Skip to main content

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.

Project details


Release history Release notifications

This version
History Node

0.2

History Node

0.2rc1

History Node

0.1

History Node

0.1rc2

History Node

0.1rc1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
pybroom-0.2-py3-none-any.whl (9.2 kB) Copy SHA256 hash SHA256 Wheel py3 Aug 28, 2016
pybroom-0.2.tar.gz (9.5 kB) Copy SHA256 hash SHA256 Source None Aug 28, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page