相当于从MATLAB到Python

1 回答

• 2

  Matplotlib几乎提供了Matlab所做的所有绘图选项 . 表面图也可以这样做：http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#surface-plots

  要加载图像，scipy有一个PIL包装器（不包括小丑，抱歉），它加载matplotlib兼容的numpy数组 .

  总而言之，您需要以下软件包：numpy，scipy，matplotlib和PIL . 这四个库的组合应该可以满足您的所有需求 . 还可以查看这些库的pylab接口，因为它与Matlab非常相似 .

  做我认为你想做的事情的例子：

  from mpl_toolkits.mplot3d import Axes3D
  from scipy.misc import imread
  from matplotlib.pyplot import figure, show
  from numpy import linspace, meshgrid, sqrt, sin, mean, flipud
  
  clown = imread('clown.png')
  fig = figure()
  ax = fig.gca(projection='3d')
  X = linspace(-5, 5, clown.shape[0])
  Y = linspace(-5, 5, clown.shape[1])
  X, Y = meshgrid(X, Y)
  R = sqrt(X**2 + Y**2)
  Z = sin(R)
  clown = clown.swapaxes(0,1) / 255. # meshgrid orients axes the other way around, scaling of rgb to [0-1]
  ax.plot_surface(X, Y, Z, facecolors=flipud(clown))
  ax.view_init(45,-35) # swapped wrt matlab
  show()
  

  回复于 2024-04-29T16:01:19+08:00