3D volume acrobatics in python.. selecting x/y/z rows/columns in 3D numpy arrays
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..
i.e. the X section of dimension YZ (i.e. 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: `ThreeD[70]` for `Z`

`ThreeD[:, 70]` for `Y`

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

from Jaime. Thankyou.

