statsmodels.distributions.empirical_distribution.StepFunction
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class statsmodels.distributions.empirical_distribution.StepFunction(x, y, ival=0.0, sorted=False, side='left')
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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: x : array-like
y : array-like
ival : float
ival is the value given to the values to the left of x[0]. Default is 0.
sorted : bool
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
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