去除python表面陰影中的陰影

Question

當我運行附加的python代碼（其中一些是我試圖生成的遺留下來的垃圾）時，我得到了一個有兩個陰影的表面。 （黑暗和淺紅色），是否有辦法將它變成單一色調？

import numpy as np 
from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt 
import sys 
from math import sqrt,exp,log, sin 
from pylab import rcParams 

rcParams['figure.figsize'] = 30,26 
fig = plt.figure() 
ax = fig.add_subplot(211, projection='3d') 

l = 7 
sigma = 1.0/277.450924284104 #You are stupid so have found the charge density for surface potentail of exactly 62mV 
pi = 3.14159 
b = 1.0/(2*pi*sigma*l) 
lambdaD = 9.5 

X0, Y0 = np.mgrid[0:1:100j, 0:1:100j] 
Z0 = np.zeros_like(X0) 
for i in range(0,len(X0)): 
    for j in range (0, len(X0[i])): 
     Z0[i][j] = 10*sin(X0[i][j]*2*pi) 


ax.plot_surface(X0,Y0,Z0,color='red', linewidth=0, rstride=10, cstride=10, antialiased=False) 
ax.set_axis_off() 

Answer 1

當然，只要指定shade=False到ax.plot_surface。

此外，絕對不需要使用嵌套for循環或通過rcParams指定圖形大小。

import numpy as np 
from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt 

fig = plt.figure(figsize=(30, 26)) 
ax = fig.add_subplot(111, projection='3d') 

X0, Y0 = np.mgrid[0:1:100j, 0:1:100j] 
Z0 = 10 * np.sin(X0 * 2 * np.pi) 


ax.plot_surface(X0,Y0,Z0,color='red', linewidth=0, rstride=10, cstride=10, 
       antialiased=False, shade=False) 
ax.set_axis_off() 

plt.show()