[Numpy-discussion] nicest way to apply an arbitrary sequence of row deltas to an array
Sun Dec 20 20:38:51 CST 2009
I was wondering if anyone had insight on the best way to solve the
Suppose I have a numpy array called U.
U has shape (N,M)
Suppose further that I have another array called dU and that
dU has shape (P,M) and that P has no particular relationship to N, it
could be larger or smaller.
Additionally, I have a one dimensional array called idx and
idx has shape (P,). Furthermore idx holds integers that are all valid
indices into the rows of U. idx almost certainly contains some
for k in range(P):
U[idx[k],:] += dU[k,:]
Is there a nice vectorized and efficient way to do this without making
the obvious python for loop I included above? For what I am doing, P
is usually quite large. I am most interested in a clever use of
numpy/scipy commands and Python and not Cython.
Thanks in advance for any suggestions.
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