title: How to create a wordcloud according to frequencies in a pandas dataframe
body: <p>I have to plot a wordcloud. 'tweets.csv' is a Pandas dataframe which has a column named 'text'. The plotted graph hasn't been based on the most common words, tough. How can the words sizes be linked to their frequencies in dataframe?</p>
  <pre><code>text = df_final.text.values
  wordcloud = WordCloud(
      #mask = logomask,
      max_words = 1000,
      width = 600,
      height = 400,
      #max_font_size = 1000,
      #min_font_size = 100,
      normalize_plurals = True,
      #scale = 5,
      #relative_scaling = 0,
      background_color = 'black',
      stopwords = STOPWORDS.union(stopwords)
  ).generate(str(text))
  fig = plt.figure(
      figsize = (50,40),
      facecolor = 'k',
      edgecolor = 'k')
  plt.imshow(wordcloud, interpolation = 'bilinear')
  plt.axis('off')
  plt.tight_layout(pad=0)
  plt.show()
  </code></pre>
  <p>My dataframe looks like this:</p>
  <pre><code>0   RT @Pontifex_pt: Temos que descobrir as riquezezas ...
  1   RT @Pontifex_pt: Todos estamos em viagem rumo ...
  2   RT @Pontifex_pt: Unamos as forças, em todos ...
  3   RT @GeneralMourao: #Segurançapública, preocupa ...
  4   RT @FIFAcom: The Brasileirao U-17 final provided ...
  </code></pre>
  <p><img src="https://i.stack.imgur.com/HNSFf.png" alt="link to the image" /></p>