Make tidy DataFrames from messy fit/model results.
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.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| 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 |
