# show_3D#

Rotates a 3D image and creates an angled view for a rough 2D visualization. This method uses scipy.ndimage.rotate function to view the 3D image from an angle, then projects the result in 2D. This method is useful for a quick visualization of small prototype images. Because it rotates the image it can be slow for large images.

[1]:

import matplotlib.pyplot as plt
import numpy as np
import porespy as ps
import inspect
ps.visualization.set_mpl_style()
inspect.signature(ps.visualization.show_3D)

[1]:

<Signature (im)>


## im#

The input image is 3D array to be veiwed in 3D. Note that the method does not work for 2D arrays as input.

[2]:

im = ps.generators.blobs(shape=[40, 40, 40])
im_viz = ps.visualization.show_3D(im)
fig, ax = plt.subplots(1, 1, figsize=[12, 5])
ax.imshow(im_viz)
ax.axis(False);