Difference in output between numpy linspace and numpy logspace

Question

Numpy linspace returns evenly spaced numbers over a specified interval. Numpy logspace return numbers spaced evenly on a log scale.

I don\'t understand why numpy log

Answer 1

2017 update: The numpy 1.12 includes a function that does exactly what the original question asked, i.e. returns a range between two values evenly sampled in log space.

The function is numpy.geomspace

>>> np.geomspace(0.02, 2.0, 20)
array([ 0.02      ,  0.0254855 ,  0.03247553,  0.04138276,  0.05273302,
        0.06719637,  0.08562665,  0.1091119 ,  0.13903856,  0.17717336,
        0.22576758,  0.28768998,  0.36659614,  0.46714429,  0.59527029,
        0.75853804,  0.96658605,  1.23169642,  1.56951994,  2.        ])