科学计算三维可视化---Mlab基础（改变物体的外观颜色）

import numpy as np

from mayavi import mlab

#建立数据

x,y = np.mgrid[-::200j,-::200j]

z = *np.sin(x*y)/(x*y)

#对数据进行可视化

mlab.figure(bgcolor=(,,))

surf = mlab.surf(z,colormap="cool")　　#cool使用冷色系

#更新视图并显示出来

mlab.show()

>>> x,y = np.mgrid[-::200j,-::200j]

>>> z = *np.sin(x*y)/(x*y)　　#是一个二维数据

>>> z

array([[-0.50636564, -1.00954046, -0.57671118, ..., -0.57671118,

        -1.00954046, -0.50636564],

       [-1.00954046, -0.58512546,  0.38643354, ...,  0.38643354,

        -0.58512546, -1.00954046],

       [-0.57671118,  0.38643354,  1.02032807, ...,  1.02032807,

         0.38643354, -0.57671118],

       ...,

       [-0.57671118,  0.38643354,  1.02032807, ...,  1.02032807,

         0.38643354, -0.57671118],

       [-1.00954046, -0.58512546,  0.38643354, ...,  0.38643354,

        -0.58512546, -1.00954046],

       [-0.50636564, -1.00954046, -0.57671118, ..., -0.57671118,

        -1.00954046, -0.50636564]])

>>>

import numpy as np

from mayavi import mlab

#建立数据

x,y = np.mgrid[-::200j,-::200j]

z = *np.sin(x*y)/(x*y)

#对数据进行可视化

mlab.figure(bgcolor=(,,))

surf = mlab.surf(z,colormap="cool")

#访问surf对象的LUT

#LUT是一个255*4的数组，列向量表示RGBA，每个值的范围从0-

lut = surf.module_manager.scalar_lut_manager.lut.table.to_array()

#增加透明度，修改alpha通道

lut[:,-] = np.linspace(,,)  #修改列向量中A通道

surf.module_manager.scalar_lut_manager.lut.table = lut

#更新视图并显示出来

mlab.show()