flopscope.stats.expon.cdf

flopscope.stats.expon.cdf(x, loc=0, scale=1)[flopscope source]

Evaluate the cumulative distribution function.

Parameters

x:array_like: Points at which to evaluate the cumulative probability.
loc:float, optional: Location parameter that shifts the support. Defaults to 0.
scale:float, optional: Scale parameter of the distribution. Defaults to 1.

Returns

:FlopscopeArray: Cumulative probability evaluated elementwise at x.

Notes

Equivalent to scipy.stats.expon.cdf(x, loc, scale). FLOP cost: 1 * numel(x).

Examples

>>> import flopscope.numpy as fnp
>>> import flopscope as flops
>>> x = flops.array([0.0, 1.0, 2.0])
>>> flops.round(flops.stats.expon.cdf(x), 3)
array([0.   , 0.632, 0.865])