statsmodels.distributions.empirical_distribution.StepFunction¶
- class statsmodels.distributions.empirical_distribution.StepFunction(x, y, ival=0.0, sorted=False, side='left')[source]¶
A basic step function.
Values at the ends are handled in the simplest way possible: everything to the left of x[0] is set to ival; everything to the right of x[-1] is set to y[-1].
- Parameters:
- xarray_like
- yarray_like
- ival
float
ival is the value given to the values to the left of x[0]. Default is 0.
- sortedbool
Default is False.
- side{‘left’, ‘right’},
optional
Default is ‘left’. Defines the shape of the intervals constituting the steps. ‘right’ correspond to [a, b) intervals and ‘left’ to (a, b].
Examples
>>> import numpy as np >>> from statsmodels.distributions.empirical_distribution import StepFunction >>> >>> x = np.arange(20) >>> y = np.arange(20) >>> f = StepFunction(x, y) >>> >>> print(f(3.2)) 3.0 >>> print(f([[3.2,4.5],[24,-3.1]])) [[ 3. 4.] [ 19. 0.]] >>> f2 = StepFunction(x, y, side='right') >>> >>> print(f(3.0)) 2.0 >>> print(f2(3.0)) 3.0
Methods
__call__
(time)Call self as a function.
Methods