flopscope.stats.lognorm.pdf

flopscope.stats.lognorm.pdf(x, s, loc=0, scale=1)[flopscope source]

Evaluate the probability density function.

Parameters

x:array_like: Points at which to evaluate the density.
s:float: Shape parameter of the distribution.
loc:float, optional: Location parameter. Defaults to 0.
scale:float, optional: Scale parameter. Defaults to 1.

Returns

:FlopscopeArray: Probability density evaluated elementwise at x.

Notes

Equivalent to scipy.stats.lognorm.pdf(x, s, loc, scale). FLOP cost: 1 * numel(x).

Examples

>>> import flopscope.numpy as fnp
>>> import flopscope as flops
>>> x = flops.array([0.5, 1.0, 2.0])
>>> flops.round(flops.stats.lognorm.pdf(x, s=0.5), 3)
array([0.61 , 0.798, 0.153])