Added example of plotting the grid for a Lom

SimPEG/InnerProducts.py

@@ -12,20 +12,12 @@ class InnerProducts(object):
         raise Exception('InnerProducts is a base class providing inner product matrices for meshes and cannot run on its own. Inherit to your favorite Mesh class.')
 
     def getFaceInnerProduct(self, mu=None, returnP=False):
-        if self._meshType == 'TENSOR':
-            pass
-        elif self._meshType == 'LOM':
-            pass  # todo: we should be doing something slightly different here!
         if self.dim == 2:
             return getFaceInnerProduct2D(self, mu, returnP)
         elif self.dim == 3:
             return getFaceInnerProduct(self, mu, returnP)
 
     def getEdgeInnerProduct(self, sigma=None, returnP=False):
-        if self._meshType == 'TENSOR':
-            pass
-        elif self._meshType == 'LOM':
-            pass  # todo: we should be doing something slightly different here!
         if self.dim == 2:
             return getEdgeInnerProduct2D(self, sigma, returnP)
         elif self.dim == 3:
@@ -154,17 +146,10 @@ def getFaceInnerProduct2D(mesh, mu=None, returnP=False):
         PXX = sp.coo_matrix((np.ones(2*nc), (range(2*nc), IND)), shape=(2*nc, np.sum(mesh.nF))).tocsr()
 
         if mesh._meshType == 'LOM':
-            # print fN1[0].shape
-            # print fN2[0].shape
-            # print np.c_[i+pos[0][0],j+pos[0][1],i+pos[1][0],j+pos[1][1]]
-            # print fN1[1].shape
             I2x2 = inv2X2BlockDiagonal(getSubArray(fN1[0], [i + pos[0][0], j + pos[0][1]]), getSubArray(fN1[1], [i + pos[0][0], j + pos[0][1]]),
                                        getSubArray(fN2[0], [i + pos[1][0], j + pos[1][1]]), getSubArray(fN2[1], [i + pos[1][0], j + pos[1][1]]))
             PXX = I2x2 * PXX
 
-        # import matplotlib.pyplot as plt
-        # plt.spy(PXX)
-        # plt.show()
         return PXX
 
     # no | node      | f1     | f2

notebooks/exLomPlots.ipynb

@@ -0,0 +1,120 @@
+{
+ "metadata": {
+  "name": "exLomPlots"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import sys\n",
+      "sys.path.append('../')\n",
+      "\n",
+      "import numpy as np\n",
+      "import matplotlib.pyplot as plt\n",
+      "from SimPEG import LogicallyOrthogonalMesh, utils, exampleLomGird\n",
+      "mkvc = utils.mkvc"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 38
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "## Test 2D Plots\n",
+      "\n",
+      "For 2D nodal or cell-centered plots are supported.\n"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "X, Y = exampleLomGird([3,3],'rotate')\n",
+      "M = LogicallyOrthogonalMesh([X, Y])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 39
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "M.plotGrid()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "display_data",
+       "png": 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truncated
+       "text": [
+        "<matplotlib.figure.Figure at 0x10f20bdd0>"
+       ]
+      }
+     ],
+     "prompt_number": 40
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "## Test 3D Plots\n",
+      "\n",
+      "Plot x, y, and z coordinates of cell-centred points"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "X, Y, Z = exampleLomGird([3,3,3],'rotate')\n",
+      "M = LogicallyOrthogonalMesh([X, Y, Z])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 41
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "M.plotGrid()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "display_data",
+       "png": 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truncated
+       "text": [
+        "<matplotlib.figure.Figure at 0x10c9d91d0>"
+       ]
+      }
+     ],
+     "prompt_number": 42
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 42
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}