dpnp.geomspace

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

Return numbers spaced evenly on a log scale (a geometric progression).

For full documentation refer to numpy.geomspace.

Limitations

Parameter axis is supported only with default value 0.

See also

dpnp.logspace: Similar to geomspace, but with endpoints specified using log and base.
dpnp.linspace: Similar to geomspace, but with arithmetic instead of geometric progression.
dpnp.arange: Similar to linspace, with the step size specified instead of the number of samples.

Examples

>>> import dpnp as np
>>> x = np.geomspace(1, 1000, num=4)
>>> [i for i in x]
[1.0, 10.0, 100.0, 1000.0]
>>> x2 = np.geomspace(1, 1000, num=4, endpoint=False)
>>> [i for i in x2]
[1.0, 5.62341325, 31.6227766, 177.827941]