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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.

Release History

Release History

This version
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0.2

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0.2rc1

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0.1

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0.1rc2

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0.1rc1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pybroom-0.2-py3-none-any.whl (9.2 kB) Copy SHA256 Checksum SHA256 py3 Wheel Aug 28, 2016
pybroom-0.2.tar.gz (9.5 kB) Copy SHA256 Checksum SHA256 Source Aug 28, 2016

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