Note
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Basic: PlotImage#
You can use M.PlotImage to plot images on all of the Meshes.
import discretize
import matplotlib.pyplot as plt
def run(plotIt=True):
M = discretize.TensorMesh([32, 32])
v = discretize.utils.random_model(M.vnC, seed=789)
v = discretize.utils.mkvc(v)
O = discretize.TreeMesh([32, 32])
def function(cell):
if (
cell.center[0] < 0.75
and cell.center[0] > 0.25
and cell.center[1] < 0.75
and cell.center[1] > 0.25
):
return 5
if (
cell.center[0] < 0.9
and cell.center[0] > 0.1
and cell.center[1] < 0.9
and cell.center[1] > 0.1
):
return 4
return 3
O.refine(function)
P = M.get_interpolation_matrix(O.gridCC, "CC")
ov = P * v
if not plotIt:
return
fig, axes = plt.subplots(1, 2, figsize=(10, 5))
out = M.plot_image(v, grid=True, ax=axes[0])
cb = plt.colorbar(out[0], ax=axes[0])
cb.set_label("Random Field")
axes[0].set_title("TensorMesh")
out = O.plot_image(ov, grid=True, ax=axes[1], clim=[0, 1])
cb = plt.colorbar(out[0], ax=axes[1])
cb.set_label("Random Field")
axes[1].set_title("TreeMesh")
if __name__ == "__main__":
run()
plt.show()
Total running time of the script: (0 minutes 0.312 seconds)