1、绘制极坐标图像：import matplotlib.pyplot as pltimport numpy as npa = plt.subplot(121, projection='polar')b = plt.subplot(122, projection='polar')t=np.linspace(0,2*np.pi,30) #采样a.plot(t,np.sin(3*t),'.',c='g',)b.plot(t,np.sin(3*t),'-',c='r',)plt.show()
3、一般的，采样数越大，曲线看起来越光滑：import matplotlib.pyplot as pltimport nump烤恤鹇灭y as npfor n in range(30,101,5): a = plt.subplot(121, projection='polar') b = plt.subplot(122, projection='polar') t=np.linspace(0,2*np.pi,n) a.plot(t,np.sin(3*t),'.',c='g',) b.plot(t,np.sin(3*t),'-',c='r',) plt.savefig(str(n)+'.png',dpi=100)plt.show()
5、用虚线绘制图像：b.plot(t,np.sin(3*t),'--',c='r',lw=1)
7、用像素点画图：b.plot(t,np.sin(3*t),',',c='b',)
9、用三尖形代替点：b.plot(t,np.sin(3*t),'1',c='b',)
11、用平行四边形代替点：b.plot(t,np.sin(3*t),'d',c='b',)
