Create wordcloud from dictionary values

Question

I just wrote a script that extracts all the spoken text in the Dutch Parlement of a few thousand XML files. For every speaker it count the amount of times a speaker said some words.

After doing this I calculated the TF * IDF value of every word for each speaker in the Dutch Parlement. If you are not familiar with this see this link: TF IDF explanation

So now I have a dictionary for each speaker in the Dutch Parlement where the keys are the words he said and the values are the corresponding TF*IDF values:

{u'asielzoekers': 0.0034861170591325486,
 u'belastingverlaging': 0.0018551991553514675,
 u'buma': 0.0020712555982839408,
 u'islam': 0.0029519544163739155,
 u'moslims': 0.0027958002747301355,
 u'ouderen': 0.0022803123245457566,
 u'pechtold': 0.0021525864470786928,
 u'president': 0.003281844532743345,
 u'rutte': 0.0023488684001475584,
 u'samsom': 0.0019304632325980841} 

Right now I want to create a wordcloud from these values. I have shortly looked into the wordcloud module written by amueller But for as far as I can see this module is not working with a dictionary but just plain text.

So any help on how to create a wordcloud from a dictionary's values would be highly appreciated.

Thanks in advance!

Answer 1

import matplotlib.pyplot as plt
from wordcloud import WordCloud

word_could_dict = {'Git':100, 'GitHub':100, 'push':50, 'pull':10, 'commit':80, 'add':30, 'diff':10, 
                  'mv':5, 'log':8, 'branch':30, 'checkout':25}

wordcloud = WordCloud(width = 1000, height = 500).generate_from_frequencies(word_could_dict)

plt.figure(figsize=(15,8))
plt.imshow(wordcloud)

And we get:

Answer 2

dictionary= {u'asielzoekers': 0.0034861170591325486,.. u'samsom': 0.0019304632325980841} 


from PIL import Image
import matplotlib.pyplot as plt
from wordcloud import WordCloud

wc = WordCloud(background_color="white",width=1000,height=1000, max_words=10,relative_scaling=0.5,normalize_plurals=False).generate_from_frequencies(dictionary)
plt.imshow(wc)