在np中旋转点列表的惯用方式是什么？

Question

Here's a code I use to rotate a 2D vector by 100 degrees:

theta = np.deg2rad(100)
c, s = np.cos(theta), np.sin(theta)
R = np.matrix([[c, -s], [s, c]])
V = np.transpose(np.matrix([[1., 1.]]))
Z = np.matmul(R, V)

Is there a built in function for that in numpy?

Answer 1

I'd consider what you did as idiomatic. If you want to be fancy you can use scipy .

Avoid numpy.matrix, use regular arrays and array.dot(another).

Answer 2

In case you are interested in fixed size small vectors I would hardcode the result of the matrix operations and leave it dependent on the cos() and sin(). If the matrix are small but a push with the math would be welcome I recommend you to try wxMaxima to get an analytical result to hardcode. On the other hand, if this is an example targeting bigger vectors I would follow Mihai's suggestion and go for scipy.