Hi everyone.
Hope you can help me overcome this "noob" issue.
I have two numpy arrays:
>>> P
array([[[ 2, 3],
[33, 44],
[22, 11],
[ 1, 2]]])
>>> R
array([0, 1, 2, 3])
the values of these may of course be different. The important fact is that:
>>> P.shape
(1, 4, 2)
>>> R.shape
(4,)
where the number 4 in the shape of both P and R may be another number as well
(same on both).
What I'd like to get is a new array Q with same shape as P so that the nth pair
of Q is the nth pair of P multiplied by the nth element of R. I.e., in the above
case it should produce:
>>> Q
array([[[ 0, 0],
[33, 44],
[44, 22],
[ 3, 6]]])
Is there a direct, single expression command to get this result? I have tried
all I could imagine, including .T, extend_dims, h/vstack, repeat..., so far with
no success.
Please, any help will be welcomed.
Thanks.
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