title: Plotly date formatting issue for pandas dataframe
body: <p>I am using the Plotly python API to upload a pandas dataframe that contains a date column (which is generated via pandas <code>date_range</code> function). </p>
  
  <p>If I look at the pandas dataframe locally the date formatting is as I'd expect, i.e YYYY-MM-DD. However, when I view it in Plotly I see it in the form YYYY-MM-DD HH:MM:SS. I really don't need this level of precision and also having such a wide column results in formatting issues when I try to fit all the other columns that I want in.  </p>
  
  <p>Is there a way to prevent Plotly from re-formatting the pandas dataframe?</p>
  
  <p>A basic example of my current approach looks like:</p>
  
  <pre><code>import plotly.plotly as py
  from plotly.tools import FigureFactory as FF
  import pandas as pd
  
  dates = pd.date_range('2016-01-01', '2016-02-01', freq='D')
  df = pd.DataFrame(dates)
  
  table = FF.create_table(df)
  py.plot(table, filename='example table')
  </code></pre>