numpy.linspace¶
-
numpy.
linspace
(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0)[source]¶ Return evenly spaced numbers over a specified interval.
Returns num evenly spaced samples, calculated over the interval [start, stop].
The endpoint of the interval can optionally be excluded.
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 end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of
num + 1
evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.- num : int, optional
Number of samples to generate. Default is 50. Must be non-negative.
- endpoint : bool, optional
If True, stop is the last sample. Otherwise, it is not included. Default is True.
- retstep : bool, optional
If True, return (samples, step), where step is the spacing between samples.
- dtype : dtype, optional
The type of the output array. If
dtype
is not given, infer the data type from the other input arguments.New in version 1.9.0.
- 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
There are num equally spaced samples in the closed interval
[start, stop]
or the half-open interval[start, stop)
(depending on whether endpoint is True or False).- step : float, optional
Only returned if retstep is True
Size of spacing between samples.
See also
Examples