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

From documentation for numpy.logspace() -

numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None)

Return numbers spaced evenly on a log scale.

In linear space, the sequence starts at base ** start (base to the power of start) and ends with base ** stop (see endpoint below).

For your case, base is defaulting to 10, so its going from 10 raised to 0.02 to 10 raised to 2 (100).