I want to add every columns of a matrix to a numpy array, but numpy.broadcast only allows to add every rows of a matrix to an array. How can I do this?
My idea is to first transpose the matrix then add it to the array then transpose back, but this uses two transposes. Is there a function to do it directly?
Instead of using an array you could use a second matrix with just one column:
matrix = np.matrix(np.zeros((3,3)))
array = np.matrix([[1],[2],[3]])
matrix([[1],
[2],
[3]])
matrix + array
matrix([[ 1., 1., 1.],
[ 2., 2., 2.],
[ 3., 3., 3.]])
If you originally have an array you can reshape it like this:
a = np.asarray([1,2,3])
matrix + np.reshape(a, (3,1))
matrix([[ 1., 1., 1.],
[ 2., 2., 2.],
[ 3., 3., 3.]])
