Hi,
I got a matrix of 2100 lines, and I want to calculate blockwise mean
vectors.
Each block consists of 10 consecutive rows.
My code looks like this:
rv = []
for i in range(0, 2100, 10):
rv.append( mean(matrix[i:i+10], axis=0))
return array(rv)
Is there a more elegant and may be faster method to perform this
calculation ?
Greetings, Uwe
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