title: How to convert a tokenized dataframe to string to generate a wordcloud
body: <p>So I'm reading an excel file to a dataframe and then normalizing it ( lowercase, stopwords..etc)</p>
  
  <p>Now my dataframe has multiple columns from the excel file but only the ones I needed and it looks something like below. I had to tokenize it.</p>
  
  <p>df['col1']</p>
  
  <pre><code>0 [this, is , fun, interesting]
  1 [this, is, fun, too]
  2 [ even, more, fun]
  </code></pre>
  
  <p>I have more similar columns like df['col2'] and so on.</p>
  
  <p>Now I want to generate a word cloud </p>
  
  <pre><code>from wordcloud import WordCloud
  text = WordCloud().generate(df['col'])
  plt.imshow(text)
  plt.axis("off")
  plt.show()
  </code></pre>
  
  <p>I'm trying to generate a wordcloud but this isn't working since apparently word cloud expects a string. How do I convert my entire dataframe to string?</p>
  
  <p>I want to convert entire dataframe to string and then generate a wordcloud but if that's not possible then atleast a wordcloud per column would be nice.</p>