| import matplotlib.pyplot as plt |
| import numpy as np |
| from matplotlib.collections import PatchCollection |
| from matplotlib.patches import Circle, Rectangle |
|
|
| from openpnm._skgraph.tools import rotate_coords |
| from openpnm.models.geometry import throat_endpoints, throat_length |
| from openpnm.network import Network |
| from openpnm.topotools import find_connected_sites |
|
|
| __all__ = [ |
| 'draw_conduit', |
| ] |
|
|
|
|
| def draw_conduit(network, throat): |
| """Draws a subset of a network given throat numbers.""" |
| pn = network |
| P1, P2 = find_connected_sites(g=pn, bonds=throat) |
| new_net = Network(coords=pn.coords[[P1, P2], :], conns=np.atleast_2d([0, 1])) |
| new_net.regenerate_models() |
| new_net['pore.diameter'] = pn['pore.diameter'][[P1, P2]] |
| new_net['throat.diameter'] = [pn['throat.diameter'][throat]] |
| new_net['throat.length'] = throat_length.circles_and_rectangles(new_net) |
| new_net['throat.endpoints'] = throat_endpoints.spheres_and_cylinders(new_net) |
|
|
| Pcrds = np.vstack((pn.coords[0, :], pn.coords[0, :])) |
| Pcrds[1, :] = Pcrds[1, :] + np.array([new_net['throat.spacing'], 0, 0]) |
| fig, ax = plt.subplots(figsize=[10, 5]) |
| patches = [] |
| for i, P in enumerate([0, 1]): |
| x, y, r = Pcrds[P, 0], Pcrds[P, 1], new_net['pore.diameter'][P]/2 |
| circle = Circle((x, y), r) |
| patches.append(circle) |
| Tcrds = np.vstack(list(new_net['throat.endpoints'].values())) |
| Tcrds = rotate_coords(Tcrds, b=270) |
| H = new_net['throat.diameter'][0] |
| W = new_net['throat.length'][0] |
| R1 = new_net['pore.diameter'][0]/2 |
| R2 = new_net['pore.diameter'][1]/2 |
| rect = Rectangle(xy=(Tcrds[0, 0], Tcrds[0, 1]-H/2), height=H, width=W) |
| patches.append(rect) |
| p = PatchCollection(patches, alpha=0.5, edgecolor='k', linewidth=3) |
| p.set_array([1, 1, 2]) |
| p.cmap = plt.cm.bwr |
| ax.add_collection(p) |
| ax.scatter(*Pcrds[0, :2], marker='+', c='k', s=100) |
| ax.scatter(*Pcrds[1, :2], marker='+', c='k', s=100) |
| left = min(Pcrds[:, 0])-R1 |
| right = max(Pcrds[:, 0])+R2 |
| ax.set_xlim([left - abs(left-right)/32, right + abs(left-right)/32]) |
| temp = (Pcrds[:, 1]).mean() |
| ax.set_ylim([temp - abs(left-right)/4, temp + abs(left-right)/4]) |
| ax.annotate(text='', |
| xy=Pcrds[0, :2], |
| xytext=(Pcrds[0, 0], Pcrds[0, 1]-R1), |
| arrowprops=dict(arrowstyle='<-', lw=2)) |
| ax.annotate(text=f"{R1}", |
| xy=Pcrds[0, :2], |
| xytext=(Pcrds[0, 0], Pcrds[0, 1]-R1/2), |
| textcoords='data') |
| return ax |
|
|
