French elections results with d3-composite-projections by rveciana

2017 french presidential elections results

The map shows the first and second round results for the presidential elections in france. When the mouse pointer is over a department, the results for it appear in a tooltip. At the moment of the creation, only the first round was done, and the second round data will be added this Sunday after the results are published.

The map is created using the geoConicConformalFrance projection of the d3-composite-projections library.

Creating the TopoJSON file with all the French territoires

Downloaded the data from Natural Earth(countries file) and run:

ogr2ogr -where "adm0_a3 = 'FRA' OR adm0_a3 = 'SPM' OR adm0_a3 = 'BLM' OR adm0_a3 = 'PYF' OR adm0_a3 = 'NCL' OR adm0_a3 = 'WLF'" france.shp ne_10m_admin_1_states_provinces.shp

shp2json france.shp > /tmp/france/france.geojson

geo2topo france.geojson > france.json

If you want a lighter file, run:

toposimplify -p 0.001 -f < france.json  > france_simplidfied.json

###Edit names and regions:

The output file has some errors and different names that make the results file not matching all the departments:

Guyane française --> Guyane
Saint Berthélemy --> Saint-Martin/Saint-Barthélemy   ->>Some problems utf8 edit the json
Haute-Rhin --> Haut-Rhin
Seien-et-Marne --> Seine-et-Marne
Meurhe-et-Moselle --> Meurthe-et-Moselle

Merge Saint-Pierre-et-Miquelon
Wallis-et-Futuna
Nouvelle Calédonie
Polynésie française

etc.

Getting the elections result

The results are downloaded from the French Wikipedia:

https://fr.wikipedia.org/wiki/R%C3%A9sultats_par_d%C3%A9partement_de_l%27%C3%A9lection_pr%C3%A9sidentielle_fran%C3%A7aise_de_2017

The script extract.py uses BeautifulSoup to transform the wikipedia tables into a nice json file readable by d3. It’s written in python 2.7

extract.py

# -*- coding: utf-8 -*-
import urllib
import urllib2
from bs4 import BeautifulSoup
import re
import json

remove_chars = re.compile(r'[^\d.]+')

results = {}

url = "https://fr.wikipedia.org/wiki/R%C3%A9sultats_par_d%C3%A9partement_de_l%27%C3%A9lection_pr%C3%A9sidentielle_fran%C3%A7aise_de_2017"
response = urllib2.urlopen(url)
html = response.read()
soup = BeautifulSoup(html)

for lel in soup.select("a"):
    if lel.text in [u"Marine Le Pen",
        u"Emmanuel Macron",
        u"François Fillon",
        u"Jean-Luc Mélenchon",
        u"Nicolas Dupont-Aignan",
        u"Benoît Hamon",
        u"François Asselineau",
        u"Jean Lassalle",
        u"Philippe Poutou",
        u"Nathalie Arthaud",
        u"Jacques Cheminade"]:


        depart = lel.find_previous('span', attrs={"class": "mw-headline"}).text.encode('utf-8')
        td1=lel.find_next("td")
        td2=td1.find_next("td")
        td3=td2.find_next("td")
        if td3 is not None:
            td4=td3.find_next("td")
        else:
            td4=td3

        result1 = remove_chars.sub('', td1.text)
        result2 = td2.text.replace(",",".")

        if hasattr(td4, 'text') and hasattr(td3, 'text'):
            result3 = remove_chars.sub('', td3.text)
            result4 = td4.text.replace(",",".")
            try:
                result3 = float(result3)
            except ValueError:
                result3 = 0
            try:
                result4 = float(result4)
            except ValueError:
                result4 = 0
        else:
            result3 = 0
            result4 = 0

        if not depart in results:
            results[depart] = {}
        results[depart][lel.text] = {"votes": result1, "percent": result2, "votes2": result3, "percent2": result4}
        #print(depart, lel.text, "->", result1,",",result2, ",", result3,",",result4)

out_string = json.dumps(results).decode('unicode-escape').encode('utf8')

with open('results.json', 'w') as outfile:
    outfile.write(out_string)