SELECT  ?subj ?subjLabel ?subjDescription ?date WHERE {
  ?subj wdt:P31 wd:Q5.
  ?subj wdt:P27 wd:Q142.
  ?subj wdt:P106 ?occupation.
  ?subj wdt:P570 ?date.
  FILTER (YEAR(?date) = 2016)
  SERVICE wikibase:label { bd:serviceParam wikibase:language "fr". }
}
ORDER BY ?date
LIMIT 1000

#!/usr/bin/env python
"""
Masked wordcloud
================
Using a mask you can generate wordclouds in arbitrary shapes.
"""

from os import path
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import random

from wordcloud import WordCloud, STOPWORDS

def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
        return "hsl(0,0%,100%)"
d = path.dirname(__file__)

# Read the whole text.
text = open(path.join(d, 'wordcloud.txt')).read()

# read the mask image
# taken from
# http://www.stencilry.org/stencils/movies/alice%20in%20wonderland/255fk.jpg
alice_mask = np.array(Image.open(path.join(d, "PhotoInitiale.jpg")))

stopwords = set(STOPWORDS)
stopwords.add("said")

wc = WordCloud(background_color="black", max_words=6000, mask=alice_mask,
               stopwords=stopwords,max_font_size=11,prefer_horizontal=1,margin=1)
# generate word cloud
wc.generate(text)

# store default colored image
wc.recolor(color_func=grey_color_func, random_state=3)
wc.to_file(path.join(d, "PhotoFinale.jpg"))