xorbits.numpy.random.standard_exponential#

xorbits.numpy.random.standard_exponential(size=None)[source]#

Draw samples from the standard exponential distribution.

standard_exponential is identical to the exponential distribution with a scale parameter of 1.

Note

New code should use the standard_exponential method of a default_rng() instance instead; please see the random-quick-start.

Parameters

size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

Returns

out – Drawn samples.

Return type

float or ndarray

See also

random.Generator.standard_exponential

which should be used for new code.

Examples

Output a 3x8000 array:

>>> n = np.random.standard_exponential((3, 8000))

This docstring was copied from numpy.random.