title: POS Tagging in Dataframe pandas-Textblog
body: <p>I am trying to perform POS tagging to my text which are present in the dataframe. I tried using TextBlob, but I am not getting the desired result. My desired result is "a new column should be created with all the taggings".
  Eg:"I like stackoverflow" and my new column POS_tagged should have [('I', 'PRP'), ('like', 'VBP'), ('stackoverflow', 'JJ')]</p>
  
  <p>I tried using Textblob but it is working for one sentence. It is not working for series of sentences.</p>
  
  <pre><code>def postag(sentence1):
  blob=TextBlob(sentence1)
  return blob.tags
  
  aspect_new["POS"]=aspect_new['tweets'].apply(postag)
  </code></pre>
  
  <p>I am getting below error</p>
  
  <pre><code>TypeError: The `text` argument passed to `__init__(text)` must be a string, not &lt;class 'float'&gt;
  </code></pre>
  
  <p>Could you please help me in achieving the same in textblob?</p>