mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 05:43:26 +08:00
Rowan Cockett
be3667b4ab
- Put all examples in same directory - Make a single test - use __init__.py to create the docs automatically
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
from SimPEG import *
|
|
|
|
def run(plotIt=True):
|
|
"""
|
|
Mesh: Basic: PlotImage
|
|
======================
|
|
|
|
You can use M.PlotImage to plot images on all of the Meshes.
|
|
|
|
|
|
"""
|
|
M = Mesh.TensorMesh([32,32])
|
|
v = Utils.ModelBuilder.randomModel(M.vnC, seed=789)
|
|
v = Utils.mkvc(v)
|
|
|
|
O = Mesh.TreeMesh([32,32])
|
|
O.refine(1)
|
|
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.getInterpolationMat(O.gridCC, 'CC')
|
|
|
|
ov = P * v
|
|
|
|
if plotIt:
|
|
import matplotlib.pyplot as plt
|
|
|
|
fig, axes = plt.subplots(1,2,figsize=(10,5))
|
|
|
|
out = M.plotImage(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.plotImage(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')
|
|
|
|
plt.show()
|
|
|
|
if __name__ == '__main__':
|
|
run()
|