dpnp.logspace

dpnp.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)[source]

Return numbers spaced evenly on a log scale.

For full documentation refer to numpy.logspace.

Limitations

Parameter axis is supported only with default value 0.

See also

dpnp.arange: Similar to linspace, with the step size specified instead of the number of samples. Note that, when used with a float endpoint, the endpoint may or may not be included.
dpnp.linspace: Similar to logspace, but with the samples uniformly distributed in linear space, instead of log space.
dpnp.geomspace: Similar to logspace, but with endpoints specified directly.

Examples

>>> import dpnp as np
>>> x = np.logspace(2.0, 3.0, num=4)
>>> [i for i in x]
[100.0, 215.443469, 464.15888336, 1000.0]
>>> x2 = np.logspace(2.0, 3.0, num=4, endpoint=False)
>>> [i for i in x2]
[100.0, 177.827941, 316.22776602, 562.34132519]
>>> x3 = np.logspace(2.0, 3.0, num=4, base=2.0)
>>> [i for i in x3]
[4.0, 5.0396842, 6.34960421, 8.0]