dask.array.random.standard_exponential

dask.array.random.standard_exponential(size=None, chunks='auto', **kwargs)

Draw samples from the standard exponential distribution.

This docstring was copied from numpy.random.mtrand.RandomState.standard_exponential.

Some inconsistencies with the Dask version may exist.

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 Quick Start.

Parameters
sizeint 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
outfloat or ndarray

Drawn samples.

See also

Generator.standard_exponential

which should be used for new code.

Examples

Output a 3x8000 array:

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

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