see https://github.com/pydata/pandas/pull/5550#issuecomment-28931094
related #6062
Comment From: TomAugspurger
Let's keep an eye on https://github.com/jupyter/notebook/issues/1182 and maybe close in favor of that?
Comment From: TomAugspurger
xref: https://github.com/jupyter/jupyterlab/pull/910 and specifically https://github.com/jupyter/jupyterlab/pull/910#issuecomment-248297851
Summary: Jupyter is taking care of a bunch of aesthetic issues in Jupyterlab. There are a few data-related items we can fix:
Ideally NaN would get styled slightly differently. That's particularly important for string column so you can distinguish missing values from the equivalent text.
Can add an extra class to NaN (maybe color, bold, or italicize?). Right now the HTML repr of 'NaN' the string literal and np.nan are identical
The fertility column has varying decimal places
This is python's string repr truncating 7.00 to just 7. I think we have another issue about that, will dig it up.
For columns like pop [large integer] you might want to consider adding commas every 3 digits.
This breaks copy-pastability, but thats pretty fragile, and we have df.to_clipboard() anyway.
Comment From: datapythonista
Not sure in which exact Jupyter version the DataFrame is not "ugly" anymore, but now it's rendered as a table. Closing.