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Documentation updates.
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+15
-7
@@ -21,15 +21,23 @@ class TensorView(object):
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Input:
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I - scalar field (np.array)
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:param numpy.array I: scalar field
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Optional Input:
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imageType - type of image ('CC','N','Fx','Fy','Fz','Ex','Ey','Ez')
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figNum - number of figure to plot to
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ax - axis to plot to
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direction - 3D only. slice dimensions
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numbering - 3D only. show numbering of slices
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:param str imageType: type of image ('CC','N','Fx','Fy','Fz','Ex','Ey','Ez')
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:param int figNum: number of figure to plot to
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:param matplotlib.axes.Axes ax: axis to plot to
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:param str direction: slice dimensions, 3D only ('x', 'y', 'z')
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:param bool numbering: show numbering of slices, 3D only
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:param str annotationColor: color of annotation, e.g. 'w', 'k', 'b'
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:param bool showIt: call plt.show()
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.. plot:: examples/mesh/plot_image_2D.py
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:include-source:
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.. plot:: examples/mesh/plot_image_3D.py
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:include-source:
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"""
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assert type(I) == np.ndarray, "I must be a numpy array"
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assert type(numbering) == bool, "numbering must be a bool"
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@@ -154,6 +162,7 @@ class TensorView(object):
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gyY = np.c_[gy, gy, gy+np.nan].ravel()
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ax.plot(gxX, gxY, annotationColor+'-', linewidth=2)
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ax.plot(gyX, gyY, annotationColor+'-', linewidth=2)
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ax.axis('tight')
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if numbering:
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pad = np.sum(self.hx)*0.04
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@@ -170,7 +179,6 @@ class TensorView(object):
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def plotGrid(self, showIt=False):
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"""Plot the nodal, cell-centered and staggered grids for 1,2 and 3 dimensions.
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.. plot:: examples/mesh/plot_grid_2D.py
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:include-source:
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@@ -0,0 +1,8 @@
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.. _api_DiffOperators:
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Differential Operators
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**********************
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.. automodule:: SimPEG.DiffOperators
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:members:
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:undoc-members:
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@@ -0,0 +1,8 @@
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.. _api_GaussNewton:
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Gauss Newton
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************
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.. automodule:: SimPEG.GaussNewton
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:members:
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:undoc-members:
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@@ -0,0 +1,8 @@
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.. _api_InnerProducts:
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Inner Products
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**************
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.. automodule:: SimPEG.InnerProducts
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:members:
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:undoc-members:
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@@ -0,0 +1,8 @@
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.. _api_LOMView:
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LOM View
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***********
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.. automodule:: SimPEG.LOMView
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:members:
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:undoc-members:
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@@ -0,0 +1,8 @@
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.. _api_LogicallyOrthogonalMesh:
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Logically Orthogonal Mesh
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*************************
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.. automodule:: SimPEG.LogicallyOrthogonalMesh
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:members:
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:undoc-members:
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@@ -0,0 +1,8 @@
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.. _api_TensorView:
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Tensor View
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***********
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.. automodule:: SimPEG.TensorView
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:members:
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:undoc-members:
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@@ -0,0 +1,11 @@
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import numpy as np
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import matplotlib.pyplot as plt
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from SimPEG import TensorMesh
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n = 20
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h = np.ones(n)/n
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M = TensorMesh([h, h])
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I = np.sin(M.gridCC[:,0]*2*np.pi)*np.sin(M.gridCC[:,1]*2*np.pi)
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M.plotImage(I)
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plt.show()
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@@ -0,0 +1,12 @@
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import numpy as np
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import matplotlib.pyplot as plt
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from SimPEG import TensorMesh
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n = 20
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h = np.ones(n)/n
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M = TensorMesh([h,h,h])
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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)
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M.plotImage(I, annotationColor='k')
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plt.show()
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@@ -0,0 +1,13 @@
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import numpy as np
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import matplotlib.pyplot as plt
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from SimPEG import TensorMesh
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x0 = np.zeros(2)
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h1 = np.linspace(.1,.5,3)
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h2 = np.linspace(.1,.5,5)
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M = TensorMesh([h1,h2],x0)
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M.plotGrid()
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plt.hold()
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plt.plot(M.gridN[:,0], M.gridN[:,1], 'ks', markersize=10)
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plt.show()
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+21
-2
@@ -16,8 +16,8 @@ The vision is to create a package for finite volume simulation with applications
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* supports 2D and 3D problems
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Contents
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========
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Meshing & Operators
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===================
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.. toctree::
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:maxdepth: 2
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@@ -25,6 +25,25 @@ Contents
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api_BaseMesh
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api_TensorMesh
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api_TensorView
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api_LogicallyOrthogonalMesh
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api_LomView
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api_DiffOperators
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api_InnerProducts
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Inversion
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=========
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.. toctree::
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:maxdepth: 2
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api_GaussNewton
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Example Problems
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================
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.. toctree::
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:maxdepth: 2
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Project Index & Search
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