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()

[01:03:23] 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)

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

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()}");