Numpy Cannot cast ufunc multiply output from dtype
2 ways to solve this:
You can solve this by replacing
A *= Bwith
A = (A * B)or with
numpy.multiply(A, B, out=A, casting='unsafe')
You could use broadcasting to multiply the two arrays and take only the integer part as follows:
In [2]: (A*B).astype(int)Out[2]: array([ 0, 4, 9, 16])Timing Constraints:
In [8]: %timeit (A*B).astype(int)1000000 loops, best of 3: 1.65 µs per loopIn [9]: %timeit np.multiply(A, B, out=A, casting='unsafe')100000 loops, best of 3: 2.01 µs per loop
import numpy as npA = np.float_(A)A *= Btry this. I think are different array type you get fail.
Cast