numpy.geomspace¶
-
numpy.
geomspace
(start, stop, num=50, endpoint=True, dtype=None, axis=0)[source]¶ Return numbers spaced evenly on a log scale (a geometric progression).
This is similar to
logspace
, but with endpoints specified directly. Each output sample is a constant multiple of the previous.Changed in version 1.16.0: Non-scalar start and stop are now supported.
Parameters: - start : array_like
The starting value of the sequence.
- stop : array_like
The final value of the sequence, unless endpoint is False. In that case,
num + 1
values are spaced over the interval in log-space, of which all but the last (a sequence of length num) are returned.- num : integer, optional
Number of samples to generate. Default is 50.
- endpoint : boolean, optional
If true, stop is the last sample. Otherwise, it is not included. Default is True.
- dtype : dtype
The type of the output array. If
dtype
is not given, infer the data type from the other input arguments.- axis : int, optional
The axis in the result to store the samples. Relevant only if start or stop are array-like. By default (0), the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end.
New in version 1.16.0.
Returns: - samples : ndarray
num samples, equally spaced on a log scale.
See also
Notes
If the inputs or dtype are complex, the output will follow a logarithmic spiral in the complex plane. (There are an infinite number of spirals passing through two points; the output will follow the shortest such path.)
Examples