Parse Wikipedia Dumps.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "This is the notebook I use to parse from wikipedia dumps into structured data, and to reconcile multiple data sources together. It is intended to be explicatory, not reproducible, and might break when re-run. In particular, I've got some hard-coded locations because I'm not including the raw Wikipedia dumps in this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import wikiparser\n",
    "import cPickle as pickle\n",
    "import random\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "First, build a list of candidate populations based on wikipedia articles that have a population box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "cache = []\n",
    "wtf = []\n",
    "last_print = 0\n",
    "parser = wikiparser.WikipediaParser(\"/home/bschmidt/sources/enwiki-20180301-pages-articles-multistream.xml.bz2\")\n",
    "#parser = wikiparser.WikipediaParser(\"/Users/bschmidt/Downloads/Unconfirmed 628142.crdownload\")\n",
    "for i,article in enumerate(parser):\n",
    "    if i - last_print >= 100000:\n",
    "        print \"{} cities in {} articles\".format(len(cache),i)\n",
    "        last_print = i\n",
    "    try:\n",
    "        pops = article.pops()\n",
    "        cache.append(article)\n",
    "        if (len(cache) % 1000 == 0) and i - last_print > 25000:\n",
    "            last_print = i\n",
    "            print \"{} cities in {} articles\".format(len(cache),i)\n",
    "        if \"York City\" in article.title:\n",
    "            # For debugging. Sometimes I was missinig New York.\n",
    "            print (i, article.title)            \n",
    "    except wikiparser.NoSuchAttribute:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "raw = [(article.title,article.id,article.text) for article in cache]\n",
    "pickle.dump(raw,open(\"cache_raw_2018.pickle\",\"w\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "In 2017, I had these"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "raw = pickle.load(open(\"cache_raw.pickle\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "subset = [wikiparser.WikipediaArticle(*args) for args in raw]\n",
    "random.shuffle(subset)\n",
    "print len(subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "In 2018, there are several thousand more."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53953\n"
     ]
    }
   ],
   "source": [
    "raw = pickle.load(open(\"cache_raw_2018.pickle\"))\n",
    "subset = [wikiparser.WikipediaArticle(*args) for args in raw]\n",
    "random.shuffle(subset)\n",
    "print len(subset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "Kapelln\n",
       "================================================================================\n",
       "{{Infobox Town AT|\n",
       "      <text xml:space=\"preserve\">{{Infobox Town AT|\n",
       "name=Kapelln|\n",
       "name_local=|\n",
       "image_coa = AUT Kapelln COA.jpg |\n",
       "image_map = |\n",
       "state = [[Lower Austria]] |\n",
       "regbzk = |\n",
       "district = [[Sankt Pölten-Land]]|\n",
       "population =1280|\n",
       "population_as_of = 2001|\n",
       "population_ref =|\n",
       "pop_dens = |\n",
       "area = 20.18|\n",
       "elevation = 226\n",
       "|\n",
       "coordinates = {{coord|48|15|N|15|45|E|display=inline,title}}\n",
       "|\n",
       "lat_hem=N|\n",
       "lon_hem=E|\n",
       "postal_code = 3141|\n",
       "area_code =02784|\n",
       "mayor = Alois Vogl|\n",
       "website = http://www.kapelln.at"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset[233]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Upper Canada\n",
      "Little Bolton\n",
      "Kosovo\n",
      "***:Kosovo|display=inline,title}}\n",
      "| ***\n",
      "Catholic Church in Canada\n",
      "Oppland\n",
      "Jordan River (Utah)\n",
      "Rural Municipality of St. Andrews\n",
      "Arabian Peninsula\n",
      "Germans in the Czech Republic\n",
      "Rail transport in China\n",
      "Transperth Trains\n",
      "{{Xb|K\n",
      "***:{{Xb|KOS}}|display=inline,title}***\n",
      "MTR\n",
      "Rural Municipality of St. Clements\n",
      "{{Xb|K\n",
      "***:{{Xb|KOS}}|display=inline,title}***\n",
      "Taipei Metro\n",
      "Stone Town\n",
      "Germans of Kazakhstan\n",
      "Nordland\n",
      "Plymouth Colony\n",
      "Bernstein im Burgenland\n",
      "High-speed rail in Turkey\n",
      "Census in Myanmar\n",
      "Crown Colony of Sarawak\n",
      "Spain_\n",
      "***:Spain_type:city|display=title,in***\n",
      "Timeline of Cape Town\n",
      "Australian Public Service\n",
      "Douglas, Juneau\n",
      "Religion in Canada\n",
      "Syria\n",
      "Rape of Bramber\n",
      "Union Station (Erie, Pennsylvania)\n",
      "Southwark, Philadelphia\n",
      "Current Island, Newfoundland\n",
      "Armstrong's Point\n",
      "River Heights, Winnipeg\n",
      "Street dogs in Sofia\n",
      "Byzantine army\n",
      "Priesthood in the Catholic Church\n",
      "Buskerud\n",
      "{{Xb|K\n",
      "***:{{Xb|KOS}}|display=inline,title}***\n",
      "Buddhism in Canada\n",
      "Mendota Mental Health Institute\n",
      "Crescentwood, Winnipeg\n",
      "Trichinopoly District\n",
      "Great Bolton\n",
      "West St. Modeste\n",
      "Melrose Public Schools\n",
      "Dorog\n",
      "Template:Historical census population in Zambia\n",
      "Module:Historical populations\n",
      "Rosengård\n",
      "Italo-Albanese Eparchy of Lungro\n",
      "Society Hill\n",
      "Asia\n",
      "NO}}\n",
      "{\n",
      "***:NO}}\n",
      "{{SognFjordane-geo-stub}}\n",
      "[***\n",
      "Rural Municipality of Rockwood\n",
      "Omak Airport\n",
      "Rape of Arundel\n",
      "North Point Douglas\n",
      "Latin America\n",
      "Amish\n",
      "Puerto Rican migration to New York City\n",
      "Győr\n",
      "Poles in the Soviet Union\n",
      "Template:Philippine Census\n",
      "Briarcliff Farms\n",
      "Resurrection Elementary School (Pittsburgh)\n",
      "Presbytery of Boston\n",
      "East Germany\n",
      "Rosario, Santa Fe\n",
      "Vestfold\n",
      "Ethnic groups in South Africa\n",
      "Over-the-Rhine\n",
      "Elizabethtown station\n",
      "Debian\n",
      "Rape of Chichester\n",
      "NO}}\n",
      "\n",
      "\n",
      "***:NO}}\n",
      "\n",
      "[[Category:Districts of So***\n",
      "Template:Historical populations TW\n",
      "{{xb|K\n",
      "***:{{xb|KOS}}|display=inline,title}***\n",
      "Vest-Telemark\n",
      "Ukrainians in the Czech Republic\n",
      "Pudukkottai State\n",
      "Lienz District\n",
      "Lúrio University\n",
      "Intercity-Express\n",
      "Immigration to Portugal\n",
      "Indian Bay\n",
      "Hungarians in Romania\n",
      "Trondheim og omland\n",
      "Winnebago Mental Health Institute\n",
      "High-speed rail in China\n",
      "Census in Botswana\n",
      "Slovenia\n",
      "Lancaster station (Pennsylvania)\n",
      "Sardinian people\n",
      "Spenard, Anchorage\n",
      "Pomeranian Evangelical Church\n",
      "Aran Islands\n",
      "Bulgarians in Czechoslovakia\n",
      "Overseas department\n",
      "Rural Municipality of Bifrost\n",
      "Wedgeport\n",
      "Tibet Autonomous Region\n",
      "Denver Public Schools\n",
      "Middletown station (Pennsylvania)\n",
      "Ailik\n",
      "Tuxedo, Winnipeg\n",
      "Shenzhen Metro\n",
      "Priest shortage in the Catholic Church\n",
      "Timeline of Briarcliff Manor\n",
      "Telemark\n",
      "Template:Historical populations/row\n",
      "AT}}, \n",
      "***:AT}}, {{convert|670|m|ft|0|abbr=***\n",
      "Cumbria\n",
      "Nord-Trøndelag\n",
      "Presbyterian Church in the United States\n",
      "Prussian Union of Churches\n",
      "Weston, Winnipeg\n",
      "es|dis\n",
      "***:es|display=inline,title}}\n",
      "| elev***\n",
      "Coucy-le-Château-Auffrique\n",
      "Spring Garden, Philadelphia\n",
      "Santa Isabel, Baja California\n",
      "Buhera District\n",
      "Tuggeranong\n",
      "Øvre Sandsvær\n",
      "Estoril\n",
      "Duchy of Brunswick\n",
      "Coorg Province\n",
      "Cardinal Muench Seminary\n",
      "Marondera Central\n"
     ]
    }
   ],
   "source": [
    "# \"Spring Garden, PA\" is a problem: ignored as a neighborhood, but actually useful\n",
    "\n",
    "for i,s in enumerate(subset):\n",
    "    if s.country() is None and not s.drop_from_title():\n",
    "        print s.title\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: 'A'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m\u001b[0m",
      "\u001b[0;31mValueError\u001b[0mTraceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-2e0b20450aad>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"A\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'A'"
     ]
    }
   ],
   "source": [
    "int(\"A\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('US', 31675), ('FR', 16754), ('Unknown (Non-US)', 1491), ('CA', 836), ('AT', 754), (None, 498), ('RO', 250), ('ES', 178), ('RS', 149), ('Ireland', 140)]\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "countries = Counter()\n",
    "\n",
    "for i,article in enumerate(subset):\n",
    "    countries[article.country()] += 1\n",
    "        \n",
    "print countries.most_common(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hopkinton, Rhode Island\n",
      "City 9863\n",
      "Town 6469\n",
      "Village 3787\n",
      "Township 3256\n",
      "US County 2982\n",
      "Census-designated place 1397\n",
      "Borough 1162\n",
      "Cdp 571\n",
      "Unknown 337\n",
      "Unincorporated community 260\n",
      " 147\n",
      "Neighborhood 104\n",
      "Statutory town 100\n",
      "Home rule municipality 77\n",
      "County 75\n",
      "Community area}} 61\n",
      "General law city 52\n",
      "Census designated place 51\n",
      "US State 51\n",
      "Charter city 43\n",
      "Census Area 41\n",
      "Independent city 38\n",
      "Plantation 37\n",
      "Ghost town 32\n",
      "Census-designated place (cdp) &amp; unincorporated community 27\n",
      "Military Installation 27\n",
      "Census-designated place (cdp) 26\n",
      "Unorganized territory 22\n",
      "Former cdp 22\n",
      "Charter township 22\n",
      "Community 21\n",
      "Municipality 19\n",
      "State capital 18\n",
      "&quot;gr1&quot;&gt;publisher=[[united states census bureau|accessdate=2011-04-23|date=2011-02-12|title=us gazetteer files: 2010, 2000, and 1990}} 15\n",
      "Census-designated place &amp; unincorporated community 13\n",
      "Consolidated city-county 13\n",
      "town 13\n",
      "Second-class township 11\n",
      "Hamlet 11\n",
      "Former census-designated place 10\n",
      "Metropolitan statistical area 10\n",
      "NHRP 9\n",
      "Suburban town 9\n",
      "City and county seat 8\n",
      "Unincorporated Community 8\n",
      "Inactive village 8\n",
      "Statutory city 8\n",
      "County seat 8\n",
      "Neighborhood of miami gardens 7\n",
      "Former city 7\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "settlements = Counter()\n",
    "\n",
    "for i,article in enumerate(subset):\n",
    "    if article.country() == \"US\":\n",
    "        settlements[wikiparser.settle_type(article)] += 1\n",
    "        \n",
    "for (k,v) in settlements.most_common(50):\n",
    "    print k, v\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1000\n",
      "2000\n",
      "3000\n",
      "4000\n",
      "5000\n",
      "6000\n",
      "7000\n",
      "8000\n",
      "9000\n",
      "10000\n",
      "11000\n",
      "12000\n",
      "13000\n",
      "14000\n",
      "15000\n",
      "16000\n",
      "17000\n",
      "18000\n",
      "19000\n",
      "20000\n",
      "21000\n",
      "22000\n",
      "23000\n",
      "24000\n",
      "25000\n",
      "26000\n",
      "27000\n",
      "SOMETHING OFF WITH Hopkinton, Rhode Island\n",
      "28000\n",
      "29000\n",
      "30000\n",
      "31000\n",
      "32000\n",
      "33000\n",
      "34000\n",
      "35000\n",
      "36000\n",
      "37000\n",
      "38000\n",
      "39000\n",
      "40000\n",
      "41000\n",
      "42000\n",
      "43000\n",
      "44000\n",
      "45000\n",
      "46000\n",
      "47000\n",
      "48000\n",
      "49000\n",
      "50000\n",
      "51000\n",
      "52000\n",
      "53000\n",
      "La Flotte\n"
     ]
    }
   ],
   "source": [
    "rows = []\n",
    "failures = []\n",
    "import numpy as np\n",
    "years = range(1790,2020,10)\n",
    "\n",
    "for i,article in enumerate(subset):\n",
    "    if i % 1000 == 0:\n",
    "        print i\n",
    "    if article.country() not in [\"US\",\"USA\",\"United States\",\"United States of America\"]:\n",
    "        continue\n",
    "    if article.drop_from_title():\n",
    "        continue\n",
    "    out = {\"title\":article.title,\"id\":article.id}\n",
    "    try:\n",
    "        pops = article.pops()\n",
    "    except wikiparser.NoSuchAttribute:\n",
    "        print \"No pops for {}\".format(article.title)\n",
    "        failures.append(article)\n",
    "        continue\n",
    "    try:\n",
    "        out[\"state\"] = article.state()\n",
    "    except wikiparser.NoSuchAttribute:\n",
    "        if article.pops():\n",
    "            if article.pops()[-1][1] > 100000:\n",
    "                raise\n",
    "                failures.append(article)\n",
    "    except KeyError as exception:\n",
    "        if 'unorganized, unincorporated territory' in str(exception).lower():\n",
    "            continue\n",
    "        if 'plainlist' in str(exception):\n",
    "            # Some multi-state metro areas\n",
    "            continue\n",
    "        else:\n",
    "            raise\n",
    "    try:\n",
    "        out[\"lat\"],out[\"lon\"] = article.coords()\n",
    "    except:\n",
    "        out[\"lat\"], out[\"lon\"] = [None,None]\n",
    "    out[\"settlement_type\"] = wikiparser.settle_type(article)\n",
    "    try:\n",
    "        out[\"poptype\"] = str(article.poptype)\n",
    "    except:\n",
    "        out[\"poptype\"] = \"Unknown\"\n",
    "    for year in years:\n",
    "        out['y' + str(year)] = 0\n",
    "    try:\n",
    "        out['other_years'] = \"[\"\n",
    "        for year,population in article.pops():\n",
    "            year = 'y' + str(year)\n",
    "            if year in out: # Only store for census years\n",
    "                if population == 0:\n",
    "                    population=np.nan\n",
    "                out[year] = population\n",
    "            else:\n",
    "                out['other_years'] += \"[{},{}],\".format(year,population)\n",
    "        # Drop the final comma\n",
    "        out['other_years'] = out['other_years'][:-1]\n",
    "        # add a closing bar if anything was put here.\n",
    "        if (out['other_years'] != \"\"):\n",
    "            out['other_years'] += \"]\"\n",
    "    except TypeError:\n",
    "        print \"No pops for {}\".format(article.title)\n",
    "        #failures.append(article)\n",
    "        continue\n",
    "    out[\"article_length\"] = len(article.text)\n",
    "    out[\"country\"] = article.country()\n",
    "    rows.append(out)\n",
    "\n",
    "print article.title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
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   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{other uses}}\n",
      "      <text xml:space=\"preserve\">{{other uses}}\n",
      "{{Refimprove|date=April 2015}}\n",
      "The '''Pee Dee''' region of [[South Carolina]] is the northeastern corner of the state. The main [[area code]] is 843. It is the area of the lower watershed of the [[Pee Dee River]], named after the [[Pee Dee (tribe)|Pee Dee]] [[Native Americans in the United States|Native American]] tribe that occupies this area. They are descended from a culture of the same name that occupied the area as part of the South Appalachian Mississippian Culture, from about 1000 to 1400, leaving some centers for unknown reasons. The official seat of government for the Pee Dee Indian Tribe is now located in Marlboro County. They are a state recognized tribe who have been seeking federal acknowledgment since 1976. \n",
      "\n",
      "The region's 21st-century center is [[Florence, South Carolina|Florence]]. It encompasses the [[Grand Strand]], which includes the beaches running from the [[North Carolina]] state border to the [[Winyah Bay]] in [[Georgetown County, South Carolina|Georgetown County]] in South Carolina.\n",
      "\n",
      "On the coast, the area is predominantly involved in [[tourism]] and [[resort]]s, featuring beaches, [[amusement park]]s, shopping, fishing, and golf. The area has become a major retirement center in the United States, in part because of its low cost of living, mild weather, and its many golf courses.\n",
      "\n",
      "Inland is a belt featuring rivers, [[marsh]]es, [[carolina bay]]s, and sandy rises where forestry is predominant. There are pine [[plantation]]s and [[Taxodium distichum|baldcypress]] timbering. Further inland, on higher ground, but still of only slight relief, is an agricultural belt of cultivation of [[tobacco]], [[cotton]], [[soybean]]s and [[produce]].\n",
      "\n",
      "Founded as a railroad center in the 19th century, Florence is today a small, but growing center of production of [[pharmaceutical]]s, and other light industry. It is known as a center of medical and dental care. The Pee Dee Region also produces paper, steel, and recreational vehicles.\n",
      "\n",
      "== Regional definition ==\n",
      "There is no agreed definition on which of South Carolina's counties are included in the region. The region takes its name from the [[Pee Dee River]]. The counties in the Pee Dee region are located, either entirely or partially, within the river's watershed.\n",
      "\n",
      "{{US Census population\n",
      "|1950= 510179\n",
      "|1960= 532450\n",
      "|1970= 524091\n",
      "|1980= 624669\n",
      "|1990= 683840\n",
      "|2000= 777839\n",
      "|2010= 871876\n",
      "|estimate= 881395\n",
      "|estyear= 2012|align-fn=center\n",
      "|footnote=[https://web.archive.org/web/20060208103743/http://www.census.gov:80/prod/www/abs/decennial/ U.S. Decennial Census]\n",
      "}}\n",
      "\n",
      "=== Always included ===\n",
      "* [[Chesterfield County, South Carolina|Chesterfield County]]\n",
      "* [[Darlington County, South Carolina|Darlington County]]\n",
      "* [[Dillon County, South Carolina|Dillon County]]\n",
      "* [[Florence County, South Carolina|Florence County]]\n",
      "* [[Marlboro County, South Carolina|Marlboro County]]\n",
      "* [[Marion County, South Carolina|Marion County]]\n",
      "\n",
      "=== Usually included ===\n",
      "* [[Horry County, South Carolina|Horry County]]\n",
      "* [[Georgetown County, South Carolina|Georgetown County]]\n",
      "* [[Williamsburg County, South Carolina|Williamsburg County]]\n",
      "\n",
      "=== Rarely included ===\n",
      "* [[Clarendon County, South Carolina|Clarendon County]]\n",
      "* [[Lee County, South Carolina|Lee County]]\n",
      "* [[Sumter County, South Carolina|Sumter County]]\n",
      "\n",
      "== Politics ==\n",
      "The Pee Dee region has remained relatively constant during the first decade of the 21st century in terms of its voting history. The region's voters have been close during the previous four presidential elections, but lean toward the Republican Party. The tilt of the region is primarily due to the numerous Republicans resident in Horry County along the Atlantic coast.&lt;ref name=&quot;auto&quot;&gt;{{cite web|url=http://uselectionatlas.org/RESULTS/|title=Dave Leip's Atlas of U.S. Presidential Elections|first=David|last=Leip|website=Uselectionatlas.org|accessdate=2 January 2018}}&lt;/ref&gt;   \n",
      "\n",
      "At the congressional level, the region, including the rarely included counties, is located within three congressional districts. The Pee Dee region is mostly contained in [[South Carolina's 7th congressional district]]. \n",
      "\n",
      "Williamsburg, Clarendon, parts of Sumter, and parts of Florence counties are located in the [[majority-minority]] [[South Carolina's 6th congressional district|6th district]]. Lee and the remaining parts of Sumter counties are located in [[South Carolina's 5th congressional district|5th district]].&lt;ref&gt;{{cite web|url=http://www.islandpacket.com/2011/07/26/1738581/sc-lawmakers-approve-new-7th-congressional.html|title=SC lawmakers approve new 7th congressional district anchored in Horry County|website=Islandpacket.com|accessdate=2 January 2018}}&lt;/ref&gt; The 5th and 6th districts are represented by Republican [[Mick Mulvaney]] and Democrat [[Jim Clyburn]], respectively. \n",
      "\n",
      "The 7th district was established following the 2010 census. In the 2012 elections, incumbents Mulvaney and Clyburn won re-election. Republican [[Tom Rice]] defeated Democrat Gloria Tinubu, both of Horry County, 54.9% to 45.1%, to represent South Carolina's new House seat.&lt;ref&gt;[http://www.politico.com/2012-election/results/house/south-carolina/] {{dead link|date=January 2018}}&lt;/ref&gt;\n",
      "   \n",
      "{| align=&quot;right&quot; border=&quot;2&quot; cellpadding=&quot;4&quot; cellspacing=&quot;0&quot; style=&quot;margin: 0 1em 1em 1em; border: 1px #aaa solid; border-collapse: collapse; font-size: 95%;&quot;\n",
      "|+ '''Presidential Election Results 2000-2012'''&lt;ref name=&quot;auto&quot;/&gt;\n",
      "|- bgcolor=lightgrey\n",
      "! Year\n",
      "! [[Democratic Party (United States)|Democrat]]\n",
      "! [[Republican Party (United States)|Republican]]\n",
      "|-\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''[[U.S. presidential election, 2012|2012]]\n",
      "|align=&quot;center&quot; bgcolor=&quot;#f0f0ff&quot;|47% ''139,723''\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''53%''' ''159,629''\n",
      "|-\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''[[U.S. presidential election, 2008|2008]]\n",
      "|align=&quot;center&quot; bgcolor=&quot;#f0f0ff&quot;|47% ''138,565''\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''53%''' ''153,380''\n",
      "|-\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''[[U.S. presidential election, 2004|2004]]\n",
      "|align=&quot;center&quot; bgcolor=&quot;#f0f0ff&quot;|46% ''106,776''\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''54%''' ''124,487''\n",
      "|-\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''[[U.S. presidential election, 2000|2000]]\n",
      "|align=&quot;center&quot; bgcolor=&quot;#f0f0ff&quot;|47% ''96,150''\n",
      "|align=&quot;center&quot; bgcolor=&quot;#fff3f3&quot;|'''53%''' ''107,954''\n",
      "|-\n",
      "|}\n",
      "\n",
      "== Cities ==\n",
      "\n",
      "=== Primary cities ===\n",
      "(population figures is from 2010 census estimates)\n",
      "* [[Florence, South Carolina|Florence]]: 37,056\n",
      "* [[Myrtle Beach, South Carolina|Myrtle Beach]]: 27,109\n",
      "\n",
      "=== Cities with a population of at least 5,000 ===\n",
      "* [[Bennettsville, South Carolina|Bennettsville]]: 9,425\n",
      "* [[Cheraw, South Carolina|Cheraw]]: 9,069\n",
      "* [[Conway, South Carolina|Conway]]: 15,584\n",
      "* [[Darlington, South Carolina|Darlington]]: 6,720\n",
      "* [[Dillon, South Carolina|Dillon]]: 6,316\n",
      "* [[Georgetown, South Carolina|Georgetown]]: 8,950\n",
      "* [[Hartsville, South Carolina|Hartsville]]: 7,556\n",
      "* [[Lake City, South Carolina|Lake City]]: 6,478\n",
      "* [[Marion, South Carolina|Marion]]: 7,042\n",
      "* [[North Myrtle Beach, South Carolina|North Myrtle Beach]]: 15,516\n",
      "\n",
      "== Higher education ==\n",
      "\n",
      "=== 4-year colleges ===\n",
      "* [[Coastal Carolina University]]- Conway\n",
      "* [[Coker College]]- Hartsville\n",
      "* [[Francis Marion University]]- Florence\n",
      "\n",
      "=== 2-year or specialized colleges ===\n",
      "* [[Florence-Darlington Technical College]]-Florence\n",
      "* [[Horry-Georgetown Technical College]]- Conway\n",
      "* [[Northeastern Technical College]]- Cheraw\n",
      "* [[Williamsburg Technical College]]- Kingstree\n",
      "* [[Webster University]]- Myrtle Beach\n",
      "\n",
      "== Media ==\n",
      "The area is served by four commercial broadcast television stations, [[WBTW-TV|WBTW CBS 13]], [[WPDE-TV|WPDE ABC 15]], [[WMBF-TV|WMBF NBC 32]] and [[WFXB|WFXB Fox 43]], the first two with twin studios at Florence and Myrtle Beach, as well as two [[South Carolina Educational Television|educational television]] stations substations, WHMC-TV, in [[Conway, South Carolina]], and WJPM-TV in [[Florence, South Carolina]]\n",
      "\n",
      "Daily newspapers include ''[[The Sun News]]'' of Myrtle Beach and ''[[The Morning News (American newspaper)|The Morning News]]'' of Florence. The ''[[Georgetown, South Carolina|Georgetown Times]]'' is published five times per week.\n",
      "\n",
      "==Major highways==\n",
      "*[[Interstate 20 in South Carolina|Interstate 20]]\n",
      "*[[Interstate 95 in South Carolina|Interstate 95]]\n",
      "*Future [[Interstate 73 in South Carolina|Interstate 73]]\n",
      "*[[US Route 1|US Highway 1]]\n",
      "*[[US Route 15|US Highway 15]]\n",
      "*[[US Route 52|US Highway 52]]\n",
      "*[[US Route 76|US Highway 76]]\n",
      "*[[US Route 301|US Highway 301]]\n",
      "*[[US Route 378|US Highway 378]]\n",
      "*[[US Route 501|US Highway 401]]\n",
      "*[[US Route 501|US Highway 501]]\n",
      "*[[US Route 701|US Highway 701]] \n",
      "*[[SC Highway 22]]\n",
      "*[[South Carolina Highway 9|SC Highway 9]]\n",
      "*[[South Carolina Highway 38|SC Highway 38]]\n",
      "*[[South Carolina Highway 41|SC Highway 41]] &amp; [[South Carolina Highway 41#Marion alternate route|SC Highway 41 ALT]]\n",
      "*[[SC 51|SC Highway 51]]\n",
      "*[[SC 145|SC Highway 145]]\n",
      "*[[SC 151|SC Highway 151]]\n",
      "*[[SC 177|SC Highway 177]]\n",
      "\n",
      "==See also==\n",
      "* [[Early history of Williamsburg, South Carolina]]\n",
      "* [[Pee Dee Area Council]]\n",
      "* [[Peedee Formation]]\n",
      "\n",
      "==References==\n",
      "{{Reflist}}\n",
      "\n",
      "==External links==\n",
      "* [http://peedeetourism.com/ Pee Dee Tourism Commission]\n",
      "\n",
      "{{South Carolina}}\n",
      "\n",
      "{{Coord|34.205833|-79.539167|display=title}}\n",
      "\n",
      "[[Category:Regions of South Carolina]\n"
     ]
    }
   ],
   "source": [
    "print article.text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Code used to debug settlement type. Fiddled with until I was getting > 99% extraction rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "99\n"
     ]
    }
   ],
   "source": [
    "for j in range(100):\n",
    "    f = random.sample(subset,1)[0]\n",
    "    if f.drop_from_title():\n",
    "        continue\n",
    "    #print f.text[:500]\n",
    "    for i in range(10):\n",
    "        if f.country() != \"US\":\n",
    "            f = random.sample(subset,1)[0]\n",
    "    _ = wikiparser.settle_type(f)\n",
    "    if _ == \"Unknown\":\n",
    "        print j\n",
    "        print f.title\n",
    "        print f.text[:2500]\n",
    "        raise\n",
    "print  j"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "What are some places that have no state listed in them?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\"Fort Wainwright\":\"\",\n",
      "\"Woodlawn (Birmingham)\":\"\",\n",
      "\"McChord Field\":\"\",\n",
      "\"Tuscarora Reservation\":\"\",\n",
      "\"Grissom Air Reserve Base\":\"\",\n",
      "\"Fort Lewis\":\"\",\n",
      "\"Fort Leonard Wood\":\"\",\n",
      "\"Fort McClellan\":\"\",\n",
      "\"Andrews Air Force Base\":\"\",\n",
      "\"Minot Air Force Base\":\"\",\n",
      "\"Camden County High School (Georgia)\":\"\",\n",
      "\"Shekhan District\":\"\",\n",
      "\"Grosse Pointe\":\"\",\n",
      "\"Eielson Air Force Base\":\"\",\n",
      "\"Nellis Air Force Base\":\"\",\n",
      "\"Ensley (Birmingham)\":\"\",\n",
      "\"Beale Air Force Base\":\"\",\n",
      "\"Louds Island\":\"\",\n",
      "\"K. I. Sawyer Air Force Base\":\"\",\n",
      "\"Louisiana State University\":\"\",\n",
      "\"Edwards Air Force Base\":\"\",\n",
      "\"Joint Base Andrews\":\"\",\n",
      "\"Tribeca\":\"\",\n",
      "\"Fort Carson\":\"\",\n",
      "\"Kentucky State University\":\"\",\n",
      "\"Greater Grand Forks\":\"\",\n",
      "\"Tyndall Air Force Base\":\"\",\n",
      "\"McGuire Air Force Base\":\"\",\n",
      "\"Oil Springs Reservation\":\"\",\n",
      "\"Mountain Home Air Force Base\":\"\",\n",
      "\"Johnstown Inclined Plane\":\"\",\n",
      "\"Vint Hill Farms Station\":\"\",\n",
      "\"Fairchild Air Force Base\":\"\",\n",
      "\"Fort Richardson (Alaska)\":\"\",\n",
      "\"Dover Air Force Base\":\"\",\n",
      "\"Redstone Arsenal\":\"\",\n",
      "\"St. Regis Mohawk Reservation\":\"\",\n",
      "\"Allegany Indian Reservation\":\"\",\n",
      "\"Washington County, D.C.\":\"\",\n",
      "\"Fort Rucker\":\"\",\n",
      "\"Elmendorf Air Force Base\":\"\",\n",
      "\"University of Oregon\":\"\",\n",
      "\"Big Coppitt Key\":\"\",\n",
      "\"Ellsworth Air Force Base\":\"\",\n"
     ]
    }
   ],
   "source": [
    "for f in subset:\n",
    "    if f.drop_from_title():\n",
    "        continue\n",
    "    if f.country() != \"US\":\n",
    "        continue\n",
    "    try:\n",
    "        _ = f.state()\n",
    "    except wikiparser.NoSuchAttribute:\n",
    "        p = f.pops()\n",
    "        try:\n",
    "            # Only print big places.\n",
    "            if p[-1][1] < 1000: \n",
    "                continue\n",
    "        except:\n",
    "            pass\n",
    "        print '\"{}\":\"\",'.format(f.title)\n",
    "        #print f.text[:2500]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This data is written out to separate files for each state to make it easier to merge with Jacob Alperin's data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# A list of state names\n",
    "import provinces\n",
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "\n",
    "frame = pd.DataFrame(rows)\n",
    "from ggplot import *\n",
    "if not os.path.exists(\"wikipedia_state_data\"):\n",
    "    os.makedirs(\"wikipedia_state_data\")\n",
    "for k,v in provinces.us_states.iteritems():\n",
    "    frame[frame.state==v].to_csv(\"wikipedia_state_data/{}.csv\".format(v))\n",
    "\n",
    "frame.to_csv(\"wiki3.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#frame = frame[frame.poptype==\"USA\" ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xc+dOnn32Wex2O0OGDOG3v/1taI51NClUi4iIiIhESNM/REREREQipFAtIiIiIhIhhWoR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Y04FJVby6rxaBdqimyObEx0cuF08MgjSbvZs97x/f39qfQPIQTPPfccmja1v045UZ3jkqL7ZPqj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\n4tx4zuRbBhUBRU5Jb3hYSJY4B8SsphC5tGzU/cObS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ghqQCrpku9MPXFZhTWOFOER9PEL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F7KmsxJy0SYuCaEhBy0jZLa02WHuNJHx69JNgJ8q3Kt+BFPktkVBldI2rXz7m+4X8p/j9pTfj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\naOi/rMTsdjOYRO8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa1e0ae1cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8770827287017)>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(frame[frame.lon < -25],aes(x=\"lon\",y=\"lat\",color=\"state\")) + geom_point() + ylim(20,60) + xlim(-140,-60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ffzxz587FMAzefvtt3nzzTc477zwAvF4vPl/i8jiPx4PNlhpDZbVasdvtvW4/JWcM1w09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r2Uu2qYnT61zbXyVMHbfFqxiq3WfJbXbGZm7MSAYHH63Hxfk8Ne2yHSDPFoRQ0Lcv9OgaMUl+yh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pxzuLCfU3YWAhhJ+R4z/gvNwTEh2WiIj0IRVWIjLoFbly+UXpV1hev5Y0XFycfwa1/ka+t+X3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\n9P8DCZV31ziZ//wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa1de7c7850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8770824927673)>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(frame[frame.lon < -25],aes(x=\"lon\",y=\"lat\",color=\"poptype\")) + geom_point() + ylim(20,60) + xlim(-140,-60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Matching on values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "array = np.array(frame[[\"y\" + str(y) for y in years]],np.float64)\n",
    "array[array==0] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "all_matches = []\n",
    "\n",
    "for i in range(len(array)):\n",
    "    p = array[i:-1]==array[i+1:]\n",
    "    matches = np.where(np.sum(p,axis=1)>2)\n",
    "    if len(matches[0]) > 0:\n",
    "        print i\n",
    "        all_matches.append((i,matches))\n",
    "    if i % 5000 == 0:\n",
    "        print i\n",
    "                       \n",
    "                       \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "c1 = pd.read_csv(\"wiki_census/MEPlaces.csv\")\n",
    "c1[\"2010\"] = pd.to_numeric(c1[\"2010\"],np.float64)\n",
    "maine = np.array(c1[[str(y) for y in years]])\n",
    "\n",
    "# (202) 224-3121\n",
    "\n",
    "def match_row(a,b,i,min=3):\n",
    "    l = np.where(np.sum(a == b[i],axis=1)>min)[0]\n",
    "    if len(l) > 0:\n",
    "        return list(l)\n",
    "    \n",
    "def match_matrices(a,b,min=3):\n",
    "    matches = []\n",
    "    for i in range(len(b)):\n",
    "        row_matches = match_row(a,b,i,min=min)\n",
    "        matches.append((i,row_matches))\n",
    "    return matches\n",
    "fah = match_matrices(array,maine)\n",
    "fah[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "CESTA = pd.read_csv(\"../MiscData/CESTACityData.csv\")\n",
    "CESTA[\"2010\"] = pd.to_numeric(CESTA[\"2010\"],np.float64)\n",
    "c_mat = np.array(CESTA[[str(y) for y in years]])\n",
    "#c_mat[c_mat < 2500] = np.nan\n",
    "c_mat[c_mat==0] = np.nan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "altered_array = array.clip(2500)\n",
    "\n",
    "cesta_crosswalk = match_matrices(array,c_mat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "j = 0\n",
    "misses = []\n",
    "for i,matches in cesta_crosswalk:\n",
    "    if matches is None:\n",
    "        if c_mat[i][19] > 0:\n",
    "            misses.append(i)\n",
    "            j += 1\n",
    "            print j,i,CESTA.iloc[i][\"CityST\"], \", \".join([str(int(p)) for p in list(c_mat[i]) if not np.isnan(p)])\n",
    "            f = c_mat[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "print len(misses)\n",
    "random.seed(3)\n",
    "sampled = random.sample(misses,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "i = sampled[0]\n",
    "place, pops = CESTA.iloc[i][\"CityST\"], \", \".join([str(int(p)) if not np.isnan(p) else \"0\" for p in list(c_mat[i])])\n",
    "print place,\"--\", pops\n",
    "\n",
    "print frame[frame.title==\"Brunswick, Maine\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "So after digging around, it seems that CESTA reports statistics for the Brunswick CDP, (but rounded to the nearest 100?), while Wikipedia gives the statistics for Brunswick Town. The difference being a second CDP,   https://en.wikipedia.org/wiki/Brunswick_Station,_Maine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "i = sampled[1]\n",
    "place, pops = CESTA.iloc[i][\"CityST\"], \", \".join([str(int(p)) if not np.isnan(p) else \"0\" for p in list(c_mat[i])])\n",
    "print place,\"--\", pops\n",
    "\n",
    "print frame[frame.title==\"Lakewood Township, New Jersey\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "CESTA = pd.read_csv(\"../MiscData/CESTACityData.csv\")\n",
    "CESTA[\"2010\"] = pd.to_numeric(CESTA[\"2010\"],np.float64)\n",
    "c_mat = np.array(CESTA[[str(y) for y in years]])\n",
    "c_mat[c_mat < 2500] = np.nan\n",
    "c_mat[c_mat==0] = np.nan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "print sum(sum(c_mat>0))\n",
    "print sum(sum(array>0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Now I want to load the data from the wikipedia editor DemocraticLuntz, which is not the same as the full wikipedia set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "fs = [f for f in os.listdir(\"wiki_census/\") if f.endswith(\".csv\")]\n",
    "fs.sort()\n",
    "print fs\n",
    "print \"\"\"\n",
    "There are multiple files for some places. I use the longer one, because it has more populations entered in.\n",
    "(Inspecting differences makes this clear.)\n",
    "\"\"\"\n",
    "\n",
    "master_list = []\n",
    "last = \"XXf\"\n",
    "for f in fs:\n",
    "    if f[:2]!=last[:2]:\n",
    "        master_list.append(f)\n",
    "    else:\n",
    "        # which is bigger?\n",
    "        if os.path.getsize(\"wiki_census/\" + master_list[-1]) > os.path.getsize(\"wiki_census/\" +f):\n",
    "            continue\n",
    "        else:\n",
    "            continue\n",
    "    last = f\n",
    "print master_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "all_together = pd.DataFrame([])\n",
    "for f in master_list:\n",
    "    new_data = pd.read_csv(\"wiki_census/\" + f,na_values = [\"-\",\"(X)\",\" \"])\n",
    "    new_data[\"state\"] = f[:2]\n",
    "    all_together = all_together.append(new_data)\n",
    "\n",
    "year_frame = all_together[[str(y) for y in years]]\n",
    "for y in years:\n",
    "    # God I hate pandas because I don't know every\n",
    "    pass\n",
    "    #year_frame[str(y)] = pd.to_numeric(year_frame[str(y)])\n",
    "jacob_mat = np.array(year_frame[[str(y) for y in years]])\n",
    "jacob_mat[jacob_mat==0] = np.nan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "sum(sum(jacob_mat>0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "There's a straightforward disagreement in at least this one case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "a = frame[frame[\"title\"]==\"Princeton, Indiana\"].index[0]\n",
    "b = CESTA[CESTA.CityST == \"Princeton, IN\"].index[0]\n",
    "zip(\n",
    "    list(array[a]),\n",
    "    list(c_mat[b])\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Indana.gov says:\n",
    "    6,041\t6,448\t7,132\t7,505\t7,786\t7,673\t7,906\t7,431\t8,976\t8,127\t8,175\t8,644\n",
    "    \n",
    "IOW, agrees with the CESTA data.\n",
    "So does the Census report.\n",
    "So does jacobmas's data. It seems this is an anonymous wikipedia editor in 2007, who put in \n",
    "[an absurdly high current population](https://en.wikipedia.org/w/index.php?title=Princeton,_Indiana&diff=187475063&oldid=183213818) and just a whole bunch of bad (made-up?) numbers from before.'\n",
    "|1850= 806\n",
    "|1860= 1397\n",
    "|1870= 1847\n",
    "|1880= 2566\n",
    "|1890= 3076\n",
    "|1900= 6041\n",
    "|1910= 6448\n",
    "|1920= 7132\n",
    "|1930= 7505\n",
    "|1940= 7786\n",
    "|1950= 7673\n",
    "|1960= 7906\n",
    "|1970= 7431\n",
    "|1980= 8976\n",
    "|1990= 8127\n",
    "|2000= 8175\n",
    "|2010= 8644\n",
    "|2020= 8608\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Save to disk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Confirm that requiring at least 3 matches produces no hash collisions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "c_self = match_matrices(c_mat,c_mat,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "for row,matches in c_self:\n",
    "    try:\n",
    "        if len(matches) != 1:\n",
    "            print row,matches\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "It does not. The only collision is lines 1 and 2, because the Lahnmeyer data rounds to 100 for Alaskan towns. 8227 and 570 are both Lake Elsinore, CA. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "CESTA.iloc[8227]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "total_pop = [(title,sum([p for (y,p) in pops]), pops[-2][1], length) for title,pops,length in older]\n",
    "import pandas as pd\n",
    "total_pop.sort(key = lambda x: x[1],reverse=True)\n",
    "frame = pd.DataFrame(total_pop,columns=[\"title\",\"total\",\"last\",\"length\"])\n",
    "frame.to_csv(\"city_pops.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import shelve\n",
    "\n",
    "def keyer(x):\n",
    "    return len(x[1])\n",
    "older.sort(key = keyer,reverse=True)\n",
    "[(o[0],len(o[1])) for o in older[:25]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import shelve\n",
    "\n",
    "def keyer(x):\n",
    "    return len(x[1])\n",
    "older.sort(key = keyer,reverse=True)\n",
    "[(o[0],len(o[1])) for o in older[:25]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "[(c[0],c[1]) for c in older if c[0]==\"Connecticut\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "[a.title for a in cache if \"Brooklyn\" in a.title]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "foo = wikiparser.WikipediaArticle(\"London\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import mwparserfromhell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "self = wikiparser.WikipediaArticle(\"Chicago\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "foo.mwparse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "random.sample(cache,1)[0].historical_pops()"
   ]
  }
 ],
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