ProbScale

class scikitplot.probscale.ProbScale(axis, **kwargs)

A probability scale for matplotlib Axes.

Parameters:

axisa matplotlib axis artist

The axis whose scale will be set.

distscipy.stats probability distribution, optional

The distribution whose ppf/cdf methods should be used to compute the tick positions. By default, a minimal implementation of the scipy.stats.norm class is used so that scipy is not a requirement.

Examples

The most basic use:

>>> import scikitplot.probscale  # nothing else needed
>>> from matplotlib import pyplot
>>> fig, ax = pyplot.subplots(figsize=(4, 7))
>>> ax.set_ylim(bottom=0.5, top=99.5)
>>> ax.set_yscale('prob')

(Source code, png)

get_transform()

Return a Transform instance appropriate for the given logarithm base.

limit_range_for_scale(vmin, vmax, minpos)

Limit the domain to positive values.

name = 'prob'

set_default_locators_and_formatters(axis)

Set the locators and formatters to specialized versions for log scaling.