极坐标中绘图(projection参数)

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# 在使用的时候一定要注意角度和边的数量一定要相等，不然会出现维度错误# ValueError: x and y must have same first dimension

#!/usr/bin/python#coding: utf-8import numpy as npimport matplotlib.pyplot as plt# print plt.style.availableplt.style.use("ggplot")r1 = np.arange(1, 6, 1)# 生成5个数，每个数都是5r2 = np.empty(5)r2.fill(5)# 生成9个数，每个数都是5r3 = np.empty(9)r3.fill(5)# print len(r3)r4 = np.empty(7)r4.fill(5)theta1 = np.arange(0, 2 * np.pi + 1, np.pi /2)# 八边形中每一个顶点在极坐标中所占的角度theta2 = np.arange(0, 2 * np.pi + 0.00000001, np.pi / 4)# print len(theta2)theta3 = np.arange(0, 2 * np.pi + 0.000000001, np.pi /3)# 投影成极坐标ax1 = plt.subplot(221, projection = "polar")ax1.plot(theta1, r1, color = "r", linewidth = 3)ax1.grid(True)ax2 = plt.subplot(222, projection = "polar")ax2.plot(theta1, r2, color = "g", linewidth = 3)ax2.grid(True)ax3 = plt.subplot(223, projection = "polar")ax3.plot(theta2, r3, color = "b")ax3.grid(True)ax4 = plt.subplot(224, projection = "polar")ax4.plot(theta3, r4, color = "y", linewidth = 3)ax4.grid(True)plt.show()

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