flopscope.stats.uniform.pdf
flopscope.stats.uniform.pdf(x, loc=0, scale=1)[flopscope source]
Evaluate the probability density function.
Parameters
- x:array_like
Points at which to evaluate the density.
- loc:float, optional
Lower bound of the support. Defaults to
0.- scale:float, optional
Width of the support interval. Defaults to
1.
Returns
- :FlopscopeArray
Probability density evaluated elementwise at
x.
Notes
Equivalent to scipy.stats.uniform.pdf(x, loc, scale).
FLOP cost: 1 * numel(x).
Examples
>>> import flopscope.numpy as fnp
>>> import flopscope as flops
>>> x = flops.array([-0.5, 0.5, 1.5])
>>> flops.round(flops.stats.uniform.pdf(x), 3)
array([0., 1., 0.])