flopscope.stats.lognorm.ppf

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

Evaluate the percent-point function.

Parameters

q:array_like: Probabilities in [0, 1].
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: Quantiles corresponding to q.

Notes

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

Examples

>>> import flopscope.numpy as fnp
>>> import flopscope as flops
>>> q = flops.array([0.25, 0.5, 0.75])
>>> flops.round(flops.stats.lognorm.ppf(q, s=0.5), 3)
array([0.714, 1.   , 1.401])