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pybroom

Make tidy DataFrames from messy fit/model results.

0.2
pipPyPI
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pybroom

Pybroom is a small python 3+ library for converting collections of fit results (curve fitting or other optimizations) to Pandas <http://pandas.pydata.org/>__ DataFrame <http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe>__ in tidy format (or long-form) (Wickham 2014) <http://dx.doi.org/10.18637/jss.v059.i10>. Once fit results are in tidy DataFrames, it is possible to leverage common patterns <http://tomaugspurger.github.io/modern-5-tidy.html> for tidy data analysis. Furthermore powerful visual explorations using multi-facet plots becomes easy thanks to libraries like seaborn <https://pypi.python.org/pypi/seaborn/>__ natively supporting tidy DataFrames.

See the pybroom homepage <http://pybroom.readthedocs.io/>__ for more info.

Keywords

dataframe tidy-data long-form model fitting tidyverse

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