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.
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| Filename, size pybroom-0.2.tar.gz (9.5 kB) | File type Source | Python version None | Upload date | Hashes View |
| Filename, size pybroom-0.2-py3-none-any.whl (9.2 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |