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jimmyrocks/Northampton County Election.ipynb

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Northampton County, PA - Election Nov 3, 2020
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Northampton County Election.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done Step 1\n"
]
}
],
"source": [
"# Step 1\n",
"# Download the Northampton County, PA Precincts\n",
"\n",
"import urllib\n",
"import subprocess\n",
"import json\n",
"import re\n",
"import os\n",
"\n",
"output_file = \"/tmp/northampton_county_precincts.geojson\"\n",
"\n",
"url = 'https://gis.northamptoncounty.org/arcgisweb/rest/services/ElectionAdmin/ElectoralDistricts/MapServer/9/query'\n",
"query_string = {\n",
" \"where\": \"1=1\",\n",
" \"f\": \"json\",\n",
" \"outfields\": \"*\"\n",
"}\n",
"url += \"?\" + \"&\".join(list(map(lambda x: x + '=' + urllib.parse.quote(query_string[x]), query_string)))\n",
"\n",
"if not os.path.exists(output_file):\n",
" # Only download it if it doesn't already exist\n",
" ogrtask = subprocess.run([\n",
" \"ogr2ogr\",\n",
" \"-f\", \"GeoJSON\", output_file,\n",
" url,\n",
" \"-s_srs\", \"EPSG:2272\", \"-t_srs\", \"EPSG:4326\"\n",
" ])\n",
"\n",
"precincts_geojson = json.load(open(output_file))\n",
"print ('Done Step 1')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done Step 2\n"
]
}
],
"source": [
"# Step 2\n",
"# Download and parse the PDF from the county\n",
"\n",
"#results_url = \"https://www.northamptoncounty.org/CTYADMN/ELECTNS/Election%20Results/precinct(11-4%208pm).pdf\"\n",
"results_url = \"https://www.northamptoncounty.org/CTYADMN/ELECTNS/Election%20Results/Prec.pdf\"\n",
"output_pdf_file = \"/tmp/precincts_results.pdf\"\n",
"if not os.path.exists(output_pdf_file):\n",
" urllib.request.urlretrieve(results_url, output_pdf_file)\n",
"\n",
"print ('Done Step 2')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"..parsing file\n",
"...processing\n",
"Done Step 3\n"
]
}
],
"source": [
"# Step 3\n",
"# Convert the PDF to Text\n",
"from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter\n",
"from pdfminer.converter import TextConverter\n",
"from pdfminer.layout import LAParams\n",
"from pdfminer.pdfpage import PDFPage\n",
"from io import StringIO\n",
"\n",
"def convert_pdf_to_txt(path):\n",
" rsrcmgr = PDFResourceManager()\n",
" retstr = StringIO()\n",
" codec = 'utf-8'\n",
" laparams = LAParams(all_texts=True, char_margin = 20)\n",
" device = TextConverter(rsrcmgr, retstr, laparams=laparams)\n",
" fp = open(path, 'rb')\n",
" interpreter = PDFPageInterpreter(rsrcmgr, device)\n",
" maxpages = 0\n",
" caching = True\n",
" pagenos=set()\n",
"\n",
" for page in PDFPage.get_pages(fp, pagenos, maxpages=maxpages,\n",
" caching=caching,\n",
" check_extractable=True):\n",
" interpreter.process_page(page)\n",
"\n",
" text = retstr.getvalue()\n",
"\n",
" fp.close()\n",
" device.close()\n",
" retstr.close()\n",
" return text\n",
"\n",
"print ('..parsing file')\n",
"precinct_results = convert_pdf_to_txt(output_pdf_file)\n",
"print (\"...processing\")\n",
"# Remove excessive newlines and make it into an array\n",
"double_newline = re.compile('\\n\\n')\n",
"precinct_result_array = [list_element.strip('\\n\\n') for list_element in double_newline.sub(\"\\n\",precinct_results).strip('\\n').split(\"\\n\")]\n",
"print ('Done Step 3')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done Step 4\n"
]
}
],
"source": [
"# Step 4\n",
"# Parse the PDF output\n",
"\n",
"from functools import reduce\n",
"\n",
"def build_results(data):\n",
" if len(data) > 1:\n",
" # Generate the columns and rows and write it\n",
" rows = (int(len(data)/2))\n",
" built_table = dict(reduce(\n",
" lambda base, value: {**base, **value}, (map(\n",
" lambda a,b: {a: b},\n",
" data[0:rows],\n",
" data[rows:rows*2]))\n",
" ))\n",
" return built_table\n",
" \n",
"\n",
"\n",
"def parse_data(input_array):\n",
" result = {}\n",
"\n",
" current_precinct = \"\"\n",
" current_table_name = \"\"\n",
" current_table = []\n",
"\n",
" lines_to_ignore = [\n",
" \"UNOFFICIAL RESULTS\",\n",
" \"Summary Results Report\",\n",
" \" Summary Results Report\",\n",
" \"\\fSummary Results Report\",\n",
" \"General Election\",\n",
" \"November 3, 2020\",\n",
" \"NORTHAMPTON COUNTY, PENNSYLVANIA\",\n",
" \"Report generated with Electionware Copyright © 2007-2018\",\n",
" \"Precinct Summary - .+\",\n",
" \"Page .+\",\n",
" \"Vote For .+\",\n",
" \"\"\n",
" ]\n",
" \n",
" precinct_re = re.compile(\"(\\d{6,6}-\\d)\\s.+\")\n",
" lines_to_ignore_re = list(map(lambda l: re.compile(\"^\"+l+\"$\"), lines_to_ignore))\n",
" idx_max = len(input_array)\n",
"\n",
" for line in input_array:\n",
" ignore = False\n",
" for expression in lines_to_ignore_re:\n",
" if expression.match(line):\n",
" ignore = True\n",
" if not ignore:\n",
" if precinct_re.match(line) or len(current_table) >= idx_max:\n",
" # We have matched a precinct line\n",
" # This can identify one of two things\n",
" # 1. The end of a group of text\n",
" # 2. The start of a new group\n",
" \n",
" if len(current_table) > 1:\n",
" if current_precinct in result:\n",
" #Append to it\n",
" result[current_precinct] = {\n",
" **result[current_precinct],\n",
" **build_results(current_table)\n",
" }\n",
" else:\n",
" #Write the first entry\n",
" result[current_precinct] = build_results(current_table)\n",
" \n",
" # clear the current table and tell it that the next row will be a table name\n",
" current_table = []\n",
" current_table_name = \"__NEW__\"\n",
" idx_max = len(input_array)\n",
" \n",
" # Set the (new?) precinct name\n",
" if precinct_re.match(line):\n",
" current_precinct = precinct_re.sub(\"\\\\1\", line)\n",
" else:\n",
" current_table_name = line\n",
" elif current_table_name == \"__NEW__\":\n",
" # This means the next line is a table name, so update the tablename field\n",
" current_table_name = line\n",
" \n",
" # Set a max_idx once the totals come in to get around parsing issues\n",
" if line == 'TOTAL' and idx_max == len(input_array):\n",
" idx_max = (len(current_table) * 2)\n",
"\n",
" elif line == 'TOTAL' and current_table_name == 'TOTAL':\n",
" # We can ignore the extra TOTAL rows\n",
" current_table_name == 'TOTAL'\n",
" else:\n",
" if current_table_name == 'TOTAL':\n",
" current_table.append(line.replace(',', ''))\n",
" else:\n",
" current_table.append(current_table_name + \" \" + line)\n",
" # Also set the table_name to update if it matches any of the last lines\n",
" if line in [\"Write-In Totals\", \"Voter Turnout - Total\"]:\n",
" current_table_name = \"__NEW__\"\n",
" return result\n",
"\n",
"precinct_report_dict = parse_data(precinct_result_array)\n",
"print ('Done Step 4')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Step 5 Done\n"
]
},
{
"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>STATISTICS Registered Voters - Total</th>\n",
" <th>STATISTICS Ballots Cast - Total</th>\n",
" <th>STATISTICS Ballots Cast - Blank</th>\n",
" <th>STATISTICS Voter Turnout - Total</th>\n",
" <th>Presidential Electors DEM Biden and Harris</th>\n",
" <th>Presidential Electors REP Trump and Pence</th>\n",
" <th>Presidential Electors LIB Jorgensen and Cohen</th>\n",
" <th>Presidential Electors Write-In Totals</th>\n",
" <th>Attorney General DEM Josh Shapiro</th>\n",
" <th>Attorney General REP Heather Heidelbaugh</th>\n",
" <th>...</th>\n",
" <th>PA State Treasurer Pct DEM</th>\n",
" <th>PA State Treasurer Pct REP</th>\n",
" <th>PA State Treasurer Pct LIB</th>\n",
" <th>PA State Treasurer Pct GRE</th>\n",
" <th>PA Representative in Congress 7th Congressional District Pct DEM</th>\n",
" <th>PA Representative in Congress 7th Congressional District Pct REP</th>\n",
" <th>County Total Votes</th>\n",
" <th>Pct Ballots Cast</th>\n",
" <th>Max Ballots Cast</th>\n",
" <th>Min Ballots Cast</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>010001-1</th>\n",
" <td>1969</td>\n",
" <td>1665.0</td>\n",
" <td>0</td>\n",
" <td>84.56%</td>\n",
" <td>641</td>\n",
" <td>998</td>\n",
" <td>17</td>\n",
" <td>2</td>\n",
" <td>636</td>\n",
" <td>927</td>\n",
" <td>...</td>\n",
" <td>35.975976</td>\n",
" <td>56.816817</td>\n",
" <td>1.801802</td>\n",
" <td>1.321321</td>\n",
" <td>37.837838</td>\n",
" <td>59.759760</td>\n",
" <td>170048.0</td>\n",
" <td>0.979135</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>010002-1</th>\n",
" <td>2144</td>\n",
" <td>1708.0</td>\n",
" <td>0</td>\n",
" <td>79.66%</td>\n",
" <td>800</td>\n",
" <td>887</td>\n",
" <td>16</td>\n",
" <td>3</td>\n",
" <td>796</td>\n",
" <td>822</td>\n",
" <td>...</td>\n",
" <td>43.618267</td>\n",
" <td>48.887588</td>\n",
" <td>2.224824</td>\n",
" <td>1.170960</td>\n",
" <td>46.545667</td>\n",
" <td>50.878220</td>\n",
" <td>170048.0</td>\n",
" <td>1.004422</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>020100-1</th>\n",
" <td>927</td>\n",
" <td>590.0</td>\n",
" <td>0</td>\n",
" <td>63.65%</td>\n",
" <td>260</td>\n",
" <td>320</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>250</td>\n",
" <td>298</td>\n",
" <td>...</td>\n",
" <td>41.864407</td>\n",
" <td>51.186441</td>\n",
" <td>2.881356</td>\n",
" <td>1.355932</td>\n",
" <td>43.898305</td>\n",
" <td>54.237288</td>\n",
" <td>170048.0</td>\n",
" <td>0.346961</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>020200-1</th>\n",
" <td>819</td>\n",
" <td>548.0</td>\n",
" <td>0</td>\n",
" <td>66.91%</td>\n",
" <td>228</td>\n",
" <td>310</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>222</td>\n",
" <td>268</td>\n",
" <td>...</td>\n",
" <td>38.503650</td>\n",
" <td>50.364964</td>\n",
" <td>3.832117</td>\n",
" <td>1.277372</td>\n",
" <td>39.781022</td>\n",
" <td>54.744526</td>\n",
" <td>170048.0</td>\n",
" <td>0.322262</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>020300-1</th>\n",
" <td>853</td>\n",
" <td>623.0</td>\n",
" <td>0</td>\n",
" <td>73.04%</td>\n",
" <td>248</td>\n",
" <td>363</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" <td>254</td>\n",
" <td>327</td>\n",
" <td>...</td>\n",
" <td>38.041734</td>\n",
" <td>53.611557</td>\n",
" <td>3.210273</td>\n",
" <td>0.642055</td>\n",
" <td>39.325843</td>\n",
" <td>57.784912</td>\n",
" <td>170048.0</td>\n",
" <td>0.366367</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>360004-1</th>\n",
" <td>816</td>\n",
" <td>691.0</td>\n",
" <td>0</td>\n",
" <td>84.68%</td>\n",
" <td>291</td>\n",
" <td>382</td>\n",
" <td>12</td>\n",
" <td>2</td>\n",
" <td>284</td>\n",
" <td>362</td>\n",
" <td>...</td>\n",
" <td>38.784370</td>\n",
" <td>52.966715</td>\n",
" <td>2.026049</td>\n",
" <td>1.302460</td>\n",
" <td>41.823444</td>\n",
" <td>56.439942</td>\n",
" <td>170048.0</td>\n",
" <td>0.406356</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>370100-1</th>\n",
" <td>1713</td>\n",
" <td>1112.0</td>\n",
" <td>1</td>\n",
" <td>64.92%</td>\n",
" <td>636</td>\n",
" <td>445</td>\n",
" <td>20</td>\n",
" <td>4</td>\n",
" <td>619</td>\n",
" <td>388</td>\n",
" <td>...</td>\n",
" <td>52.158273</td>\n",
" <td>37.050360</td>\n",
" <td>3.956835</td>\n",
" <td>2.158273</td>\n",
" <td>56.025180</td>\n",
" <td>40.017986</td>\n",
" <td>170048.0</td>\n",
" <td>0.653933</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>370200-1</th>\n",
" <td>1347</td>\n",
" <td>921.0</td>\n",
" <td>0</td>\n",
" <td>68.37%</td>\n",
" <td>528</td>\n",
" <td>373</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>513</td>\n",
" <td>337</td>\n",
" <td>...</td>\n",
" <td>51.900109</td>\n",
" <td>37.785016</td>\n",
" <td>4.125950</td>\n",
" <td>1.628664</td>\n",
" <td>55.374593</td>\n",
" <td>41.259501</td>\n",
" <td>170048.0</td>\n",
" <td>0.541612</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>370300-1</th>\n",
" <td>2128</td>\n",
" <td>1488.0</td>\n",
" <td>2</td>\n",
" <td>69.92%</td>\n",
" <td>755</td>\n",
" <td>695</td>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" <td>755</td>\n",
" <td>600</td>\n",
" <td>...</td>\n",
" <td>47.580645</td>\n",
" <td>42.607527</td>\n",
" <td>2.217742</td>\n",
" <td>1.948925</td>\n",
" <td>50.806452</td>\n",
" <td>45.362903</td>\n",
" <td>170048.0</td>\n",
" <td>0.875047</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>380000-1</th>\n",
" <td>1814</td>\n",
" <td>1329.0</td>\n",
" <td>0</td>\n",
" <td>73.26%</td>\n",
" <td>526</td>\n",
" <td>781</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" <td>511</td>\n",
" <td>726</td>\n",
" <td>...</td>\n",
" <td>36.794582</td>\n",
" <td>55.831452</td>\n",
" <td>2.257336</td>\n",
" <td>0.902935</td>\n",
" <td>37.848006</td>\n",
" <td>58.765989</td>\n",
" <td>170048.0</td>\n",
" <td>0.781544</td>\n",
" <td>3295.0</td>\n",
" <td>119.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>154 rows × 64 columns</p>\n",
"</div>"
],
"text/plain": [
" STATISTICS Registered Voters - Total \\\n",
"010001-1 1969 \n",
"010002-1 2144 \n",
"020100-1 927 \n",
"020200-1 819 \n",
"020300-1 853 \n",
"... ... \n",
"360004-1 816 \n",
"370100-1 1713 \n",
"370200-1 1347 \n",
"370300-1 2128 \n",
"380000-1 1814 \n",
"\n",
" STATISTICS Ballots Cast - Total STATISTICS Ballots Cast - Blank \\\n",
"010001-1 1665.0 0 \n",
"010002-1 1708.0 0 \n",
"020100-1 590.0 0 \n",
"020200-1 548.0 0 \n",
"020300-1 623.0 0 \n",
"... ... ... \n",
"360004-1 691.0 0 \n",
"370100-1 1112.0 1 \n",
"370200-1 921.0 0 \n",
"370300-1 1488.0 2 \n",
"380000-1 1329.0 0 \n",
"\n",
" STATISTICS Voter Turnout - Total \\\n",
"010001-1 84.56% \n",
"010002-1 79.66% \n",
"020100-1 63.65% \n",
"020200-1 66.91% \n",
"020300-1 73.04% \n",
"... ... \n",
"360004-1 84.68% \n",
"370100-1 64.92% \n",
"370200-1 68.37% \n",
"370300-1 69.92% \n",
"380000-1 73.26% \n",
"\n",
" Presidential Electors DEM Biden and Harris \\\n",
"010001-1 641 \n",
"010002-1 800 \n",
"020100-1 260 \n",
"020200-1 228 \n",
"020300-1 248 \n",
"... ... \n",
"360004-1 291 \n",
"370100-1 636 \n",
"370200-1 528 \n",
"370300-1 755 \n",
"380000-1 526 \n",
"\n",
" Presidential Electors REP Trump and Pence \\\n",
"010001-1 998 \n",
"010002-1 887 \n",
"020100-1 320 \n",
"020200-1 310 \n",
"020300-1 363 \n",
"... ... \n",
"360004-1 382 \n",
"370100-1 445 \n",
"370200-1 373 \n",
"370300-1 695 \n",
"380000-1 781 \n",
"\n",
" Presidential Electors LIB Jorgensen and Cohen \\\n",
"010001-1 17 \n",
"010002-1 16 \n",
"020100-1 7 \n",
"020200-1 9 \n",
"020300-1 11 \n",
"... ... \n",
"360004-1 12 \n",
"370100-1 20 \n",
"370200-1 13 \n",
"370300-1 26 \n",
"380000-1 15 \n",
"\n",
" Presidential Electors Write-In Totals \\\n",
"010001-1 2 \n",
"010002-1 3 \n",
"020100-1 2 \n",
"020200-1 0 \n",
"020300-1 1 \n",
"... ... \n",
"360004-1 2 \n",
"370100-1 4 \n",
"370200-1 2 \n",
"370300-1 1 \n",
"380000-1 1 \n",
"\n",
" Attorney General DEM Josh Shapiro \\\n",
"010001-1 636 \n",
"010002-1 796 \n",
"020100-1 250 \n",
"020200-1 222 \n",
"020300-1 254 \n",
"... ... \n",
"360004-1 284 \n",
"370100-1 619 \n",
"370200-1 513 \n",
"370300-1 755 \n",
"380000-1 511 \n",
"\n",
" Attorney General REP Heather Heidelbaugh ... \\\n",
"010001-1 927 ... \n",
"010002-1 822 ... \n",
"020100-1 298 ... \n",
"020200-1 268 ... \n",
"020300-1 327 ... \n",
"... ... ... \n",
"360004-1 362 ... \n",
"370100-1 388 ... \n",
"370200-1 337 ... \n",
"370300-1 600 ... \n",
"380000-1 726 ... \n",
"\n",
" PA State Treasurer Pct DEM PA State Treasurer Pct REP \\\n",
"010001-1 35.975976 56.816817 \n",
"010002-1 43.618267 48.887588 \n",
"020100-1 41.864407 51.186441 \n",
"020200-1 38.503650 50.364964 \n",
"020300-1 38.041734 53.611557 \n",
"... ... ... \n",
"360004-1 38.784370 52.966715 \n",
"370100-1 52.158273 37.050360 \n",
"370200-1 51.900109 37.785016 \n",
"370300-1 47.580645 42.607527 \n",
"380000-1 36.794582 55.831452 \n",
"\n",
" PA State Treasurer Pct LIB PA State Treasurer Pct GRE \\\n",
"010001-1 1.801802 1.321321 \n",
"010002-1 2.224824 1.170960 \n",
"020100-1 2.881356 1.355932 \n",
"020200-1 3.832117 1.277372 \n",
"020300-1 3.210273 0.642055 \n",
"... ... ... \n",
"360004-1 2.026049 1.302460 \n",
"370100-1 3.956835 2.158273 \n",
"370200-1 4.125950 1.628664 \n",
"370300-1 2.217742 1.948925 \n",
"380000-1 2.257336 0.902935 \n",
"\n",
" PA Representative in Congress 7th Congressional District Pct DEM \\\n",
"010001-1 37.837838 \n",
"010002-1 46.545667 \n",
"020100-1 43.898305 \n",
"020200-1 39.781022 \n",
"020300-1 39.325843 \n",
"... ... \n",
"360004-1 41.823444 \n",
"370100-1 56.025180 \n",
"370200-1 55.374593 \n",
"370300-1 50.806452 \n",
"380000-1 37.848006 \n",
"\n",
" PA Representative in Congress 7th Congressional District Pct REP \\\n",
"010001-1 59.759760 \n",
"010002-1 50.878220 \n",
"020100-1 54.237288 \n",
"020200-1 54.744526 \n",
"020300-1 57.784912 \n",
"... ... \n",
"360004-1 56.439942 \n",
"370100-1 40.017986 \n",
"370200-1 41.259501 \n",
"370300-1 45.362903 \n",
"380000-1 58.765989 \n",
"\n",
" County Total Votes Pct Ballots Cast Max Ballots Cast Min Ballots Cast \n",
"010001-1 170048.0 0.979135 3295.0 119.0 \n",
"010002-1 170048.0 1.004422 3295.0 119.0 \n",
"020100-1 170048.0 0.346961 3295.0 119.0 \n",
"020200-1 170048.0 0.322262 3295.0 119.0 \n",
"020300-1 170048.0 0.366367 3295.0 119.0 \n",
"... ... ... ... ... \n",
"360004-1 170048.0 0.406356 3295.0 119.0 \n",
"370100-1 170048.0 0.653933 3295.0 119.0 \n",
"370200-1 170048.0 0.541612 3295.0 119.0 \n",
"370300-1 170048.0 0.875047 3295.0 119.0 \n",
"380000-1 170048.0 0.781544 3295.0 119.0 \n",
"\n",
"[154 rows x 64 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Step 5\n",
"# Bring it into a dataframe and do some stats on it\n",
"import pandas as pd\n",
"df = pd.DataFrame(precinct_report_dict).T\n",
"\n",
"# Lets add in some ratios (They need to be changed to float to convert it back to JSON at some point)\n",
"\n",
"calculated_elections = {\n",
" 'Presidential Electors': {\n",
" 'dem': 'Presidential Electors DEM Biden and Harris',\n",
" 'rep': 'Presidential Electors REP Trump and Pence',\n",
" 'lib': 'Presidential Electors LIB Jorgensen and Cohen'\n",
" },\n",
" 'PA Attorney General': {\n",
" 'dem': \"Attorney General DEM Josh Shapiro\",\n",
" 'rep': \"Attorney General REP Heather Heidelbaugh\",\n",
" 'lib': \"Attorney General LIB Daniel Wassmer\",\n",
" 'gre': \"Attorney General GRE Richard L Weiss\"\n",
" },\n",
" 'PA Auditor General': {\n",
" 'dem': \"Auditor General DEM Nina Ahmad\",\n",
" 'rep': \"Auditor General REP Timothy Defoor\",\n",
" 'lib': \"Auditor General LIB Jennifer Moore\",\n",
" 'gre': \"Auditor General GRE Olivia Faison\"\n",
" },\n",
" 'PA State Treasurer': {\n",
" 'dem': \"State Treasurer DEM Joe Torsella\",\n",
" 'rep': \"State Treasurer REP Stacy L. Garrity\",\n",
" 'lib': \"State Treasurer LIB Joe Soloski\",\n",
" 'gre': \"State Treasurer GRE Timothy Runkle\"\n",
" },\n",
" 'PA Representative in Congress 7th Congressional District': {\n",
" 'dem': \"Representative in Congress 7th Congressional District DEM Susan Wild\",\n",
" 'rep': \"Representative in Congress 7th Congressional District REP Lisa Scheller\"\n",
" }\n",
"}\n",
"# Create the columns\n",
"for seat in calculated_elections:\n",
" for party in calculated_elections[seat]:\n",
" df[seat + ' Pct ' + party.upper()] = ((\n",
" pd.to_numeric(df[calculated_elections[seat][party]]) /\n",
" pd.to_numeric(df['STATISTICS Ballots Cast - Total'])) * 100).astype(float)\n",
"\n",
"# Let's add some extra fields to make it easy to style\n",
"df['County Total Votes'] = (pd.to_numeric(df['STATISTICS Ballots Cast - Total']).sum()).astype(float)\n",
"df['Pct Ballots Cast'] = ((\n",
" pd.to_numeric(df['STATISTICS Ballots Cast - Total']) /\n",
" df['County Total Votes']) * 100).astype(float)\n",
"df['Max Ballots Cast'] = (pd.to_numeric(df['STATISTICS Ballots Cast - Total']).max()).astype(float)\n",
"df['Min Ballots Cast'] = (pd.to_numeric(df['STATISTICS Ballots Cast - Total']).min()).astype(float)\n",
"df['STATISTICS Ballots Cast - Total'] = df['STATISTICS Ballots Cast - Total'].astype(float)\n",
"\n",
"print(\"Step 5 Done\")\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Step 6 Done\n"
]
}
],
"source": [
"# Step 6\n",
"# Join the GeoJSON data to the dataframe\n",
"\n",
"for feature in precincts_geojson[\"features\"]:\n",
" if feature[\"properties\"][\"PRECINCTID\"] in df.index:\n",
" feature[\"properties\"] = {\n",
" **feature[\"properties\"],\n",
" **dict(df.loc[feature[\"properties\"][\"PRECINCTID\"]])\n",
" }\n",
" \n",
"print(\"Step 6 Done\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Step 7 Done\n"
]
}
],
"source": [
"# Step 7\n",
"# Create a map\n",
"\n",
"# I'm going to use mapboxgljs, but I don't have an API key, so I will use CARTO tiles instead\n",
"\n",
"from IPython.core.display import display, HTML\n",
"from string import Template \n",
"\n",
"import uuid #the divs will use a unique UUID so that don't stomp on each other\n",
"\n",
"html = Template(\"\"\"\n",
"<link href='https://api.mapbox.com/mapbox-gl-js/v1.12.0/mapbox-gl.css' rel='stylesheet' />\n",
"<style>\n",
" #$map_div { width: 100%; height: 275px; }\n",
"</style>\n",
"\n",
"<div id=\"$map_div\"></div>\n",
"\n",
"<script>\n",
" window.loadmap = function() {\n",
"\n",
" require.config({\n",
" paths: {\n",
" \"mapboxgl\": \"https://api.mapbox.com/mapbox-gl-js/v1.12.0/mapbox-gl\"\n",
" }\n",
" });\n",
"\n",
" require([\"mapboxgl\"], function(mapboxgl) {\n",
" var map = new mapboxgl.Map({\n",
" container: '$map_div',\n",
" style: {\n",
" 'version': 8,\n",
" 'sources': {\n",
" 'raster-tiles': {\n",
" 'type': 'raster',\n",
" 'tiles': [\n",
" 'https://a.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://b.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://c.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://d.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png'\n",
" ],\n",
" 'tileSize': 256,\n",
" 'attribution': '© <a href=\"http://www.openstreetmap.org/copyright\" target=\"_blank\">OpenStreetMap</a> contributors, © <a href=\"https://carto.com/attributions\" target=\"_blank\">CARTO</a>'\n",
" }\n",
" },\n",
" 'layers': [\n",
" {\n",
" 'id': 'simple-tiles',\n",
" 'type': 'raster',\n",
" 'source': 'raster-tiles',\n",
" 'minzoom': 0,\n",
" 'maxzoom': 22\n",
" }\n",
" ]\n",
" },\n",
" center: [-75, 40.75],\n",
" zoom: 8.4\n",
" });\n",
"\n",
" map.on('load', function () {\n",
" map.addSource('$layer_name', {\n",
" 'type': 'geojson',\n",
" 'data': $geojson\n",
" });\n",
" map.addLayer({\n",
" 'id': 'precincts',\n",
" 'type': 'fill',\n",
" 'source': '$layer_name',\n",
" 'layout': {},\n",
" 'paint': $style\n",
" });\n",
" });\n",
" \n",
" $more_code\n",
" \n",
" });\n",
" };\n",
" loadmap();\n",
"</script>\n",
"\"\"\")\n",
"\n",
"print('Step 7 Done')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<link href='https://api.mapbox.com/mapbox-gl-js/v1.12.0/mapbox-gl.css' rel='stylesheet' />\n",
"<style>\n",
" #mapa1951f1f-d3d8-487b-b8b7-c0ea6d0954f5 { width: 100%; height: 275px; }\n",
"</style>\n",
"\n",
"<div id=\"mapa1951f1f-d3d8-487b-b8b7-c0ea6d0954f5\"></div>\n",
"\n",
"<script>\n",
" window.loadmap = function() {\n",
"\n",
" require.config({\n",
" paths: {\n",
" \"mapboxgl\": \"https://api.mapbox.com/mapbox-gl-js/v1.12.0/mapbox-gl\"\n",
" }\n",
" });\n",
"\n",
" require([\"mapboxgl\"], function(mapboxgl) {\n",
" var map = new mapboxgl.Map({\n",
" container: 'mapa1951f1f-d3d8-487b-b8b7-c0ea6d0954f5',\n",
" style: {\n",
" 'version': 8,\n",
" 'sources': {\n",
" 'raster-tiles': {\n",
" 'type': 'raster',\n",
" 'tiles': [\n",
" 'https://a.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://b.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://c.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png',\n",
" 'https://d.basemaps.cartocdn.com/rastertiles/light_all/{z}}/{x}/{y}.png'\n",
" ],\n",
" 'tileSize': 256,\n",
" 'attribution': '© <a href=\"http://www.openstreetmap.org/copyright\" target=\"_blank\">OpenStreetMap</a> contributors, © <a href=\"https://carto.com/attributions\" target=\"_blank\">CARTO</a>'\n",
" }\n",
" },\n",
" 'layers': [\n",
" {\n",
" 'id': 'simple-tiles',\n",
" 'type': 'raster',\n",
" 'source': 'raster-tiles',\n",
" 'minzoom': 0,\n",
" 'maxzoom': 22\n",
" }\n",
" ]\n",
" },\n",
" center: [-75, 40.75],\n",
" zoom: 8.4\n",
" });\n",
"\n",
" map.on('load', function () {\n",
" map.addSource('precincts', {\n",
" 'type': 'geojson',\n",
" 'data': {\"type\": \"FeatureCollection\", \"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"features\": [{\"type\": \"Feature\", \"properties\": {\"OBJECTID\": 405, \"PRECINCTID\": \"220300-1\", \"NAME\": \"NORTHAMPTON BOROUGH 3RD WARD\", \"COUNTY\": \"095\", \"REG_VOTERS\": null, \"PAStateSenate\": \"18th District\", \"PAStateHouse\": \"183rd District\", \"MDJ\": \"03-3-01\", \"CountyCouncil\": \"District 3\", \"USHOUSE\": \"7th District\", \"PollingPlace\": \"GRACE UNITED CHURCH OF CHRIST\", \"SiteAddress\": \"902 LINCOLN AVE\", \"City\": \"NORTHAMPTON\", \"STATISTICS Registered Voters - Total\": \"2819\", \"STATISTICS Ballots Cast - Total\": 2308.0, \"STATISTICS Ballots Cast - Blank\": \"0\", \"STATISTICS Voter Turnout - Total\": \"81.87%\", \"Presidential Electors DEM Biden and Harris\": \"1001\", \"Presidential Electors REP Trump and Pence\": \"1269\", \"Presidential Electors LIB Jorgensen and Cohen\": \"30\", \"Presidential Electors Write-In Totals\": \"4\", \"Attorney General DEM Josh Shapiro\": \"994\", \"Attorney General REP Heather Heidelbaugh\": \"1160\", \"Attorney General LIB Daniel Wassmer\": \"45\", \"Attorney General GRE Richard L Weiss\": \"19\", \"Attorney General Write-In Totals\": \"2\", \"Auditor General DEM Nina Ahmad\": \"908\", \"Auditor General REP Timothy Defoor\": \"1207\", \"Auditor General LIB Jennifer Moore\": \"66\", \"Auditor General GRE Olivia Faison\": \"22\", \"Auditor General Write-In Totals\": \"2\", \"State Treasurer DEM Joe Torsella\": \"970\", \"State Treasurer REP Stacy L. Garrity\": \"1174\", \"State Treasurer LIB Joe Soloski\": \"54\", \"State Treasurer GRE Timothy Runkle\": \"13\", \"State Treasurer Write-In Totals\": \"1\", \"Representative in Congress 7th Congressional District DEM Susan Wild\": \"981\", \"Representative in Congress 7th Congressional District REP Lisa Scheller\": \"1274\", \"Representative in Congress 7th Congressional District Write-In Totals\": \"2\", \"Representative in the General Assembly 183rd Legislative District DEM Jason Ruff\": \"902\", \"Representative in the General Assembly 183rd Legislative District REP Zach Mako\": \"1342\", \"Representative in the General Assembly 183rd Legislative District Write-In Totals\": \"3\", \"Representative in the General Assembly 137th Legislative District DEM Katelind Brennan\": NaN, \"Representative in the General Assembly 137th Legislative District REP Joe Emrick\": NaN, \"Representative in the General Assembly 137th Legislative District Write-In Totals\": NaN, \"Representative in the General Assembly 138th Legislative District DEM Tara Zrinski\": NaN, \"Representative in the General Assembly 138th Legislative District REP Ann Flood\": NaN, \"Representative in the General Assembly 138th Legislative District Write-In Totals\": NaN, \"Representative in the General Assembly 135th Legislative District DEM Steve Samuelson\": NaN, \"Representative in the General Assembly 135th Legislative District REP Scott J Hough\": NaN, \"Representative in the General Assembly 135th Legislative District Write-In Totals\": NaN, \"Representative in the General Assembly 136th Legislative District DEM Robert Freeman\": NaN, \"Representative in the General Assembly 136th Legislative District Write-In Totals\": NaN, \"Representative in the General Assembly 131st Legislative District DEM Kevin Branco\": NaN, \"Representative in the General Assembly 131st Legislative District REP Milou Mackenzie\": NaN, \"Representative in the General Assembly 131st Legislative District Write-In Totals\": NaN, \"Presidential Electors Pct DEM\": 43.370883882149045, \"Presidential Electors Pct REP\": 54.98266897746967, \"Presidential Electors Pct LIB\": 1.2998266897746966, \"PA Attorney General Pct DEM\": 43.06759098786828, \"PA Attorney General Pct REP\": 50.25996533795494, \"PA Attorney General Pct LIB\": 1.9497400346620448, \"PA Attorney General Pct GRE\": 0.8232235701906412, \"PA Auditor General Pct DEM\": 39.34142114384749, \"PA Auditor General Pct REP\": 52.296360485268636, \"PA Auditor General Pct LIB\": 2.859618717504333, \"PA Auditor General Pct GRE\": 0.9532062391681109, \"PA State Treasurer Pct DEM\": 42.02772963604853, \"PA State Treasurer Pct REP\": 50.86655112651647, \"PA State Treasurer Pct LIB\": 2.3396880415944543, \"PA State Treasurer Pct GRE\": 0.5632582322357019, \"PA Representative in Congress 7th Congressional District Pct DEM\": 42.50433275563258, \"PA Representative in Congress 7th Congressional District Pct REP\": 55.19930675909879, \"County Total Votes\": 170048.0, \"Pct Ballots Cast\": 1.3572638313887844, \"Max Ballots Cast\": 3295.0, \"Min Ballots Cast\": 119.0}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-75.4783960855644, 40.69282381049141], [-75.47733819876366, 40.69219376255843], [-75.47463018082298, 40.69058084699972], [-75.47456806710885, 40.69054592812538], [-75.47454699398028, 40.69053408217726], [-75.47437433427693, 40.690439740780555], [-75.4743754578947, 40.69040655697074], [-75.47439652238351, 40.68926244597091], [-75.474398074201, 40.68917816770089], [-75.47440054671266, 40.689043873935795], [-75.47441811968551, 40.688089365081524], [-75.47443495394445, 40.68717490459468], [-75.47443796885622, 40.68701112969146], [-75.47445605785381, 40.68602855489864], [-75.47447028825961, 40.68559901504643], [-75.4744967023685, 40.6848017359872], [-75.47452350814078, 40.683992624707805], [-75.47453820702798, 40.68354890649301], [-75.4745383256271, 40.683545333381026], [-75.47457998170054, 40.68228193781582], [-75.47462042134292, 40.681055373248704], [-75.47463926382804, 40.68048386332391], [-75.47463938123383, 40.680480290185955], [-75.47409391076248, 40.67849652377281], [-75.47360457640347, 40.67671680785578], [-75.47360190651169, 40.67666252650257], [-75.47355812102903, 40.676517770855675], [-75.47338235431852, 40.675877386526395], [-75.47331968851516, 40.675597974988904], [-75.4731963934461, 40.67487255729051], [-75.47314277518902, 40.67459869131719], [-75.47307802561448, 40.67426796438925], [-75.47294761135198, 40.674143418638295], [-75.47273067613152, 40.673215483003716], [-75.47229585594062, 40.671449805053804], [-75.47205679871308, 40.67047902090636], [-75.47216026405265, 40.67043468060664], [-75.47217238522177, 40.67042968570328], [-75.47222128030971, 40.67040953487113], [-75.4724144425815, 40.670329928826284], [-75.47258359439918, 40.670260058373294], [-75.4726380453661, 40.670235466320975], [-75.47321362605268, 40.66997550586843], [-75.47322356000836, 40.66997101922934], [-75.47364229291803, 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