pybroom
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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Release files for pybroom 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybroom-0.2.tar.gz | 9.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pybroom-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.7 kB
Release files / pybroom-0.2.tar.gz
| Download URL | pybroom-0.2.tar.gz |
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| Size | 9.5 kB |
| Tags | Source |
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Release files / pybroom-0.2-py3-none-any.whl
| Download URL | pybroom-0.2-py3-none-any.whl |
|---|---|
| Size | 9.2 kB |
| Tags | Python 3 |
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