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Python 画三维图(二元1.5次方)

import matplotlib.pyplot as plt import numpy as np import math  fig = plt.figure()  # 建立图形窗口 ax = fig.gca(projection='3d')  # 使用三维坐标 w25 = 5.880 * 10 ** (-8) w26 = 1.781 * 10 ** (-8) w27 = 3.635 * 10 ** (-8) w28 = 2.468 * 10 ** (-7) w29 = -1.227 * 10 ** (-8) w30 = -2.883 * 10 ** (-9) w31 = -1.361 * 10 ** (-6) w32 = 5.844 * 10 ** (-7) w33 = -1.199 * 10 ** (-7) w34 = 3.169 * 10 ** (-9)  w9 = -1.801 * 10 ** (-5) w10 = -4.832 * 10 ** (-6) w11 = -3.321 * 10 ** (-6) w12 = -5.468 * 10 ** (-5) w13 = 2.610 * 10 ** (-5) w14 = -1.919 * 10 ** (-6)  w19 = -3.055 * 10 ** (-4) w20 = -8.582 * 10 ** (-5) w21 = 3.410 * 10 ** (-5) w22 = 1.372 * 10 ** (-4) w23 = -2.527 * 10 ** (-5) w24 = -1.084 * 10 ** (-6)  w1 = 3.658 * 10 ** (-1) w2 = 1.223 * 10 ** (-3) w3 = -1.452 * 10 ** (-3) w4 = 4.107 * 10 ** (-4) w6 = 4.411 * 10 ** (-2) w7 = 2.410 * 10 ** (-3) w8 = -9.462 * 10 ** (-4) w16 = -1.999 * 10 ** (-2) w17 = 6.975 * 10 ** (-3) w18 = 3.062 * 10 ** (-3)  w5 = -5.268 * 10 ** (-1) w15 = -4.708 * 10 ** (-1)  w0 = -3.573 * 10 ** (-2) l = 300 Ld = 60 Qd = 1.5  n = np.arange(0.1, 0.9, 0.01) Lt = np.arange(10, 30, 0.25) n, Lt = np.meshgrid(n, Lt) # n = np.arange(0.2, 0.3, 0.01) # Lt = np.arange(23, 25, 0.2) H = (w25 * (Ld ** 3)   w26 * (Ld ** 2) * Lt   w27 * (         Ld ** 2) * l   w28 * Ld * Lt ** 2   w29 * Ld * Lt * l   w30 * Ld * l ** 2   w31 * Lt ** 3   w32 * Lt ** 2 * l   w33 * Lt * l ** 2   w34 * l ** 3) * Lt  M = (w9 * (Ld ** 2)   w10 * Ld * Lt   w11 * Ld * l   w12 * Lt ** 2   w13 * Lt * l   w14 * l ** 2) * Lt   (         w19 * (         Ld ** 2)   w20 * Ld * Lt   w21 * Ld * l   w22 * Lt ** 2   w23 * Lt * l   w24 * l ** 2) * Lt * Qd / Ld  P = (w2 * Ld   w3 * Lt   w4 * l) * Lt   (w6 * Ld   w7 * Lt   w8 * l) * Lt * Qd / Ld   (         w16 * Ld   w17 * Lt   w18 * l) * Lt * Qd ** 2 / Ld ** 2  S = w1 * Lt * Qd / Ld   (w5 * Lt * Qd ** 2 / Ld ** 2)   w15 * Lt * Qd ** 3 / Ld ** 3   w0 * Lt  z = H * n ** (3 / 2)   M * n   P * n ** (1 / 2)   S  #X, Y = np.meshgrid(Lt, n) Z = np.array(z)  # Z_result = [] # for i in range(0, 10): #     for j in range(1): #         if j == 0: #             Z_result.append([]) #         Z_result[i].append(Z[i]) # # Z_result1 = np.array(Z_result) # print(Z_result)  # print(X) # print(Y) # print(Z) #print(max(Z)) ax.plot_surface(n, Lt, Z)  # 绘制 ax.set_xlabel('${ n_p}$ [$10^{16} cm^{-3}]$') ax.set_ylabel('$L_t$') ax.set_zlabel('$Q_t$ [nC]') #  ax.view_init(20, 45) plt.show() 

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