Make tidy DataFrames from messy fit/model results.
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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.
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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 |
