standard_exponential(self, size=None, chunks='auto', **kwargs)

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.

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 : float or ndarray

Drawn samples.

Draw samples from the standard exponential distribution.

See Also

Generator.standard_exponential

which should be used for new code.

Examples

Output a 3x8000 array:

This example is valid syntax, but we were not able to check execution

>>> n = np.random.standard_exponential((3, 8000))  # doctest: +SKIP

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.random.RandomState.standard_exponential

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