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

This is pretty simple.

NumPy gives you numbers evenly distributed in log space.

i.e. 10^(value). where value is evenly spaced between your start and stop values.

You'll note 10^0.02 is 1.04712 ... and 10^2 is 100