For example, I have a matrix like this:
In [2]: a = np.arange(12).reshape(3, 4)
In [3]: a
Out[3]:
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8,
An expected, exact, output is not provided. So, I think the followings may help you in general.
>>> a = np.arange(12).reshape(3, 4)
>>> a
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]])
>>> row = np.array([0, 1, 2])
>>> col = np.array([1, 2, 0])
>>> a[row, col]
array([1, 6, 8])
You can set the row
and col
s of a
to an value:
>>> a[row, col] = 0
>>> a
array([[ 0, 0, 2, 3],
[ 4, 5, 0, 7],
[ 0, 9, 10, 11]])