[Numpy-discussion] Apply transform to many small matrices

Hi, First of all excuse me if this is a trivial question. I have the feeling it is, but searching and looking through the docs has proven unsuccesful so far. I have an ndarray A of shape (M,2,2) representing M 2 x 2 matrices. Now I want to apply a transform T of shape (2,2) to each of matrix. The way I do this now is by iterating over all rows of A multiplying the matrices using numpy.dot(): for row in np.arange(A.shape[0]): A[row] = np.dot(A[row],T) but this seems to be slow when M is large and I have the feeling there must be a way of doing it better. Thanks, jorges