I have a numpy 2d array A
, and a list of row numbers row_set
. How can I get new array B
such as if row_set = [0, 2, 5]
, then B = [A_row[0], A_row[2], A_row[5]]
?
I thought of something like this:
def slice_matrix(A, row_set):
slice = array([row for row in A if row_num in row_set])
but I don't have any idea, how can I get a row_num.
Use take()
:
In [87]: m = np.random.random((6, 2))
In [88]: m
Out[88]:
array([[ 0.6641412 , 0.31556053],
[ 0.11480163, 0.00143887],
[ 0.4677745 , 0.43055324],
[ 0.49749099, 0.15678506],
[ 0.48024596, 0.65701218],
[ 0.48952677, 0.97089177]])
In [89]: m.take([0, 2, 5], axis=0)
Out[89]:
array([[ 0.6641412 , 0.31556053],
[ 0.4677745 , 0.43055324],
[ 0.48952677, 0.97089177]])
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