statsmodels.distributions.empirical_distribution.ECDF¶
-
class statsmodels.distributions.empirical_distribution.ECDF(x, side=
'right'
)[source]¶ Return the Empirical CDF of an array as a step function.
- Parameters:¶
- xarray_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].
Methods
__call__
(time)Call self as a function.
- Returns:¶
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])
Methods
Last update:
Oct 03, 2024