问题描述
我有一个2D numpy的数组，我想绘制它的3D。我听说mplot3d，但我不能得到正常工作
I have a 2D numpy array and I want to plot it in 3D. I heard about mplot3d but I cant get to work properly
这里是我想要做的一个例子。我与尺寸（256,1024）的阵列。它应绘制三维图，其中x轴是从0到256的Y轴为0至1024和图形的z轴在每个条目显示阵列的值。
Here's an example of what I want to do. I have an array with the dimensions (256,1024). It should plot a 3D graph where the x axis is from 0 to 256 the y axis from 0 to 1024 and the z axis of the graph displays the value of of the array at each entry.
我怎么去呢？
推荐答案
这听起来像你要创建一个的情节（或者你可以绘制的情节或充满countour剧情。
It sounds like you are trying to create a surface plot (alternatively you could draw a wireframe plot or a filled countour plot.
从问题的信息，您可以尝试沿着线的东西：
From the information in the question, you could try something along the lines of:
import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# Set up grid and test data
nx, ny = 256, 1024
x = range(nx)
y = range(ny)
data = numpy.random.random((nx, ny))
hf = plt.figure()
ha = hf.add_subplot(111, projection='3d')
X, Y = numpy.meshgrid(x, y) # `plot_surface` expects `x` and `y` data to be 2D
ha.plot_surface(X, Y, data)
plt.show()
显然，你需要选择更明智的数据比使用 numpy.random ，以获得合理的表面。
Obviously you need to choose more sensible data than using numpy.random in order to get a reasonable surface.
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