scikitplot.externals

External, bundled dependencies.

User guide. See the Externals (experimental) section for further details.

Real probability scales for matplotlib.

Real probability scales for matplotlib.

User guide. See the Probability Plots (experimental) section for further details.

_probscale.ProbScale	A probability scale for matplotlib Axes.
_probscale.probplot	Probability, percentile, and quantile plots.
_probscale.plot_pos	Compute the plotting positions for a dataset.
_probscale.fit_line	Fits a line to x-y data in various forms (linear, log, prob scales).

Seaborn.

seaborn: statistical data visualization

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Documentation is available in the docstrings and online at https://seaborn.pydata.org/.

User guide. See the Seaborn (experimental) section for further details.

Matplotlib Sphinxext.

sphinxext.

References

[1]

matplotlib/matplotlib

Tweedie Family.

Tweedie Distribution Module

This module implements the Tweedie distribution, a member of the exponential dispersion model (EDM) family, using SciPy’s rv_continuous class.

It is especially useful for modeling claim amounts in the insurance industry, where data often exhibit a mixture of zeroes and positive continuous values.

The primary focus of this package is the compound-Poisson behavior of the Tweedie distribution, particularly in the range 1 < p < 2. However, it supports calculations for all valid values of the shape parameter p.

User guide. See the Tweedie Family section for further details.