问题描述
我有三个长度相等的数组 x、y 和 z.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，
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]像这样制作 3D 绘图很容易
ax.plot_trisurf(x, y, z, cmap=cm.RdYlGn)或
ax.bar3d(x, y, [0] * len(x), 100, 100, z, cmap=cm.RdYlGn)但我正在寻找类似的东西
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]
It is easy to make 3D plots out of this like
ax.plot_trisurf(x, y, z, cmap=cm.RdYlGn)
or
ax.bar3d(x, y, [0] * len(x), 100, 100, z, cmap=cm.RdYlGn)
But I am looking for something like this
np.meshgrid returns a tuple of two 2D arrays, which you can unpack directly
X,Y = np.meshgrid(x,y)
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)
If you want to use meshgrid instead, you can use your X and Y values,
plt.pcolormesh(X,Y,Z)
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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