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

logspace computes its start and end points as base**start and base**stop respectively. The base value can be specified, but is 10.0 by default.

For your example you have a start value of 10**0.02 == 1.047 and a stop value of 10**2 == 100.

You could use the following parameters (calculated with np.log10) instead:

>>> np.logspace(np.log10(0.02) , np.log10(2.0) , num=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.        ])