如下所示：

(x,y)为要转的点，（pointx,pointy)为中心点，如果顺时针角度为angle

srx = (x-pointx)*cos(angle) + (y-pointy)*sin(angle)+pointx

sry = (y-pointy)*cos(angle) - (x-pointx)*sin(angle)+pointy

(x,y)为要转的点，（pointx,pointy)为中心点，如果逆时针角度为angle

nrx = (x-pointx)*cos(angle) - (y-pointy)*sin(angle)+pointx

nry = (x-pointx)*sin(angle) + (y-pointy)*cos(angle)+pointy

import numpy as npimport mathimport matplotlib.pyplot as plt# 绕pointx,pointy逆时针旋转def Nrotate(angle,valuex,valuey,pointx,pointy): valuex = np.array(valuex) valuey = np.array(valuey) nRotatex = (valuex-pointx)*math.cos(angle) - (valuey-pointy)*math.sin(angle) + pointx nRotatey = (valuex-pointx)*math.sin(angle) + (valuey-pointy)*math.cos(angle) + pointy return nRotatex, nRotatey# 绕pointx,pointy顺时针旋转def Srotate(angle,valuex,valuey,pointx,pointy): valuex = np.array(valuex) valuey = np.array(valuey) sRotatex = (valuex-pointx)*math.cos(angle) + (valuey-pointy)*math.sin(angle) + pointx sRotatey = (valuey-pointy)*math.cos(angle) - (valuex-pointx)*math.sin(angle) + pointy return sRotatex,sRotateypointx = 1pointy = 1sPointx ,sPointy = Nrotate(math.radians(45),pointx,pointy,0,0)print(sPointx,sPointy)plt.plot([0,pointx],[0,pointy])plt.plot([0,sPointx],[0,sPointy])plt.xlim(-3.,3.)plt.ylim(-3.,3.)plt.xticks(np.arange(-3.,3.,1))plt.yticks(np.arange(-3.,3.,1))plt.show()import numpy as npimport mathimport matplotlib.pyplot as plt# 绕pointx,pointy逆时针旋转def Nrotate(angle,valuex,valuey,pointx,pointy): valuex = np.array(valuex) valuey = np.array(valuey) nRotatex = (valuex-pointx)*math.cos(angle) - (valuey-pointy)*math.sin(angle) + pointx nRotatey = (valuex-pointx)*math.sin(angle) + (valuey-pointy)*math.cos(angle) + pointy return nRotatex, nRotatey# 绕pointx,pointy顺时针旋转def Srotate(angle,valuex,valuey,pointx,pointy): valuex = np.array(valuex) valuey = np.array(valuey) sRotatex = (valuex-pointx)*math.cos(angle) + (valuey-pointy)*math.sin(angle) + pointx sRotatey = (valuey-pointy)*math.cos(angle) - (valuex-pointx)*math.sin(angle) + pointy return sRotatex,sRotatey x1 = np.array([1,2,3])y1 = np.array([1,2,3])x2 = np.array([3,6])y2 = np.array([2,1])# x2往x1上拼disx = x2[0]-x1[0]disy = y2[0]-y1[0]removeX2 = x2-disxremoveY2 = y2-disytany1 = y1[-1]-y1[0]tanx1 = x1[-1]-x1[0]angle1 = math.degrees(np.arctan(tany1/tanx1))tany2 = y2[-1]-y2[0]tanx2 = x2[-1]-x2[0]angle2 = math.degrees(np.arctan(tany2/tanx2))disAngle = angle2-angle1print(angle1)print(angle2)print(disAngle)if disAngle<0: rotateX,rotateY = Nrotate(math.radians(abs(disAngle)),removeX2,removeY2,x1[0],y1[0])else: rotateX,rotateY = Srotate(math.radians(abs(disAngle)),removeX2,removeY2,x1[0],y1[0])plt.plot(x1,y1,color='red')plt.plot(removeX2,removeY2,color='green')plt.scatter(rotateX,rotateY,color='yellow')plt.xlim(0.,10.)plt.ylim(0.,10.)plt.xticks(np.arange(0.,10.,1))plt.yticks(np.arange(0.,10.,1))plt.show()

以上这篇python实现一个点绕另一个点旋转后的坐标就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。