- nlcpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0)
Returns 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.
The starting value of the sequence.
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 + 1evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.
- numint, optional
Number of samples to generate. Default is 50. Must be non-negative.
- endpointbool, optional
If True, stop is the last sample. Otherwise, it is not included. Default is True.
- retstepbool, optional
If True, return (samples, step) where step is the spacing between samples.
- dtypedtype, optional
The type of the output array. If dtype is not given, infer the data type from the other input arguments.
- axisint, 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.
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).
- stepfloat, optional
Only returned if retstep is True Size of spacing between samples.
Returns evenly spaced values within a given interval.
>>> import nlcpy as vp >>> vp.linspace(2.0, 3.0, num=5) array([2. , 2.25, 2.5 , 2.75, 3. ]) >>> vp.linspace(2.0, 3.0, num=5, endpoint=False) array([2. , 2.2, 2.4, 2.6, 2.8]) >>> vp.linspace(2.0, 3.0, num=5, retstep=True) (array([2. , 2.25, 2.5 , 2.75, 3. ]), array([0.25]))