如何使用3个数组进行彩色2D网格 [英] How to do colored 2D grid with 3 arrays

问题描述

我有三个相等长度的x，y和z数组. x和y数组是网格的x轴和y轴. z数组将确定网格块的颜色.例如，

I have three arrays of equal length x, y, and z. The x and y arrays are the x-axis and y-axis for the grid. The z array will determine the color of the the grid block. For example,

x = [10, 10, 10, 20, 20, 20, 30, 30, 30]
y = [10, 20, 30, 10, 20, 30, 10, 20, 30]
z = [100, 54, 32, 67, 71, 88, 100, 15, 29]

使用

ax.plot_trisurf(x, y, z, cmap=cm.RdYlGn)

或

ax.bar3d(x, y, [0] * len(x), 100, 100, z, cmap=cm.RdYlGn)

但是我正在寻找类似的东西 此

But I am looking for something like this

推荐答案

np.meshgrid返回两个2D数组的元组，您可以直接解压缩

np.meshgrid returns a tuple of two 2D arrays, which you can unpack directly

X,Y = np.meshgrid(x,y)

但是，您不需要那些用于imshow图.您需要的和代码中缺少的是z值的2D数组.这将是提供给imshow的数组.

However, you don't need to those for an imshow plot. What you need and what you lack in your code is the 2D array of z values. This would be the array to provide to imshow.

img = plt.imshow(Z)

如果要改用meshgrid，则可以使用X和Y值，

If you want to use meshgrid instead, you can use your X and Y values,

plt.pcolormesh(X,Y,Z)

查看示例数据，可以使用imshow:

Seeing the example data, you can use imshow:

x = [10, 10, 10, 20, 20, 20, 30, 30, 30]
y = [10, 20, 30, 10, 20, 30, 10, 20, 30]
z = [100, 54, 32, 67, 71, 88, 100, 15, 29]

import matplotlib.pyplot as plt
import numpy as np

z = np.array(z).reshape(3,3)

plt.imshow(z,extent=[5,35,5,35])

plt.show()

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