Metadata-Version: 2.0
Name: pybroom
Version: 0.1rc1
Summary: Make tidy DataFrames from messy fit/model results.
Home-page: https://github.com/tritemio/pybroom
Author: Antonino Ingargiola
Author-email: tritemio@gmail.com
License: MIT
Download-URL: https://github.com/tritemio/pybroom
Keywords: dataframe tidy-data long-form model fitting
Platform: Windows
Platform: Linux
Platform: Mac OS X
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: lmfit
Requires-Dist: pandas
Requires-Dist: setuptools


pybroom
=======

Pybroom converts fitting results objects into
`Pandas <http://pandas.pydata.org/`__
`DataFrame <http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe>`__
in tidy format
`(Wickham 2014) `<http://dx.doi.org/10.18637/jss.v059.i10>`__.

The tidy format creates an uniform interface to fit results and allows to
cleanly combine results from different fits (e.g. comparison of different
models, comparison of different datasets, etc.). Moreover, tidy DataFrames
can be easily and systematically plotted with
`seaborn <https://web.stanford.edu/~mwaskom/software/seaborn/>`__
(and, increasingly,
`matplotlib <http://matplotlib.org/>`__).


