title: Why is the Series in the pandas DataFrame giving NaN?
body: <p>Trying to create a dataframe in Python pandas. </p>
  
  <pre><code>data = {
          'Date_Range': pd.date_range('20130101', periods=6), 
          'Series': pd.Series(data=["start", 2, 5.6, pd.datetime( 2020, 1, 31), True, "last"]),
          'Int_Array': np.array([3, 7, 5, 2, 8, 1], dtype='int32'),
          'Name': pd.Categorical(["John", "Kurt", "Carl", "Mary", "Alfred", "Tom"]),
          'Constant': 'foobar'
  }
  
  df = pd.DataFrame(data, index=data["Date_Range"])
  # df = pd.DataFrame(data)
  
  print(df)
  </code></pre>
  
  <p>When I add the index, then the Series gives Nan, but without the index, there is no problem. Why is this happening?</p>
  
  <pre><code>           Date_Range Series  Int_Array    Name Constant
  2013-01-01 2013-01-01    NaN          3    John   foobar
  2013-01-02 2013-01-02    NaN          7    Kurt   foobar
  2013-01-03 2013-01-03    NaN          5    Carl   foobar
  2013-01-04 2013-01-04    NaN          2    Mary   foobar
  2013-01-05 2013-01-05    NaN          8  Alfred   foobar
  2013-01-06 2013-01-06    NaN          1     Tom   foobar
  </code></pre>