Created
June 5, 2017 16:43
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import re | |
import pandas as pd | |
from pandas import DataFrame | |
import random | |
import sys | |
from os import path | |
from PIL import Image | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from wordcloud import WordCloud, STOPWORDS | |
def wordcloud(): | |
X = pd.read_csv('data/result_1.csv') | |
texts = X['text'].values[-3000:] | |
join = '\n'.join(texts).lower() | |
join = re.sub('[^a-z0-9#]', ' ', join).replace('\s+',' ') | |
d = path.dirname(__file__) | |
text = join | |
mask = np.array(Image.open(path.join(d, "../data/mask.png"))) | |
stopwords = set(STOPWORDS) | |
stopwords.add('https') | |
stopwords.add('http') | |
stopwords.add('realdonaldtrump') | |
stopwords.add('co') | |
cmap = plt.cm.get_cmap('Dark2') | |
wc = WordCloud(background_color="white", max_words=250, mask=mask, | |
stopwords=stopwords, colormap=cmap) | |
# generate word cloud | |
wc.generate(text) | |
# store to file | |
wc.to_file(path.join(d, "wordcloud.png")) | |
# show | |
plt.imshow(wc, interpolation='bilinear') | |
plt.axis("off") | |
plt.figure() | |
plt.imshow(mask, cmap=cmap, interpolation='bilinear') | |
plt.axis("off") | |
plt.show() | |
if __name__ == '__main__': | |
wordcloud() |
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