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
[17:46:20] 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/29516449cf996934af8a6ec5779b815eb48e6f0826d65c1f7b5fe4633f316285.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/ffbd48e3dbf62d5a4951a54dcf0dcf56c515a640bcbdc048968e482d243a4c8b.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/a0c16e615679d93a799299edf27bd49764a7c4d39713ea3ca828eafae31ce7bb.png