chessboard.api.vis.ECDF

class chessboard.api.vis.ECDF(x, side='right')

Return the Empirical CDF of an array as a step function.

Parameters

• x (array_like) – Observations

• side ({'left', 'right'}, optional) – Default is ‘right’. Defines the shape of the intervals constituting the steps. ‘right’ correspond to [a, b) intervals and ‘left’ to (a, b].

Return type

Empirical CDF as a step function.

Examples

>>> import numpy as np
>>> from statsmodels.distributions.empirical_distribution import ECDF
>>>
>>> ecdf = ECDF([3, 3, 1, 4])
>>>
>>> ecdf([3, 55, 0.5, 1.5])
array([ 0.75,  1.  ,  0.  ,  0.25])

__init__(x, side='right')

Methods

__init__(x[, side])