  cut  cutting  \\\n",
       "0        0        0      0          0        0     0        0    0        0   \n",
       "1        0        0      0          0        0     0        0    0        0   \n",
       "2        1        0      0          0        0     0        0    0        0   \n",
       "3        0        0      0          0        0     0        0    0        0   \n",
       "4        0        0      0          0        1     0        0    0        0   \n",
       "5        0        1      1          0        1     0        0    0        0   \n",
       "6        0        0      1          1        0     0        0    1        0   \n",
       "7        0        0      0          0        0     0        0    0        0   \n",
       "8        0        0      1          0        0     1        1    0        1   \n",
       "9        0        0      0          0        0     0        0    0        0   \n",
       "\n",
       "   decade  defiant  deforestation  disrespecting  down  dullest  economic  \\\n",
       "0       0        0              0              1     0        0         0   \n",
       "1       1        0              0              0     0        0         0   \n",
       "2       0        0              0              0     0        0         0   \n",
       "3       0        0              0              0     0        1         0   \n",
       "4       0        0              0              0     0        0         0   \n",
       "5       0        0              0              0     0        0         0   \n",
       "6       0        0              1              0     0        0         1   \n",
       "7       0        1              1              0     0        0         0   \n",
       "8       0        0              1              0     1        0         0   \n",
       "9       0        0              0              0     0        0         0   \n",
       "\n",
       "   enforcement  environmental  environmentalists  experience  falling  \\\n",
       "0            0              0                  0           0        0   \n",
       "1            0              1                  0           0        0   \n",
       "2            0              0                  0           0        0   \n",
       "3            0              0                  0           0        0   \n",
       "4            0              0                  0           0        0   \n",
       "5            0              1                  0           0        0   \n",
       "6            1              1                  0           0        1   \n",
       "7            0              0                  0           0        0   \n",
       "8            1              0                  1           0        0   \n",
       "9            0              0                  0           1        0   \n",
       "\n",
       "   farmers  figure  fires  for  foreign  forest  forward  give  global  \\\n",
       "0        0       1      0    1        0       1        0     1       0   \n",
       "1        0       0      1    0        0       0        0     0       1   \n",
       "2        0       0      1    0        0       0        0     0       0   \n",
       "3        0       0      0    0        0       0        0     0       1   \n",
       "4        1       0      1    0        0       1        0     0       0   \n",
       "5        0       0      1    0        1       0        0     0       0   \n",
       "6        0       0      0    0        0       0        1     0       0   \n",
       "7        1       0      1    0        0       0        0     0       1   \n",
       "8        0       0      0    0        0       0        0     0       0   \n",
       "9        0       0      0    0        0       0        0     0       0   \n",
       "\n",
       "   growing  hand  have  he  her  highest  his  how  in  incentives  \\\n",
       "0        0     1     0   0    0        0    0    1   0           0   \n",
       "1        0     0     0   0    0        1    0    0   3           0   \n",
       "2        0     0     0   0    0        0    0    0   0           0   \n",
       "3        0     0     0   0    0        0    0    0   0           0   \n",
       "4        0     0     1   0    0        0    0    0   2           0   \n",
       "5        1     0     0   0    0        0    0    0   0           0   \n",
       "6        0     0     0   0    0        0    0    0   1           1   \n",
       "7        0     0     0   1    0        0    0    0   2           0   \n",
       "8        0     0     0   0    0        0    1    0   0           0   \n",
       "9        0     0     0   0    1        0    0    0   0           0   \n",
       "\n",
       "   inhabitants  intruding  is  its  jeopardize  land  lead  lies  men  mercy  \\\n",
       "0            1          0   0    2           0     0     0     0    0      0   \n",
       "1            0          0   1    0           0     0     0     0    0      0   \n",
       "2            0          0   0    0           0     0     0     0    0      0   \n",
       "3            0          0   0    0           0     0     0     1    1      1   \n",
       "4            0          1   0    0           0     1     0     0    0      0   \n",
       "5            0          0   0    0           1     0     0     0    0      0   \n",
       "6            0          0   0    0           0     0     0     0    0      0   \n",
       "7            0          0   1    0           0     0     0     0    0      0   \n",
       "8            0          0   1    0           0     0     1     0    0      0   \n",
       "9            0          0   0    0           0     0     0     0    0      0   \n",
       "\n",
       "   month  most  need  north  number  of  on  out  over  owner  pettiest  \\\n",
       "0      0     0     1      0       0   1   0    1     0      0         0   \n",
       "1      1     0     0      0       1   2   0    0     0      0         0   \n",
       "2      0     0     0      0       0   2   0    0     0      0         0   \n",
       "3      0     0     0      0       0   2   0    0     0      0         1   \n",
       "4      0     1     0      1       0   2   1    0     0      0         0   \n",
       "5      0     0     0      0       0   0   0    0     0      0         0   \n",
       "6      0     0     0      0       0   0   1    0     0      0         0   \n",
       "7      0     0     0      0       0   0   0    0     1      0         0   \n",
       "8      0     0     0      0       0   0   0    0     0      0         0   \n",
       "9      0     0     0      0       0   0   0    0     0      1         0   \n",
       "\n",
       "   policies  populated  president  promise  provide  putting  raging  rain  \\\n",
       "0         0          0          0        0        0        0       0     1   \n",
       "1         1          0          1        0        0        1       1     0   \n",
       "2         0          0          0        0        0        0       1     0   \n",
       "3         0          0          0        0        0        0       0     0   \n",
       "4         0          1          0        0        0        0       1     1   \n",
       "5         1          0          0        0        0        0       0     0   \n",
       "6         0          0          0        0        1        0       0     0   \n",
       "7         0          0          1        0        0        0       0     0   \n",
       "8         0          0          1        1        0        0       0     0   \n",
       "9         0          0          0        0        0        0       0     0   \n",
       "\n",
       "   rainforest  rate  relations  rise  runaway  say  scorching  scorn  set  \\\n",
       "0           0     0          0     0        0    0          0      0    0   \n",
       "1           1     0          0     0        0    0          0      0    0   \n",
       "2           0     0          0     0        0    0          0      0    0   \n",
       "3           0     0          0     0        0    0          0      0    0   \n",
       "4           0     0          0     0        0    0          0      0    1   \n",
       "5           0     0          1     0        0    0          1      0    0   \n",
       "6           0     0          0     0        0    0          0      0    0   \n",
       "7           0     0          0     1        0    1          0      1    0   \n",
       "8           0     1          0     0        1    1          0      0    0   \n",
       "9           0     0          0     0        0    0          0      0    0   \n",
       "\n",
       "   shares  smallest  sovereignty  spotlight  sticking  straining  strikes  \\\n",
       "0       0         0            1          0         0          0        0   \n",
       "1       0         0            0          1         0          0        0   \n",
       "2       0         0            1          0         0          1        0   \n",
       "3       0         1            0          0         0          0        0   \n",
       "4       0         0            0          0         0          0        0   \n",
       "5       0         0            0          0         0          0        0   \n",
       "6       0         0            0          0         0          0        0   \n",
       "7       0         0            0          0         0          0        1   \n",
       "8       0         0            0          0         1          0        0   \n",
       "9       1         0            0          0         0          0        0   \n",
       "\n",
       "   sustainably  targets  that  the  their  this  to  tone  trade  treasure  \\\n",
       "0            1        0     0    3      0     0   2     0      0         0   \n",
       "1            0        0     0    5      0     1   0     0      0         0   \n",
       "2            0        0     0    3      0     0   0     0      0         0   \n",
       "3            0        0     0    2      0     0   0     0      0         1   \n",
       "4            0        0     0    2      1     0   0     0      0         0   \n",
       "5            0        0     1    3      0     0   0     0      1         0   \n",
       "6            0        1     0    1      1     0   1     0      0         0   \n",
       "7            0        0     0    1      0     0   0     1      0         0   \n",
       "8            0        0     0    1      0     0   3     0      0         0   \n",
       "9            0        0     0    0      0     0   0     0      0         0   \n",
       "\n",
       "   trees  uninhabited  unwarranted  use  usefulness  way  we  weakening  \\\n",
       "0      0            0            0    1           0    0   1          0   \n",
       "1      0            0            0    0           0    0   0          0   \n",
       "2      0            0            0    0           1    0   0          0   \n",
       "3      0            0            0    0           0    0   0          0   \n",
       "4      0            1            0    0           0    0   0          0   \n",
       "5      0            0            0    0           0    0   0          1   \n",
       "6      0            0            0    0           0    1   0          0   \n",
       "7      0            0            1    0           0    0   0          0   \n",
       "8      1            0            0    0           0    0   0          0   \n",
       "9      0            0            0    0           0    0   0          0   \n",
       "\n",
       "   which  with  without  world  \n",
       "0      0     0        1      1  \n",
       "1      0     0        0      0  \n",
       "2      0     0        0      0  \n",
       "3      0     0        0      0  \n",
       "4      1     0        0      0  \n",
       "5      0     0        0      0  \n",
       "6      0     1        0      0  \n",
       "7      0     0        0      0  \n",
       "8      0     0        0      0  \n",
       "9      0     0        0      0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df # display the full bag of words matrix  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "environmental     3\n",
       "is                3\n",
       "deforestation     3\n",
       "and               4\n",
       "amazon            4\n",
       "fires             5\n",
       "to                6\n",
       "in                8\n",
       "of                9\n",
       "the              21\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print out 10 most common words in our data\n",
    "df.sum().sort_values()[-10:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x116f91f60>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the pandas data frame\n",
    "%matplotlib inline\n",
    "df.sum().sort_values()[-10:].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1182a7048>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print out 10 least common words in our data\n",
    "df.sum().sort_values()[:10].plot(kind='barh') # small sample size means most words occur one time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TF-IDF Conversion\n",
    "We have a very small sample of data, but lets covert to tf-idf for the sake of programming it. Recall that Tf-idf transformation (default in `sklearn` is):\n",
    "\n",
    "$$ \\text{tf}(t,d) = f_{td}\\text{, } t\\in T \\text{ and } d \\in D $$\n",
    "\n",
    "$$ \\text{idf}(t,d) = \\log{\\frac{|D|}{|n_t|}}\\text{, where } n_t=d\\in D \\text{ with } t\\in d $$\n",
    "\n",
    "$$\\text{tf-idf}(t,d)=\\text{tf}(t,d) \\cdot (1+\\text{idf}(t,d))$$\n",
    "\n",
    "- http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "tfidf_vect = TfidfVectorizer() # an object capable of counting words in a document!\n",
    "\n",
    "tfidf_mat = tfidf_vect.fit_transform(summary_text) # that's it! its converted!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>amazon</th>\n",
       "      <th>amid</th>\n",
       "      <th>and</th>\n",
       "      <th>are</th>\n",
       "      <th>areas</th>\n",
       "      <th>as</th>\n",
       "      <th>at</th>\n",
       "      <th>backing</th>\n",
       "      <th>basin</th>\n",
       "      <th>been</th>\n",
       "      <th>behind</th>\n",
       "      <th>benefit</th>\n",
       "      <th>bolsonaro</th>\n",
       "      <th>bookstore</th>\n",
       "      <th>brazil</th>\n",
       "      <th>but</th>\n",
       "      <th>by</th>\n",
       "      <th>clearing</th>\n",
       "      <th>combined</th>\n",
       "      <th>come</th>\n",
       "      <th>concept</th>\n",
       "      <th>concern</th>\n",
       "      <th>could</th>\n",
       "      <th>countries</th>\n",
       "      <th>country</th>\n",
       "      <th>curb</th>\n",
       "      <th>current</th>\n",
       "      <th>cut</th>\n",
       "      <th>cutting</th>\n",
       "      <th>decade</th>\n",
       "      <th>defiant</th>\n",
       "      <th>deforestation</th>\n",
       "      <th>disrespecting</th>\n",
       "      <th>down</th>\n",
       "      <th>dullest</th>\n",
       "      <th>economic</th>\n",
       "      <th>enforcement</th>\n",
       "      <th>environmental</th>\n",
       "      <th>environmentalists</th>\n",
       "      <th>experience</th>\n",
       "      <th>falling</th>\n",
       "      <th>farmers</th>\n",
       "      <th>figure</th>\n",
       "      <th>fires</th>\n",
       "      <th>for</th>\n",
       "      <th>foreign</th>\n",
       "      <th>forest</th>\n",
       "      <th>forward</th>\n",
       "      <th>give</th>\n",
       "      <th>global</th>\n",
       "      <th>growing</th>\n",
       "      <th>hand</th>\n",
       "      <th>have</th>\n",
       "      <th>he</th>\n",
       "      <th>her</th>\n",
       "      <th>highest</th>\n",
       "      <th>his</th>\n",
       "      <th>how</th>\n",
       "      <th>in</th>\n",
       "      <th>incentives</th>\n",
       "      <th>inhabitants</th>\n",
       "      <th>intruding</th>\n",
       "      <th>is</th>\n",
       "      <th>its</th>\n",
       "      <th>jeopardize</th>\n",
       "      <th>land</th>\n",
       "      <th>lead</th>\n",
       "      <th>lies</th>\n",
       "      <th>men</th>\n",
       "      <th>mercy</th>\n",
       "      <th>month</th>\n",
       "      <th>most</th>\n",
       "      <th>need</th>\n",
       "      <th>north</th>\n",
       "      <th>number</th>\n",
       "      <th>of</th>\n",
       "      <th>on</th>\n",
       "      <th>out</th>\n",
       "      <th>over</th>\n",
       "      <th>owner</th>\n",
       "      <th>pettiest</th>\n",
       "      <th>policies</th>\n",
       "      <th>populated</th>\n",
       "      <th>president</th>\n",
       "      <th>promise</th>\n",
       "      <th>provide</th>\n",
       "      <th>putting</th>\n",
       "      <th>raging</th>\n",
       "      <th>rain</th>\n",
       "      <th>rainforest</th>\n",
       "      <th>rate</th>\n",
       "      <th>relations</th>\n",
       "      <th>rise</th>\n",
       "      <th>runaway</th>\n",
       "      <th>say</th>\n",
       "      <th>scorching</th>\n",
       "      <th>scorn</th>\n",
       "      <th>set</th>\n",
       "      <th>shares</th>\n",
       "      <th>smallest</th>\n",
       "      <th>sovereignty</th>\n",
       "      <th>spotlight</th>\n",
       "      <th>sticking</th>\n",
       "      <th>straining</th>\n",
       "      <th>strikes</th>\n",
       "      <th>sustainably</th>\n",
       "      <th>targets</th>\n",
       "      <th>that</th>\n",
       "      <th>the</th>\n",
       "      <th>their</th>\n",
       "      <th>this</th>\n",
       "      <th>to</th>\n",
       "      <th>tone</th>\n",
       "      <th>trade</th>\n",
       "      <th>treasure</th>\n",
       "      <th>trees</th>\n",
       "      <th>uninhabited</th>\n",
       "      <th>unwarranted</th>\n",
       "      <th>use</th>\n",
       "      <th>usefulness</th>\n",
       "      <th>way</th>\n",
       "      <th>we</th>\n",
       "      <th>weakening</th>\n",
       "      <th>which</th>\n",
       "      <th>with</th>\n",
       "      <th>without</th>\n",
       "      <th>world</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.145301</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.195368</td>\n",
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       "      <td>0.166081</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.237348</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.290602</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.195368</td>\n",
       "      <td>0.195368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.140097</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.157576</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.211873</td>\n",
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       "      <td>0.125815</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.157576</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.211873</td>\n",
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       "      <td>0.420290</td>\n",
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       "      <td>0.157576</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.211873</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.211873</td>\n",
       "      <td>0.251629</td>\n",
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       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.261838</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.369299</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.251845</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.310951</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.129560</td>\n",
       "      <td>0.145725</td>\n",
       "      <td>0.391875</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.116352</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.259119</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.232704</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.145725</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.158693</td>\n",
       "      <td>0.166565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195938</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.161286</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.161286</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.181410</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.181410</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207354</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.181410</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.144844</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207354</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.296331</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.151808</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.170749</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.170749</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.170749</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.195168</td>\n",
       "      <td>0.170749</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.151808</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195168</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.092972</td>\n",
       "      <td>0.195168</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.170749</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.229585</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.157972</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.157972</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238906</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238906</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.203092</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238906</td>\n",
       "      <td>0.177682</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.203092</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.141867</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.177682</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238906</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.315943</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.177682</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.238906</td>\n",
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       "      <td>0.238906</td>\n",
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       "      <td>0.238906</td>\n",
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       "      <td>0.238906</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.176318</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.176318</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.207411</td>\n",
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       "      <td>0.154258</td>\n",
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       "      <td>0.207411</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207411</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.154258</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207411</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.154258</td>\n",
       "      <td>0.207411</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207411</td>\n",
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       "      <td>0.207411</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.207411</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083993</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.462773</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     amazon      amid       and       are     areas        as        at  \\\n",
       "0  0.000000  0.000000  0.129183  0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.140097  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.261838  0.000000  0.000000  0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.264337   \n",
       "4  0.000000  0.000000  0.129560  0.145725  0.391875  0.000000  0.000000   \n",
       "5  0.161286  0.243919  0.161286  0.000000  0.000000  0.000000  0.000000   \n",
       "6  0.151808  0.000000  0.000000  0.170749  0.000000  0.000000  0.000000   \n",
       "7  0.157972  0.000000  0.157972  0.000000  0.000000  0.238906  0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.176318   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "    backing     basin      been    behind   benefit  bolsonaro  bookstore  \\\n",
       "0  0.000000  0.000000  0.000000  0.000000  0.195368   0.000000   0.000000   \n",
       "1  0.000000  0.000000  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "4  0.000000  0.000000  0.195938  0.000000  0.000000   0.000000   0.000000   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.000000   0.000000   0.000000   \n",
       "6  0.000000  0.229585  0.000000  0.229585  0.000000   0.000000   0.000000   \n",
       "7  0.238906  0.000000  0.000000  0.000000  0.000000   0.203092   0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.000000  0.000000   0.176318   0.000000   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000   0.000000   0.447214   \n",
       "\n",
       "     brazil       but        by  clearing  combined      come   concept  \\\n",
       "0  0.145301  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.157576  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.352061   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.000000  0.000000  0.195938  0.195938  0.000000  0.000000  0.000000   \n",
       "5  0.181410  0.000000  0.000000  0.000000  0.000000  0.243919  0.000000   \n",
       "6  0.000000  0.000000  0.000000  0.000000  0.229585  0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "8  0.000000  0.207411  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "    concern     could  countries   country      curb   current       cut  \\\n",
       "0  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.000000  0.000000   0.000000  0.166565  0.000000  0.000000  0.000000   \n",
       "5  0.243919  0.181410   0.000000  0.207354  0.000000  0.000000  0.000000   \n",
       "6  0.000000  0.170749   0.229585  0.000000  0.000000  0.000000  0.229585   \n",
       "7  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "8  0.000000  0.154258   0.000000  0.000000  0.207411  0.207411  0.000000   \n",
       "9  0.000000  0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "    cutting    decade   defiant  deforestation  disrespecting      down  \\\n",
       "0  0.000000  0.000000  0.000000       0.000000       0.195368  0.000000   \n",
       "1  0.000000  0.211873  0.000000       0.000000       0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000       0.000000       0.000000  0.000000   \n",
       "3  0.000000  0.000000  0.000000       0.000000       0.000000  0.000000   \n",
       "4  0.000000  0.000000  0.000000       0.000000       0.000000  0.000000   \n",
       "5  0.000000  0.000000  0.000000       0.000000       0.000000  0.000000   \n",
       "6  0.000000  0.000000  0.000000       0.170749       0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.238906       0.177682       0.000000  0.000000   \n",
       "8  0.207411  0.000000  0.000000       0.154258       0.000000  0.207411   \n",
       "9  0.000000  0.000000  0.000000       0.000000       0.000000  0.000000   \n",
       "\n",
       "    dullest  economic  enforcement  environmental  environmentalists  \\\n",
       "0  0.000000  0.000000     0.000000       0.000000           0.000000   \n",
       "1  0.000000  0.000000     0.000000       0.157576           0.000000   \n",
       "2  0.000000  0.000000     0.000000       0.000000           0.000000   \n",
       "3  0.310951  0.000000     0.000000       0.000000           0.000000   \n",
       "4  0.000000  0.000000     0.000000       0.000000           0.000000   \n",
       "5  0.000000  0.000000     0.000000       0.181410           0.000000   \n",
       "6  0.000000  0.229585     0.195168       0.170749           0.000000   \n",
       "7  0.000000  0.000000     0.000000       0.000000           0.000000   \n",
       "8  0.000000  0.000000     0.176318       0.000000           0.207411   \n",
       "9  0.000000  0.000000     0.000000       0.000000           0.000000   \n",
       "\n",
       "   experience   falling   farmers    figure     fires       for   foreign  \\\n",
       "0    0.000000  0.000000  0.000000  0.195368  0.000000  0.195368  0.000000   \n",
       "1    0.000000  0.000000  0.000000  0.000000  0.125815  0.000000  0.000000   \n",
       "2    0.000000  0.000000  0.000000  0.000000  0.209061  0.000000  0.000000   \n",
       "3    0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4    0.000000  0.000000  0.166565  0.000000  0.116352  0.000000  0.000000   \n",
       "5    0.000000  0.000000  0.000000  0.000000  0.144844  0.000000  0.243919   \n",
       "6    0.000000  0.229585  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "7    0.000000  0.000000  0.203092  0.000000  0.141867  0.000000  0.000000   \n",
       "8    0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "9    0.447214  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "     forest   forward      give    global   growing      hand      have  \\\n",
       "0  0.166081  0.000000  0.195368  0.000000  0.000000  0.195368  0.000000   \n",
       "1  0.000000  0.000000  0.000000  0.157576  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.231264  0.000000  0.000000  0.000000   \n",
       "4  0.166565  0.000000  0.000000  0.000000  0.000000  0.000000  0.195938   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.243919  0.000000  0.000000   \n",
       "6  0.000000  0.229585  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.000000  0.177682  0.000000  0.000000  0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "         he       her   highest       his       how        in  incentives  \\\n",
       "0  0.000000  0.000000  0.000000  0.000000  0.195368  0.000000    0.000000   \n",
       "1  0.000000  0.000000  0.211873  0.000000  0.000000  0.420290    0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000    0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000    0.000000   \n",
       "4  0.000000  0.000000  0.000000  0.000000  0.000000  0.259119    0.000000   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000    0.000000   \n",
       "6  0.000000  0.000000  0.000000  0.000000  0.000000  0.151808    0.229585   \n",
       "7  0.238906  0.000000  0.000000  0.000000  0.000000  0.315943    0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.207411  0.000000  0.000000    0.000000   \n",
       "9  0.000000  0.447214  0.000000  0.000000  0.000000  0.000000    0.000000   \n",
       "\n",
       "   inhabitants  intruding        is       its  jeopardize      land      lead  \\\n",
       "0     0.195368   0.000000  0.000000  0.390737    0.000000  0.000000  0.000000   \n",
       "1     0.000000   0.000000  0.157576  0.000000    0.000000  0.000000  0.000000   \n",
       "2     0.000000   0.000000  0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "3     0.000000   0.000000  0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "4     0.000000   0.195938  0.000000  0.000000    0.000000  0.195938  0.000000   \n",
       "5     0.000000   0.000000  0.000000  0.000000    0.243919  0.000000  0.000000   \n",
       "6     0.000000   0.000000  0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "7     0.000000   0.000000  0.177682  0.000000    0.000000  0.000000  0.000000   \n",
       "8     0.000000   0.000000  0.154258  0.000000    0.000000  0.000000  0.207411   \n",
       "9     0.000000   0.000000  0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "\n",
       "       lies       men     mercy     month      most      need     north  \\\n",
       "0  0.000000  0.000000  0.000000  0.000000  0.000000  0.195368  0.000000   \n",
       "1  0.000000  0.000000  0.000000  0.211873  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.310951  0.310951  0.310951  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.000000  0.000000  0.000000  0.000000  0.195938  0.000000  0.195938   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "6  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "     number        of        on       out      over     owner  pettiest  \\\n",
       "0  0.000000  0.116014  0.000000  0.195368  0.000000  0.000000  0.000000   \n",
       "1  0.211873  0.251629  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.418123  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.000000  0.369299  0.000000  0.000000  0.000000  0.000000  0.310951   \n",
       "4  0.000000  0.232704  0.166565  0.000000  0.000000  0.000000  0.000000   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "6  0.000000  0.000000  0.195168  0.000000  0.000000  0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.000000  0.000000  0.238906  0.000000  0.000000   \n",
       "8  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.447214  0.000000   \n",
       "\n",
       "   policies  populated  president   promise   provide   putting    raging  \\\n",
       "0  0.000000   0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.180111   0.000000   0.157576  0.000000  0.000000  0.211873  0.157576   \n",
       "2  0.000000   0.000000   0.000000  0.000000  0.000000  0.000000  0.261838   \n",
       "3  0.000000   0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.000000   0.195938   0.000000  0.000000  0.000000  0.000000  0.145725   \n",
       "5  0.207354   0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "6  0.000000   0.000000   0.000000  0.000000  0.229585  0.000000  0.000000   \n",
       "7  0.000000   0.000000   0.177682  0.000000  0.000000  0.000000  0.000000   \n",
       "8  0.000000   0.000000   0.154258  0.207411  0.000000  0.000000  0.000000   \n",
       "9  0.000000   0.000000   0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "       rain  rainforest      rate  relations      rise   runaway       say  \\\n",
       "0  0.166081    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.000000    0.211873  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.000000    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "4  0.166565    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "5  0.000000    0.000000  0.000000   0.243919  0.000000  0.000000  0.000000   \n",
       "6  0.000000    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "7  0.000000    0.000000  0.000000   0.000000  0.238906  0.000000  0.203092   \n",
       "8  0.000000    0.000000  0.207411   0.000000  0.000000  0.207411  0.176318   \n",
       "9  0.000000    0.000000  0.000000   0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "   scorching     scorn       set    shares  smallest  sovereignty  spotlight  \\\n",
       "0   0.000000  0.000000  0.000000  0.000000  0.000000     0.166081   0.000000   \n",
       "1   0.000000  0.000000  0.000000  0.000000  0.000000     0.000000   0.211873   \n",
       "2   0.000000  0.000000  0.000000  0.000000  0.000000     0.299284   0.000000   \n",
       "3   0.000000  0.000000  0.000000  0.000000  0.310951     0.000000   0.000000   \n",
       "4   0.000000  0.000000  0.195938  0.000000  0.000000     0.000000   0.000000   \n",
       "5   0.243919  0.000000  0.000000  0.000000  0.000000     0.000000   0.000000   \n",
       "6   0.000000  0.000000  0.000000  0.000000  0.000000     0.000000   0.000000   \n",
       "7   0.000000  0.238906  0.000000  0.000000  0.000000     0.000000   0.000000   \n",
       "8   0.000000  0.000000  0.000000  0.000000  0.000000     0.000000   0.000000   \n",
       "9   0.000000  0.000000  0.000000  0.447214  0.000000     0.000000   0.000000   \n",
       "\n",
       "   sticking  straining   strikes  sustainably   targets      that       the  \\\n",
       "0  0.000000   0.000000  0.000000     0.195368  0.000000  0.000000  0.237348   \n",
       "1  0.000000   0.000000  0.000000     0.000000  0.000000  0.000000  0.428999   \n",
       "2  0.000000   0.352061  0.000000     0.000000  0.000000  0.000000  0.427710   \n",
       "3  0.000000   0.000000  0.000000     0.000000  0.000000  0.000000  0.251845   \n",
       "4  0.000000   0.000000  0.000000     0.000000  0.000000  0.000000  0.158693   \n",
       "5  0.000000   0.000000  0.000000     0.000000  0.000000  0.243919  0.296331   \n",
       "6  0.000000   0.000000  0.000000     0.000000  0.229585  0.000000  0.092972   \n",
       "7  0.000000   0.000000  0.238906     0.000000  0.000000  0.000000  0.096747   \n",
       "8  0.207411   0.000000  0.000000     0.000000  0.000000  0.000000  0.083993   \n",
       "9  0.000000   0.000000  0.000000     0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "      their      this        to      tone     trade  treasure     trees  \\\n",
       "0  0.000000  0.000000  0.290602  0.000000  0.000000  0.000000  0.000000   \n",
       "1  0.000000  0.211873  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "3  0.000000  0.000000  0.000000  0.000000  0.000000  0.310951  0.000000   \n",
       "4  0.166565  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "5  0.000000  0.000000  0.000000  0.000000  0.243919  0.000000  0.000000   \n",
       "6  0.195168  0.000000  0.170749  0.000000  0.000000  0.000000  0.000000   \n",
       "7  0.000000  0.000000  0.000000  0.238906  0.000000  0.000000  0.000000   \n",
       "8  0.000000  0.000000  0.462773  0.000000  0.000000  0.000000  0.207411   \n",
       "9  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "   uninhabited  unwarranted       use  usefulness       way        we  \\\n",
       "0     0.000000     0.000000  0.195368    0.000000  0.000000  0.195368   \n",
       "1     0.000000     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "2     0.000000     0.000000  0.000000    0.352061  0.000000  0.000000   \n",
       "3     0.000000     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "4     0.195938     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "5     0.000000     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "6     0.000000     0.000000  0.000000    0.000000  0.229585  0.000000   \n",
       "7     0.000000     0.238906  0.000000    0.000000  0.000000  0.000000   \n",
       "8     0.000000     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "9     0.000000     0.000000  0.000000    0.000000  0.000000  0.000000   \n",
       "\n",
       "   weakening     which      with   without     world  \n",
       "0   0.000000  0.000000  0.000000  0.195368  0.195368  \n",
       "1   0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "2   0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "3   0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "4   0.000000  0.195938  0.000000  0.000000  0.000000  \n",
       "5   0.243919  0.000000  0.000000  0.000000  0.000000  \n",
       "6   0.000000  0.000000  0.229585  0.000000  0.000000  \n",
       "7   0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "8   0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "9   0.000000  0.000000  0.000000  0.000000  0.000000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert to pandas to get better idea about the data\n",
    "df = pd.DataFrame(data=tfidf_mat.toarray(),columns=tfidf_vect.get_feature_names())\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1183dcd30>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print out 10 words with max tfidf, normalized by document occurrence\n",
    "df.max().sort_values()[-10:].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with (a bit) more data\n",
    "What if we do not have the memory to deal with dense matrix representatioan and we need to keep it sparse?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_20newsgroups\n",
    "bunch = fetch_20newsgroups(subset='train', shuffle=True, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "the `bunch` object returned from sklearn is similar to a python dictionary. We can access different fields of the object with keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11314"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(bunch.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "From: lerxst@wam.umd.edu (where's my thing)\n",
      "Subject: WHAT car is this!?\n",
      "Nntp-Posting-Host: rac3.wam.umd.edu\n",
      "Organization: University of Maryland, College Park\n",
      "Lines: 15\n",
      "\n",
      " I was wondering if anyone out there could enlighten me on this car I saw\n",
      "the other day. It was a 2-door sports car, looked to be from the late 60s/\n",
      "early 70s. It was called a Bricklin. The doors were really small. In addition,\n",
      "the front bumper was separate from the rest of the body. This is \n",
      "all I know. If anyone can tellme a model name, engine specs, years\n",
      "of production, where this car is made, history, or whatever info you\n",
      "have on this funky looking car, please e-mail.\n",
      "\n",
      "Thanks,\n",
      "- IL\n",
      "   ---- brought to you by your neighborhood Lerxst ----\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(bunch.data[0]) # we should split this up by newlines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'rec.autos'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bunch.target_names[bunch.target[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "From: abdkw@stdvax (David Ward)\n",
      "Subject: Re: Keeping Spacecraft on after Funding Cuts.\n",
      "News-Software: VAX/VMS VNEWS 1.4-b1  \n",
      "Organization: Goddard Space Flight Center - Robotics Lab\n",
      "Lines: 34\n",
      "\n",
      "In article <20APR199321040621@kelvin.jpl.nasa.gov>, baalke@kelvin.jpl.nasa.gov (Ron Baalke) writes...\n",
      ">In article <1993Apr20.204335.157595@zeus.calpoly.edu>, jgreen@trumpet.calpoly.edu (James Thomas Green) writes...\n",
      ">>Why do spacecraft have to be shut off after funding cuts.  For\n",
      ">>example, Why couldn't Magellan just be told to go into a \"safe\"\n",
      ">>mode and stay bobbing about Venus in a low-power-use mode and if\n",
      ">>maybe in a few years if funding gets restored after the economy\n",
      ">>gets better (hopefully), it could be turned on again.  \n",
      "> \n",
      ">It can be, but the problem is a political one, not a technical one.\n",
      "\n",
      "Also remember that every dollar spent keeping one spacecraft in safe mode\n",
      "(probably a spin-stabilized sun-pointing orientation) is a dollar not\n",
      "spent on mission analysis for a newer spacecraft.  In order to turn the\n",
      "spacecraft back on, you either need to insure that the Ops guys will be\n",
      "available, or you need to retrain a new team.\n",
      "\n",
      "Having said that, there are some spacecraft that do what you have proposed.\n",
      "Many of the operational satellites Goddard flies (like the Tiros NOAA \n",
      "series) require more than one satellite in orbit for an operational set.\n",
      "Extras which get replaced on-orbit are powered into a \"standby\" mode for\n",
      "use in an emergency.  In that case, however, the same ops team is still\n",
      "required to fly the operational birds; so the standby maintenance is\n",
      "relatively cheap.\n",
      "\n",
      "Finally, Pat's explanation (some spacecraft require continuous maintenance\n",
      "to stay under control) is also right on the mark.  I suggested a spin-\n",
      "stabilized control mode because it would require little power or \n",
      "maintenance, but it still might require some momentum dumping from time\n",
      "to time.\n",
      "\n",
      "In the end, it *is* a political decision (since the difference is money),\n",
      "but there is some technical rationale behind the decision.\n",
      "\n",
      "David W. @ GSFC  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "#randomly grad an index\n",
    "idx = round(np.random.rand()*len(bunch.data))\n",
    "# and print it pretty\n",
    "print(\"\\n\".join(bunch.data[idx].split(\"\\n\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.44 s, sys: 134 ms, total: 3.58 s\n",
      "Wall time: 3.62 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "news_tfidf = tfidf_vect.fit_transform(bunch.data) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11314, 130107)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news_tfidf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'from': 56979,\n",
       " 'lerxst': 75358,\n",
       " 'wam': 123162,\n",
       " 'umd': 118280,\n",
       " 'edu': 50527,\n",
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       " 'delete': 46083,\n",
       " 'file': 55307,\n",
       " 'last': 74675,\n",
       " 'september': 106146,\n",
       " 'hmmm': 63542,\n",
       " 'bgrubb': 33081,\n",
       " 'dante': 45030,\n",
       " 'nmsu': 87589,\n",
       " 'grubb': 60545,\n",
       " 'ide': 65675,\n",
       " 'vs': 122259,\n",
       " 'scsi': 105492,\n",
       " 'mexico': 81419,\n",
       " 'state': 110355,\n",
       " 'las': 74650,\n",
       " 'cruces': 43599,\n",
       " 'nm': 87558,\n",
       " '44': 13679,\n",
       " 'dxb132': 49671,\n",
       " 'psuvm': 96737,\n",
       " 'psu': 96731,\n",
       " '1qlbrlinn7rk': 7597,\n",
       " 'dns1': 48346,\n",
       " 'pc': 92544,\n",
       " 'magazine': 78830,\n",
       " 'april': 29009,\n",
       " '27': 10013,\n",
       " '1993': 6475,\n",
       " '29': 10368,\n",
       " 'although': 27663,\n",
       " 'twice': 117168,\n",
       " 'fasst': 54465,\n",
       " 'esdi': 52481,\n",
       " '20': 8266,\n",
       " 'faster': 54474,\n",
       " 'devices': 46840,\n",
       " 'acceptance': 25596,\n",
       " 'long': 76683,\n",
       " 'been': 32491,\n",
       " 'stalled': 110196,\n",
       " 'incompatability': 66741,\n",
       " 'problems': 96071,\n",
       " 'installation': 67562,\n",
       " 'headaches': 62420,\n",
       " 'love': 76876,\n",
       " 'writers': 125270,\n",
       " 'stupid': 111219,\n",
       " 'statements': 110362,\n",
       " 'performance': 92999,\n",
       " 'those': 114800,\n",
       " 'numbers': 88371,\n",
       " 'list': 76145,\n",
       " 'actual': 25947,\n",
       " 'ranges': 99268,\n",
       " 'which': 124055,\n",
       " 'convince': 42475,\n",
       " 'such': 111533,\n",
       " 'statement': 110361,\n",
       " 'absurd': 25482,\n",
       " '5mb': 16105,\n",
       " 'ii': 65959,\n",
       " '40mb': 13429,\n",
       " '3mb': 13018,\n",
       " 'always': 27714,\n",
       " '25mb': 9853,\n",
       " 'standard': 110220,\n",
       " 'versions': 121236,\n",
       " 'shows': 107071,\n",
       " 'controler': 42384,\n",
       " 'range': 99261,\n",
       " 'indeed': 66843,\n",
       " 'controller': 42390,\n",
       " '6mb': 17800,\n",
       " '10mb': 2893,\n",
       " 'burst': 35747,\n",
       " 'note': 87961,\n",
       " 'increase': 66796,\n",
       " 'quadra': 98213,\n",
       " 'exist': 53308,\n",
       " 'too': 115663,\n",
       " 'mode': 83251,\n",
       " '16': 5022,\n",
       " 'wide': 124226,\n",
       " 'fast': 54467,\n",
       " '12mb': 3776,\n",
       " '20mb': 8627,\n",
       " '32': 11636,\n",
       " 'data': 45143,\n",
       " 'correct': 42724,\n",
       " 'reach': 99733,\n",
       " '96': 22194,\n",
       " 'facts': 54150,\n",
       " 'posted': 95150,\n",
       " 'newsgroup': 86932,\n",
       " 'ibm': 65480,\n",
       " 'sheet': 106713,\n",
       " 'available': 30616,\n",
       " 'ftp': 57132,\n",
       " 'sumex': 111680,\n",
       " 'aim': 26920,\n",
       " 'stanford': 110249,\n",
       " 'report': 101045,\n",
       " 'compare': 41363,\n",
       " 'txt': 117252,\n",
       " '173': 5581,\n",
       " '161': 5074,\n",
       " 'may': 80005,\n",
       " 'still': 110697,\n",
       " 'part': 92138,\n",
       " 'problem': 96064,\n",
       " 'both': 34523,\n",
       " 'inconsiant': 66764,\n",
       " 'though': 114806,\n",
       " 'documented': 48416,\n",
       " 'apple': 28856,\n",
       " 'salesperson': 104424,\n",
       " 'said': 104361,\n",
       " 'maximum': 79992,\n",
       " 'synchronous': 112584,\n",
       " 'ansynchronous': 28450,\n",
       " 'slower': 108174,\n",
       " 'seems': 105842,\n",
       " 'interface': 67802,\n",
       " 'think': 114696,\n",
       " 'driven': 49054,\n",
       " 'true': 116665,\n",
       " 'go': 59590,\n",
       " 'slam': 107976,\n",
       " 'understand': 118638,\n",
       " 'going': 59686,\n",
       " 'one': 89884,\n",
       " 'reference': 100314,\n",
       " 'digital': 47256,\n",
       " 'review': 101619,\n",
       " 'oct': 89215,\n",
       " '21': 8648,\n",
       " '1991': 6465,\n",
       " 'v8': 120402,\n",
       " 'n33': 85671,\n",
       " 'p8': 91509,\n",
       " 'holmes7000': 63775,\n",
       " 'iscsvax': 68565,\n",
       " 'uni': 118842,\n",
       " 'win': 124397,\n",
       " 'icon': 65583,\n",
       " 'help': 62696,\n",
       " 'northern': 87908,\n",
       " 'iowa': 68247,\n",
       " '10': 2336,\n",
       " 'downloaded': 48769,\n",
       " 'several': 106337,\n",
       " 'icons': 65593,\n",
       " 'bmp': 34038,\n",
       " 'figure': 55264,\n",
       " 'change': 38988,\n",
       " 'wallpaper': 123137,\n",
       " 'appreciated': 28930,\n",
       " 'thanx': 114436,\n",
       " 'brando': 34806,\n",
       " 'ps': 96643,\n",
       " 'kerr': 72278,\n",
       " 'ux1': 120128,\n",
       " 'cso': 43826,\n",
       " 'uiuc': 118089,\n",
       " 'stan': 110214,\n",
       " 'sigma': 107330,\n",
       " 'designs': 46587,\n",
       " 'double': 48689,\n",
       " 'c52u8x': 36456,\n",
       " 'b62': 31156,\n",
       " 'illinois': 66148,\n",
       " 'urbana': 119636,\n",
       " 'jap10': 69512,\n",
       " 'po': 94660,\n",
       " 'cwru': 44267,\n",
       " 'joseph': 70596,\n",
       " 'pellettiere': 92811,\n",
       " 'board': 34110,\n",
       " 'hardware': 61997,\n",
       " 'compression': 41559,\n",
       " 'works': 125042,\n",
       " 'autodoubler': 30524,\n",
       " 'also': 27618,\n",
       " 'over': 90946,\n",
       " 'work': 125017,\n",
       " 'diskdoubler': 47724,\n",
       " 'due': 49357,\n",
       " 'licensing': 75779,\n",
       " 'stac': 110133,\n",
       " 'technologies': 113811,\n",
       " 'owners': 91193,\n",
       " 'technology': 113812,\n",
       " 'writing': 125273,\n",
       " 'lost': 76825,\n",
       " 'wrong': 125288,\n",
       " 'being': 32596,\n",
       " 'whether': 124046,\n",
       " 'fault': 54528,\n",
       " 'something': 108821,\n",
       " 'else': 51215,\n",
       " 'however': 64200,\n",
       " 'decompress': 45718,\n",
       " 'troubled': 116637,\n",
       " 'recompress': 100068,\n",
       " 'without': 124640,\n",
       " 'usually': 119835,\n",
       " 'reappears': 99851,\n",
       " 'above': 25402,\n",
       " 'mentioned': 81133,\n",
       " 'freeware': 56834,\n",
       " 'expansion': 53371,\n",
       " 'utility': 119899,\n",
       " 'dd': 45444,\n",
       " 'expand': 53359,\n",
       " 'compressed': 41554,\n",
       " 'unless': 119030,\n",
       " 'installed': 67565,\n",
       " 'product': 96142,\n",
       " 'now': 88034,\n",
       " 'unlikely': 119035,\n",
       " 'holes': 63732,\n",
       " 'related': 100633,\n",
       " 'fixed': 55602,\n",
       " 'sad': 104273,\n",
       " 'very': 121265,\n",
       " 'reluctant': 100752,\n",
       " 'buy': 35855,\n",
       " 'stinky': 110726,\n",
       " 'hey': 62963,\n",
       " 'competition': 41449,\n",
       " 'computing': 41632,\n",
       " 'communications': 41316,\n",
       " 'services': 106253,\n",
       " 'office': 89410,\n",
       " '217': 8866,\n",
       " '333': 11796,\n",
       " '5217': 15110,\n",
       " 'stankerr': 110257,\n",
       " 'irwin': 68524,\n",
       " 'cmptrc': 40647,\n",
       " 'lonestar': 76681,\n",
       " 'org': 90364,\n",
       " 'arnstein': 29451,\n",
       " 'recommendation': 100059,\n",
       " 'duc': 49328,\n",
       " 'expires': 53441,\n",
       " 'sat': 104702,\n",
       " '05': 1049,\n",
       " '00': 0,\n",
       " 'gmt': 59534,\n",
       " 'computrac': 41633,\n",
       " 'inc': 66670,\n",
       " 'richardson': 101898,\n",
       " 'tx': 117230,\n",
       " 'ducati': 49331,\n",
       " 'gts': 60731,\n",
       " '13': 3802,\n",
       " '900gts': 21480,\n",
       " '1978': 6437,\n",
       " '17k': 5791,\n",
       " 'runs': 103528,\n",
       " 'paint': 91722,\n",
       " 'bronze': 35151,\n",
       " 'brown': 35194,\n",
       " 'orange': 90266,\n",
       " 'faded': 54163,\n",
       " 'leaks': 75033,\n",
       " 'oil': 89550,\n",
       " 'pops': 94986,\n",
       " '1st': 8042,\n",
       " 'accel': 25568,\n",
       " 'shop': 106965,\n",
       " 'trans': 116139,\n",
       " 'leak': 75028,\n",
       " 'sold': 108718,\n",
       " 'bike': 33301,\n",
       " 'owner': 91192,\n",
       " 'want': 123196,\n",
       " '3495': 11976,\n",
       " 'thinking': 114702,\n",
       " '3k': 12963,\n",
       " 'stable': 110130,\n",
       " 'mate': 79785,\n",
       " 'beemer': 32489,\n",
       " 'jap': 69511,\n",
       " 'myself': 85447,\n",
       " 'axis': 30868,\n",
       " 'motors': 83914,\n",
       " 'tuba': 116882,\n",
       " 'honk': 63910,\n",
       " 'therefore': 114586,\n",
       " 'dod': 48421,\n",
       " '0826': 1410,\n",
       " 'r75': 98828,\n",
       " 'david': 45240,\n",
       " 'terminus': 114156,\n",
       " 'ericsson': 52313,\n",
       " 'se': 105620,\n",
       " 'bold': 34252,\n",
       " 'popular': 94990,\n",
       " 'morality': 83685,\n",
       " 'camtec': 37563,\n",
       " 'electronics': 51051,\n",
       " 'leicester': 75240,\n",
       " 'england': 51741,\n",
       " '77': 19175,\n",
       " 'bangkok': 31744,\n",
       " '17570': 5691,\n",
       " 'freenet': 56826,\n",
       " 'carleton': 37881,\n",
       " 'ca': 37219,\n",
       " 'ad354': 25991,\n",
       " 'james': 69461,\n",
       " 'owens': 91180,\n",
       " 'previous': 95862,\n",
       " 'rude': 103421,\n",
       " 'hold': 63717,\n",
       " 'end': 51609,\n",
       " 'different': 47201,\n",
       " 'stick': 110671,\n",
       " 'look': 76715,\n",
       " 'again': 26646,\n",
       " 'intent': 67733,\n",
       " 'explaining': 53448,\n",
       " 'jung': 71028,\n",
       " 'moral': 83679,\n",
       " 'god': 59626,\n",
       " 'overlooked': 91031,\n",
       " 'main': 78995,\n",
       " 'seem': 105837,\n",
       " 'saying': 104834,\n",
       " 'unknowable': 119013,\n",
       " 'yep': 128076,\n",
       " 'jew': 69925,\n",
       " 'jewish': 69930,\n",
       " 'jews': 69935,\n",
       " 'covenant': 43007,\n",
       " 'between': 32988,\n",
       " 'yhwh': 128179,\n",
       " 'patriarchs': 92376,\n",
       " 'abraham': 25413,\n",
       " 'moses': 83810,\n",
       " 'case': 38019,\n",
       " 'establishes': 52575,\n",
       " 'follow': 56195,\n",
       " 'mankind': 79295,\n",
       " 'decide': 45644,\n",
       " 'boundaries': 34570,\n",
       " 'fall': 54272,\n",
       " 'sadducees': 104289,\n",
       " 'believed': 32652,\n",
       " 'torah': 115738,\n",
       " 'required': 101152,\n",
       " 'whereas': 124033,\n",
       " 'pharisees': 93451,\n",
       " 'ancestors': 28132,\n",
       " 'judaism': 70921,\n",
       " ...}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tfidf_vect.vocabulary_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create pandas dataframe\n",
    "vec = news_tfidf.max(axis=0)\n",
    "df  = pd.DataFrame(data=vec.toarray(),columns=tfidf_vect.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x119446208>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# largest tfidf \n",
    "df.max().sort_values()[-10:].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(11314, 28592)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a225e8f60>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D19hebvtp4DZgH2AmMFlSL7B7+V60VdieZrtmu7b5hvmNiIiIwbTGf1VtPyxpb+AI4O8k3dCni4AbbZ/Q3y76WX61zz4APgVsCext+3VJC4HhTfovB0asqfY+x1v5Wf30W8aq4T68Sb9m22J7hqQDgY8AV0m60PbazPgiImI9DOSa2dbAUts/AL4BTASWAKPLLncDH1x5PUzSSEk7N+zi+Iavd63hcGOAZ8ogm8SqM7w3KWeJzzdco/oMxWxplWNL2h9YXPafQRGaSDoYWGT7RWBhOTYkTQR2aHLIGcDxkjaUtCXFLPDXkrYv674E+N7K/URERHsM5HzX7hTXhlYArwOnU5wu/DdJT5XXzU4BrpG0SbnNucDD5fImku6hCM7+Zm8rXQ38XFKd4rrTgwOo72Tg4vJXBR4FJje0PS/pTmAz4NRyXS9weXkqc2m5PcCPgZPKU6UzG+pv9BOKsc+hmM39V9t/kHQy8EVJrwMvAScNoO6IiBgksvueiRvEnRenCWu2F7XsIP0fezow1Xa93cdek1qt5nr9LVdWRMRbmqRZtmvN2vIEkIiIqLyW3lZnu6eV+1/DsQ/u1LEjIqK9MjOLiIjKS5hFRETlJcwiIqLyEmYREVF5CbOIiKi8hFlERFRewiwiIiovYRYREZWXd5F0wII/LmD3K3fvdBkREetk3snzOl3Cm2RmFhERldcVYSapV9LUcnm6pKYPqhzgvnoknTh41UVExPrqijAbLJI2AnqAhFlExFtIJa+ZSeoBfmF7fPl5KjAK+D0wBdgYeAT4jO2lTXbxaUnfonzPme1fS9oU+HuK97dtBPTa/ln5rraPULx5elNgJPDe8r1nV1K84+yqsg3gL23fOeiDjoiIflUyzFbjX8q3PSPpb4DPUgRUX5va/oCkA4HLgPHAOcAttk+VNJbiDdI3lf33AybYfq58O/VU20eWxxkJ/KntVyTtBFwDvOk0pqQpFEHLsC2GDd6IIyJiyIXZ+DLExlLM1K7vp981ALZnSNqsDK/DgKNWXlujmIltVy7faPu5fvY1DPi2pD2B5cDOzTrZngZMAxixw4jWvRE1IqILVTXMlrHq9b7h5dcrgI/anlOeHjy4n+37hokBAcfYfqixQdL7gZdXU8tfA08De5Q1vbLm8iMiYjBV9QaQp4G3S9pC0ibAkeX60cBTkoYBn1rN9scDSNofWGx7McUs7kxJKtv26mfbJeVxVhoDPGV7BfAZYMN1HFNERKyjSs7MbL8u6avAPcBjwINl0/8o1z0OzGPV0Gn0vKQ7KW8AKdedD1wEzC0DbSH/GZKN5gLLJM2hmAl+F/ixpE8At7L6WVxERLSA7Fy+abcRO4zwjr07drqMiIh10qkngEiaZbvp7wlXcmZWdbttsRv1k+udLiMiYsio6jWziIiINyTMIiKi8hJmERFReQmziIiovIRZRERUXsIsIiIqL2EWERGVlzCLiIjKS5hFRETlJcwiIqLy8jirTnjyPugd0+kqIiLWXu/iTlfQVGZmERFReQmzkqQeSfObrJ8uqelTmhv6LJQ0rnXVRUTE6iTMIiKi8hJmq9pI0pWS5kr6Z0kjGxsl/YOkuqQFks7rs+2Zku6VNE/SLm2sOSKi6yXMVvUeYJrtCcCLwBl92s8pXww3AThI0oSGtkW2JwL/AEztu2NJU8ogrD+7NC9EjYgYTAmzVf3O9h3l8g+A/fu0HyfpXuA+YDdg14a2fym/zgJ6+u7Y9jTbNdu1LUdqcKuOiOhyuTV/VX2nTG98lrQDxYxrH9vPS7oCGN7Q99Xy63LyfY2IaKvMzFa1naT9yuUTgF81tG0GvAwslvQO4MPtLi4iIppLmK3qAeBkSXOBzSmufwFgew7F6cUFwGXAHU33EBERbZfTYSXbC1n1GthKBzf0OaWfbXsaluuN20REROslzDph672gt97pKiIihoycZoyIiMpLmEVEROUlzCIiovISZhERUXkJs4iIqLyEWUREVF7CLCIiKi9hFhERlZcwi4iIyssTQDpg3u8X03P2LztdRkTEgC38+kc6XcJqZWYWERGVlzCLiIjK6/owk9Qraaqkr0o6dA19r5B0bLl8qaRmT9mPiIg2yzWzku0vr2X/P29VLRERsXa6cmYm6RxJD0m6CXhPua5x1vVlSTMlzZc0TZKa7GO6pJqk7SX9RtI4SRtIul3SYW0eUkREV+u6MJO0N/BJYC/g48A+Tbp92/Y+tscDI4Aj+9uf7ceBC4CLgbOA+23f0OS4UyTVJdWXL108CCOJiIiVui7MgAOAn9heavtF4LomfSZJukfSPOBDwG6r26HtS4HRwGnA1H76TLNds13bcOSY9RtBRESsoluvmbm/BknDge8CNdu/k9QLDF/dziSNBLYtP44ClgxSnRERMQDdODObAXxM0ghJo4E/69O+MrgWSRoFHDuAfV4AXA18Gbhk0CqNiIgB6bqZme17JV0LzAYeB27v0/6CpEuAecBCYObq9ifpIIrrbh+0vVzSMZIm2768JQOIiIg3kd3vGbdokVqt5nq93ukyIiIqRdIs27Vmbd14mjEiIoaYhFlERFRewiwiIiovYRYREZWXMIuIiMrL3YwdIGkJ8FCn6+igccCiThfRQRl/946/m8cO6z/+7W1v2ayh637P7C3iof5uL+0GkuoZf8bf6To6oZvHDq0df04zRkRE5SXMIiKi8hJmnTGt0wV0WMbf3bp5/N08dmjh+HMDSEREVF5mZhERUXkJs4iIqLyEWQtJOlzSQ5IekXR2k/ZNJF1btt8jqaf9VbbOAMb/BUn3S5or6WZJ23eizlZZ0/gb+h0ryZKGzC3bAxm7pOPKn/8CST9sd42tNIC/+9tJulXSfeXf/yM6UWcrSLpM0jOS5vfTLknfKr83cyVNHJQD286fFvwBNgR+C7wL2BiYA+zap88ZwMXl8ieBaztdd5vHPwkYWS6f3m3jL/uNpnhh7N0UbzfveO1t+tnvBNwHvK38/PZO193m8U8DTi+XdwUWdrruQRz/gcBEYH4/7UcA/wYI2Be4ZzCOm5lZ67wPeMT2o7ZfA/4JOLpPn6OBK8vlfwYOkaQ21thKaxy/7VttLy0/3g1s2+YaW2kgP3+A84H/CbzSzuJabCBj/y/Ad2w/D2D7mTbX2EoDGb+BzcrlMcCTbayvpWzPAJ5bTZejge+7cDcwVtJW63vchFnrbAP8ruHzE+W6pn1sLwMWA1u0pbrWG8j4G32W4n9rQ8Uaxy9pL+Cdtn/RzsLaYCA/+52BnSXdIeluSYe3rbrWG8j4e4FPS3oC+FfgzPaU9pawtv82DEgeZ9U6zWZYfX8PYiB9qmrAY5P0aaAGHNTSitprteOXtAHwv4FT2lVQGw3kZ78RxanGgylm5LdLGm/7hRbX1g4DGf8JwBW2vylpP+CqcvwrWl9ex7Xk373MzFrnCeCdDZ+35c2nEt7oI2kjitMNq5ueV8lAxo+kQ4FzgKNsv9qm2tphTeMfDYwHpktaSHHt4LohchPIQP/u/8z267Yfo3jw9k5tqq/VBjL+zwL/F8D2XcBwiofwdoMB/duwthJmrTMT2EnSDpI2prjB47o+fa4DTi6XjwVucXmFdAhY4/jL02z/SBFkQ+maCaxh/LYX2x5nu8d2D8U1w6Ns1ztT7qAayN/9n1LcAISkcRSnHR9ta5WtM5Dx/wdwCICk91KE2bNtrbJzrgNOKu9q3BdYbPup9d1pTjO2iO1lkv4SuJ7i7qbLbC+Q9FWgbvs64HsUpxceoZiRfbJzFQ+uAY7/QmAU8KPyvpf/sH1Ux4oeRAMc/5A0wLFfDxwm6X5gOfBF23/sXNWDZ4DjPwu4RNJfU5xiO2Wo/EdW0jUUp4/HldcEvwIMA7B9McU1wiOAR4ClwORBOe4Q+f5FREQXy2nGiIiovIRZRERUXsIsIiIqL2EWERGVlzCLiIjKS5hFRETlJcwiIqLy/j8/sfzHcN6jPwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# now lets do the transformation with a smaller vocabulary\n",
    "tfidf_vect = TfidfVectorizer(stop_words='english',\n",
    "                             max_df=0.01,\n",
    "                             min_df=4)\n",
    "news_tfidf = tfidf_vect.fit_transform(bunch.data) \n",
    "print(news_tfidf.shape)\n",
    "vec=news_tfidf.max(axis=0)\n",
    "df = pd.DataFrame(data=vec.toarray(),columns=tfidf_vect.get_feature_names())\n",
    "df.max().sort_values()[-10:].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using your own vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(11314, 79340)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1193c7f60>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# read in scrabble dictionary from file\n",
    "with open('data/ospd.txt') as f:\n",
    "    vocab = f.read().split('\\n')\n",
    "    \n",
    "# now lets do the transformation with a custom vocabulary\n",
    "tfidf_vect = TfidfVectorizer(vocabulary=vocab)\n",
    "news_tfidf = tfidf_vect.fit_transform(bunch.data) \n",
    "print(news_tfidf.shape)\n",
    "vec=news_tfidf.max(axis=0)\n",
    "df = pd.DataFrame(data=vec.toarray(),columns=tfidf_vect.get_feature_names())\n",
    "df.max().sort_values()[-10:].plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking for how to do a word cloud? Check this out:\n",
    "- https://github.com/amueller/word_cloud\n",
    "\n",
    "Want to perform more serious NLP with richer options:\n",
    "- http://www.nltk.org"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}