Broadcasting is really good for this:
row_sums = a.sum(axis=1) new_matrix = a / row_sums[:, numpy.newaxis]
row_sums[:, numpy.newaxis]
reshapes row_sums from being (3,)
to being (3, 1)
. When you do a / b
, a
and b
are broadcast against each other.
You can learn more about broadcasting here or even better here.
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