numpy.linspace

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)[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.

Parameters:

start : scalar The starting value of the sequence. stop : scalar 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.

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.