map_to_regions

Maps pore values from a network onto the image from which it was extracted

import matplotlib.pyplot as plt
import numpy as np
import openpnm as op

import porespy as ps

ws = op.Workspace()
ws.settings['loglevel'] = 50
np.random.seed(10)
ps.visualization.set_mpl_style()

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 3
      1 import matplotlib.pyplot as plt
      2 import numpy as np
----> 3 import openpnm as op
      5 import porespy as ps
      7 ws = op.Workspace()

ModuleNotFoundError: No module named 'openpnm'

Create image and extract network

im = ps.generators.blobs(shape=[400, 400], porosity=0.6)
ps.imshow(im)
snow_output = ps.networks.snow2(im, voxel_size=1)
pn = op.io.network_from_porespy(snow_output.network)

Plot the pore network

fig, ax = plt.subplots()
op.visualization.plot_connections(pn, c='w', linewidth=2, ax=ax)
op.visualization.plot_coordinates(pn, c='w', s=100, ax=ax)
plt.imshow(snow_output.regions.T, origin='lower')
plt.axis('off');

Now assign some values to the network:

pn['pore.values'] = np.random.rand(pn.Np)

And now assign these values to the image regions:

reg = ps.networks.map_to_regions(regions=snow_output.regions.T, values=pn['pore.values'])
plt.imshow(reg, origin='lower');