如何用一组数据的均值创建pcolormesh？

Question

如何使用这组数据并使用pcolormesh对其进行绘图？数据如下：

array([[ 0.  ,  0.  ,  0.  , ..., 
     0.  ,  0.  ,  0.  ], 
    [ 34.19227552, 34.19246389, 34.19265956, ..., 
     34.19284295, 34.19253446, 34.1923012 ], 
    [ 68.46819899, 68.46861825, 68.46892983, ..., 
     68.46895204, 68.46856004, 68.46812476], 
    ..., 
    [ 3937.42832088, 3937.42522049, 3937.43673897, ..., 
    3937.43603929, 3937.44434961, 3937.43535423], 
    [ 3987.08591207, 3987.082997 , 3987.09487184, ..., 
    3987.09300137, 3987.10157045, 3987.09271431], 
    [ 4037.00035477, 4036.9977684 , 4037.01006508, ..., 
    4037.00674248, 4037.01561165, 4037.00689316]]) 

我需要将这些数据绘制成一个3D pcolormesh matplotlib。我该怎么做呢？如果任何人都可以帮助我，我会非常感激，因为我真的需要帮助。

Answer 1

也许你可以按照这个turorials：

http://matplotlib.org/examples/pylab_examples/pcolor_demo.html

或

http://mlpy.sourceforge.net/docs/3.3/tutorial.html

加载模块：

>>> import numpy as np 
>>> import mlpy 
>>> import matplotlib.pyplot as plt # required for plotting 

装入虹膜数据集：

>>> iris = np.loadtxt('iris.csv', delimiter=',') 
>>> x, y = iris[:, :4], iris[:, 4].astype(np.int) # x: (observations x attributes) matrix, y: classes (1: setosa, 2: versicolor, 3: virginica) 
>>> x.shape 
(150, 4) 
>>> y.shape 
(150,)