使用 matplotlib 或 PIL 将 3d numpy 数组绘制为 3d 图像

Question

After looking at various related answers, I could not figure out a straight way.

I have a 3-d numpy array of shape (390, 280, 160) . I want to visualize this as an image. What could be the simplest way to do it?

Answer 1

Here is a minimal example of volumetric plot using mayavi.
You can find more examples of 3d data visualization here

from mayavi import mlab
import numpy as np

s = np.random.rand(20, 20, 20)
volume = mlab.pipeline.volume(mlab.pipeline.scalar_field(s), vmin=0, vmax=0.8)

mlab.draw()
mlab.savefig('output.png')

From mayavi docs

For such a visualization, tweaking the opacity transfer function is critical to achieve a good effect. Typically, it can be useful to limit the lower and upper values to the 20 and 80 percentiles of the data, in order to have a reasonable fraction of the volume transparent.