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()

[20:03:33] 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)

[[  8   3  -5   1  -1   8  -4  -3  -6   5]
 [  6   0  -9   2  -6   0  -5  -7 -10  -8]
 [ -7  -4   2  -7  -9   1  -5   6 -10   7]
 [  4  -2  -3   9   9   7   1  -9   4   7]
 [ -8  -2  -8   7   9   5   4   9  -6  -2]
 [  3   4   2   6  -1  -3   0  -7   1   1]
 [  7   5  -9  -3  -7   5   6   8   1   6]
 [  8   9   4   6  -4   0   4  -9  -8   9]
 [ -4   5   9 -10  -5   9   8  -9   9   0]
 [  7   4   7   0   7   4   6   2   3   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()}");