Rotate X,Y (2D) coordinates around a point or origin in Python

rotate_2d_point.py

"""
Lyle Scott, III  // lyle@ls3.io

Multiple ways to rotate a 2D point around the origin / a point.

Timer benchmark results @ https://gist.github.com/LyleScott/d17e9d314fbe6fc29767d8c5c029c362
"""
from __future__ import print_function

import math
import numpy as np


def rotate_via_numpy(xy, radians):
    """Use numpy to build a rotation matrix and take the dot product."""
    x, y = xy
    c, s = np.cos(radians), np.sin(radians)
    j = np.matrix([[c, s], [-s, c]])
    m = np.dot(j, [x, y])

    return float(m.T[0]), float(m.T[1])


def rotate_origin_only(xy, radians):
    """Only rotate a point around the origin (0, 0)."""
    x, y = xy
    xx = x * math.cos(radians) + y * math.sin(radians)
    yy = -x * math.sin(radians) + y * math.cos(radians)

    return xx, yy


def rotate_around_point_lowperf(point, radians, origin=(0, 0)):
    """Rotate a point around a given point.
    
    I call this the "low performance" version since it's recalculating
    the same values more than once [cos(radians), sin(radians), x-ox, y-oy).
    It's more readable than the next function, though.
    """
    x, y = point
    ox, oy = origin

    qx = ox + math.cos(radians) * (x - ox) + math.sin(radians) * (y - oy)
    qy = oy + -math.sin(radians) * (x - ox) + math.cos(radians) * (y - oy)

    return qx, qy


def rotate_around_point_highperf(xy, radians, origin=(0, 0)):
    """Rotate a point around a given point.
    
    I call this the "high performance" version since we're caching some
    values that are needed >1 time. It's less readable than the previous
    function but it's faster.
    """
    x, y = xy
    offset_x, offset_y = origin
    adjusted_x = (x - offset_x)
    adjusted_y = (y - offset_y)
    cos_rad = math.cos(radians)
    sin_rad = math.sin(radians)
    qx = offset_x + cos_rad * adjusted_x + sin_rad * adjusted_y
    qy = offset_y + -sin_rad * adjusted_x + cos_rad * adjusted_y

    return qx, qy


def _main():
    theta = math.radians(90)
    point = (5, -11)

    print(rotate_via_numpy(point, theta))
    print(rotate_origin_only(point, theta))
    print(rotate_around_point_lowperf(point, theta))
    print(rotate_around_point_highperf(point, theta))


if __name__ == '__main__':
    _main()

AFAIK signs in

    qx = offset_x + cos_rad * adjusted_x + sin_rad * adjusted_y
    qy = offset_y + -sin_rad * adjusted_x + cos_rad * adjusted_y

are incorrect. Please refer to rotation matrix in https://en.wikipedia.org/wiki/Rotation_matrix

@Ajk4
They are not incorrect if you are rotating clockwise. But, if the intention is to rotate in the counterclockwise direction, you are right.

thank you :D
i always forget how to rotate things
so having this is very handy

Thank you! The best and most insightful source in the web! I will print and frame it.