If the num argument of numpy.linspace is larger than 1, it will return a Quantity 1D. If the num argument is 1 it will return a normal numpy array. Example: In [4]: np.linspace(1.0 * pq.s, 4.0 * pq ...

#This file makes the difference between linspace and arange clear. These two commands are often mixed up. import numpy as np print(np.linspace(4,20,3))#The last number indicates the number of substeps ...

We'll set up our x-axis with the np.linspace command, which will set up an evenly spaced array of values. This command will set up an x-axis of 50 datapoints between -10 and 10: ...