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()

[19:13:23] 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)

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

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()}");