distfit’s documentation!

distfit is a python package for probability density fitting of univariate distributions on non-censored data. With the Residual Sum of Squares (RSS) we determine the best fit across 89 theoretical distributions for which the best fitted theoretical distribution is returned with the loc, scale, arg parameters. The probability of new data-points can then be assed for significance.

Tip

distfit vs. fitdist The fitdist library is directly build on the distfit library so there are no changes between the two except for naming. If you desire to use the fitdist library thats great! Just change all the examples in this documentation into fitdist. Thats it. Have fun!

Content

Background

Generate samples

Save and Load

Quick install

pip install distfit

Source code and issue tracker

Github distfit. Please report bugs, issues and feature extensions there.

Citing distfit

The bibtex can be found in the right side menu at the github page.

Indices and tables