title: Panda AssertionError columns passed, passed data had 2 columns
body: <p>I am working on Azure ML implementation on text analytics with NLTK, the following execution is throwing </p>
  
  <pre><code>AssertionError: 1 columns passed, passed data had 2 columns\r\nProcess returned with non-zero exit code 1
  </code></pre>
  
  <p>Below is the code </p>
  
  <pre><code># The script MUST include the following function,
  # which is the entry point for this module:
  # Param&lt;dataframe1&gt;: a pandas.DataFrame
  # Param&lt;dataframe2&gt;: a pandas.DataFrame
  def azureml_main(dataframe1 = None, dataframe2 = None):
      # import required packages
      import pandas as pd
      import nltk
      import numpy as np
      # tokenize the review text and store the word corpus
      word_dict = {}
      token_list = []
      nltk.download(info_or_id='punkt', download_dir='C:/users/client/nltk_data')
      nltk.download(info_or_id='maxent_treebank_pos_tagger', download_dir='C:/users/client/nltk_data')
      for text in dataframe1["tweet_text"]:
          tokens = nltk.word_tokenize(text.decode('utf8'))
          tagged = nltk.pos_tag(tokens)
  
  
        # convert feature vector to dataframe object
      dataframe_output = pd.DataFrame(tagged, columns=['Output'])
      return [dataframe_output]
  </code></pre>
  
  <p>Error is throwing here </p>
  
  <pre><code> dataframe_output = pd.DataFrame(tagged, columns=['Output'])
  </code></pre>
  
  <p>I suspect this to be the tagged data type passed to dataframe, can some one let me know the right approach to add this to dataframe.</p>