Clean Up Documentation

docs/examples/mesh/plot_LogicallyOrthogonalMesh.py

@@ -1,7 +0,0 @@
-from SimPEG.mesh import LogicallyOrthogonalMesh
-from SimPEG import utils
-import matplotlib.pyplot as plt
-X, Y = utils.exampleLomGird([3,3],'rotate')
-M = LogicallyOrthogonalMesh([X, Y])
-M.plotGrid()
-plt.show()

docs/examples/mesh/plot_grid_2D.py

@@ -1,11 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from SimPEG.mesh import TensorMesh
-
-h1 = np.linspace(.1,.5,3)
-h2 = np.linspace(.1,.5,5)
-mesh = TensorMesh([h1, h2])
-mesh.plotGrid(nodes=True, faces=True, centers=True, lines=True)
-
-plt.show()
-

docs/examples/mesh/plot_grid_3D.py

@@ -1,12 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from SimPEG.mesh import TensorMesh
-
-h1 = np.linspace(.1,.5,3)
-h2 = np.linspace(.1,.5,5)
-h3 = np.linspace(.1,.5,3)
-mesh = TensorMesh([h1,h2,h3])
-mesh.plotGrid(nodes=True, faces=True, centers=True, lines=True)
-
-plt.show()
-

docs/examples/mesh/plot_image_2D.py

@@ -1,11 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from SimPEG.mesh import TensorMesh
-
-n = 20
-h = np.ones(n)/n
-M = TensorMesh([h, h])
-I = np.sin(M.gridCC[:,0]*2*np.pi)*np.sin(M.gridCC[:,1]*2*np.pi)
-M.plotImage(I)
-
-plt.show()

docs/examples/mesh/plot_image_3D.py

@@ -1,12 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from SimPEG.mesh import TensorMesh
-
-n = 20
-h = np.ones(n)/n
-M = TensorMesh([h,h,h])
-
-I = np.sin(M.gridCC[:,0]*2*np.pi)*np.sin(M.gridCC[:,1]*2*np.pi)*np.sin(M.gridCC[:,2]*2*np.pi)
-M.plotImage(I, annotationColor='k')
-
-plt.show()

docs/examples/mesh/plot_nodes.py

@@ -1,13 +0,0 @@
-import numpy as np
-import matplotlib.pyplot as plt
-from SimPEG.mesh import TensorMesh
-
-x0 = np.zeros(2)
-h1 = np.linspace(.1,.5,3)
-h2 = np.linspace(.1,.5,5)
-M = TensorMesh([h1,h2],x0)
-M.plotGrid()
-plt.hold()
-plt.plot(M.gridN[:,0], M.gridN[:,1], 'ks', markersize=10)
-plt.show()
-