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 py.iplot() when working in a Jupyter Notebook to display the plot in the notebook.
 py.plot() to return the unique url and optionally open the url
 
 https://plot.ly/python/file-options/
 Updating old graphs and folder locations
 
 https://plot.ly/python/getting-started/
 offline plots 
 
 Cheat sheet
 https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf