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Make tidy DataFrames from messy fit/model results.

Project description

Pybroom is a small python 3+ library for converting collections of fit results (curve fitting or other optimizations) to Pandas DataFrame in tidy format (or long-form) (Wickham 2014). Once fit results are in tidy DataFrames, it is possible to leverage common patterns for tidy data analysis. Furthermore powerful visual explorations using multi-facet plots becomes easy thanks to libraries like seaborn natively supporting tidy DataFrames.

See the pybroom homepage for more info.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
pybroom-0.2-py3-none-any.whl (9.2 kB) Copy SHA256 hash SHA256 Wheel py3 Aug 28, 2016
pybroom-0.2.tar.gz (9.5 kB) Copy SHA256 hash SHA256 Source None Aug 28, 2016

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