bottleneck.move_mean get different result for the same ndarray

Asked Feb 09 '22 at 05:17

Active Feb 09 '22 at 10:23

Viewed 61 times

import bottleneck as bn

import numpy as np

test = np.full((5,8), 0)

test[1, :]=1

the different result:

result = bn.move_std(test, 3, axis=0)[-1, :]

array([8.60318943e-09, 8.60318943e-09, 8.60318943e-09, 8.60318943e-09,
   8.60318943e-09, 8.60318943e-09, 8.60318943e-09, 8.60318943e-09])

edited Feb 09 '22 at 10:23

asked Feb 09 '22 at 05:17

xcavery

What is your question? – Alex G Feb 09 '22 at 10:53
test[-3:, :] is full of 0, why the avg value is not 0? – xcavery Feb 09 '22 at 10:56
Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking. – Community Feb 19 '22 at 10:50

0 Answers0