porespy.visualization

This module contains functions for quickly visualizing 3D images in 2D views.

Functions

bar(results[, h])	Convenience wrapper for matplotlib's bar.
imshow(im[, ind, axis])	Convenience wrapper for matplotlib's imshow.
prep_for_imshow(im[, mask, axis, slice])	Adjusts the range of greyscale values in an image to improve visualization
satn_to_movie(im, satn[, cmap, c_under, c_over, ...])	Converts a saturation map into an animation that can be saved
satn_to_panels(satn, im[, bins, axis, slice])	Produces a set of images with each panel containing one saturation
sem(im[, axis])	Simulates an SEM image looking into the porous material.
set_mpl_style()	Prettifies matplotlib's output by adjusting fonts, markersize etc.
show_3D(im)	Rotates a 3D image and creates an angled view for rough 2D visualization.
show_mesh(mesh)	Visualizes the mesh of a region as obtained by get_mesh function in the
show_panels(im[, rc, axis])	Show slices of a 3D image as a 2D array of panels.
show_planes(im[, spacing])	Create a quick montage showing a 3D image in all three directions
xray(im[, axis])	Simulates an X-ray radiograph looking through the porous material.