InverseCDFSampler#

class gammapy.utils.random.InverseCDFSampler[source]#

Bases: object

Inverse CDF sampler.

It determines a set of random numbers and calculate the cumulative distribution function.

Parameters:
pdfMap

Map of the predicted source counts.

axisint

Axis along which sampling the indexes.

random_state{int, ‘random-seed’, ‘global-rng’, RandomState}

Defines random number generator initialisation. Passed to get_random_state.

Methods Summary

sample(size)

Draw sample from the given PDF.

sample_axis()

Sample along a given axis.

Methods Documentation

sample(size)[source]#

Draw sample from the given PDF.

Parameters:
sizeint

Number of samples to draw.

Returns:
indextuple of ndarray

Coordinates of the drawn sample.

sample_axis()[source]#

Sample along a given axis.

Returns:
indextuple of ndarray

Coordinates of the drawn sample.

__init__(pdf, axis=None, random_state=0)[source]#
classmethod __new__(*args, **kwargs)#