notebook.community

Edit and run



In [115]:

    
import re
from wordcloud import WordCloud
%pylab inline









    



Populating the interactive namespace from numpy and matplotlib

source https://en.wikipedia.org/wiki/List_of_optimization_software



In [20]:

    
with open('software-list.txt','r') as f:
    data = f.read()



In [50]:

    
match = re.compile(r'\n([^\t^\n.]+)(\t|\s\–|\s\—)')



In [92]:

    
words = [ w[0].replace(' ','_') for w in match.findall(data)[1:] ]



In [123]:

    
words = dict([ (w[0],1) for w in match.findall(data)[1:] ])
words['GLPK'] = 50
words['CPLEX'] = 30
words['Gurobi'] =20
words['']



In [124]:

    
wordcloud = WordCloud(max_font_size=80, height=400, width=800, max_words=100).generate_from_frequencies(words)
figure(figsize=(16,9))
imshow(wordcloud, interpolation="bilinear")
axis("off")
show()



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