Illinois-Presidential-Elections-2016.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  <center> Updating a FigureWidget while hovering over the points of another FigureWidget</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objs as go\n",
    "import ipywidgets as ipw\n",
    "import numpy as np\n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the geojson file that records geo and election data for Illinois state. This file is created  from the second  table listed here \n",
    "[https://www.nytimes.com/elections/results/illinois](https://www.nytimes.com/elections/results/illinois), and the topojson file\n",
    "[https://github.com/deldersveld/topojson/blob/master/countries/us-states/IL-17-illinois-counties.json](https://github.com/deldersveld/topojson/blob/master/countries/us-states/IL-17-illinois-counties.json) for Illinois counties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"illinois-election.geojson\") as json_file:#https://gist.github.com/empet/5e35f2aba6df23011c7192edfa97ca0a\n",
    "    jdata = json_file.read()\n",
    "    geoJSON = json.loads(jdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Clinton_Trump': [1789.0, 3785.0],\n",
       " 'center_lon_lat': [-89.34355051659558, 41.03517190637024],\n",
       " 'county_name': 'Marshall',\n",
       " 'party': 1}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geoJSON['features'][0]['properties']#party=1 if Trump nr votes > Clinton nr votes; party=0 otherwise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "votes_Clinton_Trump=[geo['properties']['Clinton_Trump'] for geo in geoJSON['features']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "pts=[]#list of points defining boundaries of county polygons\n",
    "for  feature in geoJSON['features']:\n",
    "    if feature['geometry']['type']=='Polygon':\n",
    "        pts.extend(feature['geometry']['coordinates'][0])    \n",
    "        pts.append([None, None])#mark the end of a polygon   \n",
    "        \n",
    "    elif feature['geometry']['type']=='MultiPolygon':\n",
    "        for polyg in feature['geometry']['coordinates']:\n",
    "            pts.extend(polyg[0])\n",
    "            pts.append([None, None])#end of polygon\n",
    "    else: raise ValueError(\"geometry type irrelevant for map\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "line_lons=[pt[0] for pt in pts]\n",
    "line_lats=[pt[1] for pt in pts]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sources=[]\n",
    "for feat in geoJSON['features']: \n",
    "        sources.append({\"type\": \"FeatureCollection\", 'features': [feat]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "lons=[]\n",
    "lats=[]\n",
    "color_vals=[]\n",
    "county_name=[]\n",
    "for geo in geoJSON['features']:\n",
    "    lons.append(geo['properties']['center_lon_lat'][0])\n",
    "    lats.append(geo['properties']['center_lon_lat'][1])\n",
    "    color_vals.append(int(geo['properties']['party']))\n",
    "    county_name.append(geo['properties']['county_name'])\n",
    "\n",
    "county_name=[name+' County' for name in county_name]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapbox_access_token = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "party_color=['rgba(97,117,193, 0.8)', 'rgba(176,18,44, 0.8)']#converted from '#6175c1' and '#B0122C'\n",
    "county_color=['#6175c1' if cval==0 else '#B0122C' for cval in color_vals]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "Illinois0 = dict(type='scattermapbox',#the scattermapbox of center points in each county\n",
    "             lat=lats, \n",
    "             lon=lons,\n",
    "             mode='markers',\n",
    "             text=county_name,\n",
    "             marker=dict(size=2, color='white'),\n",
    "             hoverinfo='text',\n",
    "             showlegend=False\n",
    "            )\n",
    "\n",
    "Illinois1 = dict(type='scattermapbox',#county boundaries\n",
    "             lat=line_lats, \n",
    "             lon=line_lons,\n",
    "             mode='lines',\n",
    "             line=dict(width=0.5, color='rgb(220,220,220)'),\n",
    "             hoverinfo='none',\n",
    "             showlegend=False    \n",
    "            )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "layers=[dict(sourcetype = 'geojson',#the county shapes colored according to the party that won there (0 dem, 1 rep)\n",
    "             source =sources[k],\n",
    "             below=\"water\", \n",
    "             type = 'fill',   \n",
    "             color = county_color[k],\n",
    "             opacity=0.8\n",
    "            ) for k in range(len(sources))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "layout = dict(title='Presidential Election in Illinois, 2016',\n",
    "              font=dict(family='Balto'),\n",
    "              autosize=False,\n",
    "              width=600,\n",
    "              height=700,\n",
    "              hovermode='closest',\n",
    "   \n",
    "              mapbox=dict(accesstoken=mapbox_access_token,\n",
    "                          layers=layers,\n",
    "                          bearing=0,\n",
    "                          center=dict(\n",
    "                          lat=lats[79], #Macon County center\n",
    "                          lon=lons[79]),\n",
    "                          pitch=0,\n",
    "                          zoom=5.61,\n",
    "                    ) \n",
    "              )\n",
    "\n",
    "fig = go.FigureWidget(data=[Illinois0, Illinois1], layout=layout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "FigureWidget({\n",
       "    'data': [{'hoverinfo': 'text',\n",
       "              'lat': [41.03517190637024, 39.27502107215389, …"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_bar_fig(y_vals, bar_colors, width=300, height=500, left=50, top=100, right=50, bottom=50):\n",
    "    #Defines the bar chart of (Clinton, Trump) vote numbers and returns the corresponding FigureWidget \n",
    "    \n",
    "    vote_bar = dict(type='bar',#The bar char pointing out the vote number for each candidate\n",
    "                    x=['Clinton', 'Trump'],\n",
    "                    y=y_vals,\n",
    "                    marker=dict(color=bar_colors),\n",
    "                    hoverinfo='y')\n",
    "    bar_layout = dict(title=county_name[0],\n",
    "                      width=width, height=height,\n",
    "                      font=dict(family='Balto'),\n",
    "                      xaxis=dict(showline=True, zeroline=False, showgrid=False, showticklabels=True),\n",
    "                      yaxis=dict(showline=False, gridcolor='white', ticklen=4),\n",
    "                      bargap=0.01,\n",
    "                      margin=dict(l=left, r=right, b=bottom, t=top),\n",
    "                      hovermode='x',\n",
    "                      plot_bgcolor='rgb(240,240,240)')\n",
    "    \n",
    "    return go.FigureWidget(data=[vote_bar], layout=bar_layout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hovering(fw, votes_Clinton_Trump, county_name, bar_colors, width_figd=300, height_figd=400, top_figd=100):\n",
    "    \n",
    "    fwd=get_bar_fig(votes_Clinton_Trump[0], bar_colors, width=width_figd, height=height_figd, top=top_figd)\n",
    "    \n",
    "    def trigger_update(trace, points, state):\n",
    "        ind = points.point_inds[0]#get the index of the scatter point  that is hovered on\n",
    "        \n",
    "        with fwd.batch_update():#update data and layout in the bar chart\n",
    "            fwd.data[0].y = votes_Clinton_Trump[ind]\n",
    "            fwd.layout.title = county_name[ind]\n",
    "            \n",
    "    \n",
    "    fw.data[0].on_hover(trigger_update)\n",
    "    return ipw.HBox([fw, fwd])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "dashboard=hovering(fig, votes_Clinton_Trump, county_name, party_color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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       "HBox(children=(FigureWidget({\n",
       "    'data': [{'hoverinfo': 'text',\n",
       "              'lat': [41.03517190637024, 39.2…"
      ]
     },
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    }
   ],
   "source": [
    "dashboard"
   ]
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         "text": [
          "Marshall County",
          "Cumberland County",
          "Douglas County",
          "Livingston County",
          "Bond County",
          "Stark County",
          "Macoupin County",
          "Richland County",
          "White County",
          "Clinton County",
          "Franklin County",
          "Grundy County",
          "Union County",
          "Carroll County",
          "Warren County",
          "Ogle County",
          "Iroquois County",
          "Putnam County",
          "Brown County",
          "Ford County",
          "McDonough County",
          "Pulaski County",
          "Kendall County",
          "LaSalle County",
          "Scott County",
          "Schuyler County",
          "Williamson County",
          "Henry County",
          "Jefferson County",
          "St. Clair County",
          "De Witt County",
          "Perry County",
          "Jo Daviess County",
          "Morgan County",
          "Knox County",
          "Lee County",
          "Madison County",
          "Saline County",
          "Will County",
          "Jersey County",
          "Moultrie County",
          "Coles County",
          "Menard County",
          "Randolph County",
          "Tazewell County",
          "Vermilion County",
          "DeKalb County",
          "Gallatin County",
          "Greene County",
          "Woodford County",
          "Jasper County",
          "Cass County",
          "Montgomery County",
          "Clay County",
          "Boone County",
          "Henderson County",
          "Effingham County",
          "Hamilton County",
          "Pike County",
          "Edwards County",
          "Peoria County",
          "Crawford County",
          "Massac County",
          "Alexander County",
          "Sangamon County",
          "Christian County",
          "Mercer County",
          "Jackson County",
          "Pope County",
          "Edgar County",
          "Calhoun County",
          "Fulton County",
          "Marion County",
          "Wayne County",
          "Cook County",
          "Adams County",
          "DuPage County",
          "Rock Island County",
          "Lawrence County",
          "Macon County",
          "Logan County",
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