make_contiguous

Import packages

import numpy as np
import porespy as ps
import scipy.ndimage as spim
import matplotlib.pyplot as plt
import skimage
ps.visualization.set_mpl_style()

[03:06:19] ERROR    PARDISO solver not installed, run `pip install pypardiso`. Otherwise,          _workspace.py:56
                    simulations will be slow. Apple M chips not supported.                                         

Generate image for testing

im = np.random.randint(-10,10, [10,10], int)
print(im)

[[  9  -4  -5  -6  -1   5   5   3 -10   0]
 [  8   0   7   0   4   1   8   3   4   3]
 [ -5  -5   8  -8   5  -6  -1  -8   5   5]
 [ -5   0   2  -7  -6   6   1 -10 -10  -2]
 [ -9   8  -9   2  -5   3   4   3   7  -1]
 [  1  -4  -8   4   1  -1  -8   9   9  -1]
 [ -4   3   3  -4   5  -1  -2  -8   3  -1]
 [  9   5   6  -6  -8  -6   2  -6  -5  -3]
 [  1   1  -7  -9  -2 -10   8  -5  -5   8]
 [  2   3  -3  -8  -1   9   2  -7  -1  -4]]

fig, ax = plt.subplots(1, 1, figsize=[4, 4])
ax.imshow(im)
ax.axis(False)
ax.set_title(f"Minimum = {im.min()}");

Demonstrate function

im1 = ps.tools.make_contiguous(im=im, mode='keep_zeros')

fig, ax = plt.subplots(1, 1, figsize=[4, 4]);
ax.imshow(im1)
ax.axis(False)
ax.set_title(f"Minimum = {im1.min()}");