python中的3D体积杂技。在3D numpy数组中选择x / y / z行/列

Question

I'm new to ndarrays in Numpy, so please be kind. I have a 3D raw volume imported into numpy as a dtype uint8 array with shape (309L, 138L, 134L) representing Z, Y, X dimensions.

The Raw image dimensions are (x,y,z), 134 138 309

This array is called ThreeD .

I can plot a Z 'section' of dimension XY of ThreeD with

ThreeD[70]

(selecting row 70)

I can plot a Y 'section' of dimension XZ of ThreeD with

ThreeD[:,70]

(selecting column 70)

but of course, there is the extra dimension! These first two are easy to reference, but I'm at a loss of how to select/reference the third dimension.. ie the X section of dimension YZ (ie slicing a face of the matrix). I should add that I'm not entirely sure of the XZ/YZ dimension here, so those references might be reversed.

I got as far as I did using Sebastian Raschka's handy cheat sheet http://sebastianraschka.com/Articles/2014_matrix_cheatsheet.html

thanks kindly for any help

Answer 1

ThreeD[70] for Z

ThreeD[:, 70] for Y

ThreeD[:, :, 70] or ThreeD[..., 70] for X

from Jaime. Thankyou.