show_panels

This functions create a montage of many 2D slices through a 3D image. This is useful for very quick checks of the image to ensure the features are present, shapes are correct, etc.

import porespy as ps
import matplotlib.pyplot as plt
[20:05:17] ERROR    PARDISO solver not installed, run `pip install pypardiso`. Otherwise,          _workspace.py:56
                    simulations will be slow. Apple M chips not supported.                                         
im = ps.generators.blobs([20, 40, 60], blobiness=0.5)

im

This arugment receives the 3D image which is to be sliced:

fig, ax = ps.visualization.show_panels(im)
../../../_images/731921025a32e4600e330e88df77434b3dc7bd71f3e697cec3f0064f0492821a.png

rc

Indicates the number of rows and columns to use. The default is [3, 3]. The function will take the needed number of slices to fill in the panel complete, evenly spaced along the specified axis.

fig, ax = ps.visualization.show_panels(im, rc=[2, 4])
../../../_images/ae516a3da8493cc9b07751b1f2e0e8cc87e18ef368d3efacad22a516302427e0.png

axis

Indicates the direction which slices are taken. By default slices are taken from the x-direction (axis=0), meaning the panels are slices of the “yz-plane”.

fig, ax = ps.visualization.show_panels(im, axis=2)
../../../_images/0f726edfeb90c8ca5d2d4542959468d3e77aacf5167ee0aaa3c7d4b87129aaef.png