相关疑难解决方法(0)

我试图根据z值为线框图着色.我在互联网上找不到任何代码示例.

下面是一个表面图的示例,其中包含我想要的颜色和线框图,我无法在线上获取颜色:

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

# some numbers for the data
P=12000 #W
Q=1     #kg/s
DT=3    #K
cp=4169.32  #J/kgK

dDT=np.logspace(-2,0,20,endpoint=True)
dQ=Q*np.logspace(-3,-1,20,endpoint=True)

# the plotting data
m1,m2=np.meshgrid(dDT,dQ)
err=cp*np.sqrt((m1*Q)**2+(m2*DT)**2)/P

# the wiremesh plot that i need fixed
fig=plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot_wireframe(m1, m2, err, color=err/err.max(),cmap='jet')
ax.set_xlabel('dDT')
ax.set_ylabel('DQ')
ax.set_zlabel('relative error')

# the surface plot that has the colors i want
fig = plt.figure()
ax = fig.gca(projection='3d')

surf = ax.plot_surface(m1, …

我在matlab中生成了以下表面图:

我需要在.NET中创建它.我希望使用IronPython来做到这一点.但首先我只想尝试用Python创建绘图(PyLab).这是我到目前为止:

请看看我的代码并告诉我如何让python显示黑色边缘线.当我添加facecolors=UWR(heatmap)属性时,它们似乎消失了surf(...).这是mplot3d中的错误还是设计？无论哪种方式,我如何让线路回来？

这是我的代码(大数据矩阵的道歉):

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib.pyplot as plt
import matplotlib
from pylab import *
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')

#Sample colour data
heatmap = np.array([(0.304, 0.288,  0.284,  0.26,   0.248,  0.224,  0.204,  0.184,  0.18,   0.18,   0.156,  0.148,  0.144,  0.136,  0.136,  0.128,  0.124,  0.124,  0.128,  0.124,  0.124),
                    (0.356, 0.348,  0.332,  0.328,  0.308,  0.292,  0.288,  0.272,  0.252,  0.232,  0.216,  0.204,  0.16, …