imshow

This is a wrapper around matplotlib’s imshow that works better with voxel images

import porespy as ps
import matplotlib.pyplot as plt
ps.visualization.set_mpl_style()

[01:03:50] ERROR    PARDISO solver not installed, run `pip install pypardiso`. Otherwise,          _workspace.py:56
                    simulations will be slow. Apple M chips not supported.                                         

im

The image to show. Can be 2D or 3D:

im = ps.generators.blobs([100, 100, 100], blobiness=[1, 2, 3])
ps.visualization.imshow(im);

axis

3D images must be sliced to present a 2D view. This argument controls which axis to slice along. The default is 2, which is the traditional z-axis, so the function will show an xy slice.

ps.visualization.imshow(im, axis=1);

ind

The location or index to slice at, with the default being the midpoint of the specified axis.

ps.visualization.imshow(im, axis=1, ind=10);

kwargs

All other keyword arguments are passed on to plt.imshow. For instance you can set the colormap:

ps.visualization.imshow(im, axis=1, ind=10, cmap=plt.cm.plasma);