API Feature Requests (v.0.0.3)

[HHammond]

• set_font
• set_background - change cell background colours
• set_alternating - apply alternating even-odd colours
• set_hover - apply hover effects
• set_cell_height - set minimum cell height
• set_cell_width - set minimum cell width
• describe - add stats similar to DataFrame.describe()

[alimanfoo]

+1 for setting cell background color based on value. I'm sure you've thought of these already, but some use cases: (1) set colour based on mapping from (categorical) values to colours; (2) set colour using colour map, with user able to provide vmin, vmax, cmap and possibly normalize arguments to control value to colour transformation; (3) set colour using threshold on value, eg, red if > 5. Would be amazing if prettypandas could support these!

[HHammond]

There already is colour-map support and min, max background support in the Pandas API http://pandas.pydata.org/pandas-docs/stable/style.html#Building-Styles. They have some neat functionality implemented. Since PrettyPandas subclasses pandas.core.Styler we get all that stuff for free.

I do think if a negative value colour indicator isn't built into pandas core then it definitely belongs here.

[HHammond]

Also I think I should include those examples in the documentation so that people are aware

[alimanfoo]

Wow, I didn't know about that, perfect! Good idea to include an example in
prettypandas docs.

On Thursday, 21 January 2016, Henry Hammond [email protected]
wrote:

There already is colour-map support and min, max background support in the
Pandas API
http://pandas.pydata.org/pandas-docs/stable/style.html#Building-Styles.
They have some neat functionality implemented. Since PrettyPandas
subclasses pandas.core.Styler we get all that stuff for free.

I do think if a negative value colour indicator isn't built into pandas
core then it definitely belongs here.

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Alistair Miles
Head of Epidemiological Informatics
Centre for Genomics and Global Health http://cggh.org
The Wellcome Trust Centre for Human Genetics
Roosevelt Drive
Oxford
OX3 7BN
United Kingdom
Web: http://purl.org/net/aliman
Email: [email protected] [email protected]
Tel: +44 (0)1865 287721

[pybokeh]

Please consider using axis='columns', axis='index' instead of axis=0, axis=1 to win over people who don't have numpy background. Pandas api supports this as well. See:

pandas-dev/pandas#9658