updated the notebook and minor bug fixes in utils

SimPEG/TensorMesh.py

@@ -8,21 +8,21 @@ from utils import ndgrid, mkvc
 
 class TensorMesh(BaseMesh, TensorView, DiffOperators, InnerProducts):
     """
-TensorMesh is a mesh class that deals with tensor product meshes.
+    TensorMesh is a mesh class that deals with tensor product meshes.
 
-Any Mesh that has a constant width along the entire axis
-such that it can defined by a single width vector, called 'h'.
+    Any Mesh that has a constant width along the entire axis
+    such that it can defined by a single width vector, called 'h'.
 
-::
+    ::
 
-    hx = np.array([1,1,1])
-    hy = np.array([1,2])
-    hz = np.array([1,1,1,1])
+        hx = np.array([1,1,1])
+        hy = np.array([1,2])
+        hz = np.array([1,1,1,1])
 
-    mesh = TensorMesh([hx, hy, hz])
+        mesh = TensorMesh([hx, hy, hz])
 
-.. math::
-    x^2 = 5
+    .. math::
+        x^2 = 5
 
     """
     _meshType = 'TENSOR'

SimPEG/utils/lomutils.py

@@ -1,6 +1,6 @@
 import numpy as np
 from scipy import sparse as sp
-from utils import mkvc, ndgrid, sub2ind
+from matutils import mkvc, ndgrid, sub2ind
 from sputils import sdiag
 
 

SimPEG/utils/sputils.py

@@ -1,5 +1,5 @@
 from scipy import sparse as sp
-from utils import mkvc
+from matutils import mkvc
 
 
 def sdiag(h):

notebooks/exPlotImage2D.ipynb

@@ -30,7 +30,7 @@
        ]
       }
      ],
-     "prompt_number": 17
+     "prompt_number": 1
     },
     {
      "cell_type": "markdown",
@@ -52,7 +52,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 18
+     "prompt_number": 2
     },
     {
      "cell_type": "code",
@@ -71,21 +71,21 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
+       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10f27cf10>"
+        "<matplotlib.figure.Figure at 0x10c1e9910>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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truncated
+       "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10f51c910>"
+        "<matplotlib.figure.Figure at 0x10dd96ed0>"
        ]
       }
      ],
-     "prompt_number": 19
+     "prompt_number": 3
     },
     {
      "cell_type": "markdown",
@@ -108,7 +108,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 20
+     "prompt_number": 4
     },
     {
      "cell_type": "code",
@@ -130,7 +130,7 @@
        "output_type": "display_data",
        "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10cbb52d0>"
+        "<matplotlib.figure.Figure at 0x10ddc1ad0>"
        ]
       },
       {
@@ -138,19 +138,19 @@
        "output_type": "display_data",
        "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10f8ca8d0>"
+        "<matplotlib.figure.Figure at 0x10df9cf50>"
        ]
       },
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 21,
+       "prompt_number": 5,
        "text": [
-        "<matplotlib.collections.QuadMesh at 0x10e09c750>"
+        "<matplotlib.collections.QuadMesh at 0x10dfc4f50>"
        ]
       }
      ],
-     "prompt_number": 21
+     "prompt_number": 5
     },
     {
      "cell_type": "markdown",
@@ -174,7 +174,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 22
+     "prompt_number": 6
     },
     {
      "cell_type": "code",
@@ -198,7 +198,7 @@
        "output_type": "display_data",
        "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10e0916d0>"
+        "<matplotlib.figure.Figure at 0x10dfd5c50>"
        ]
       },
       {
@@ -206,7 +206,7 @@
        "output_type": "display_data",
        "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10fe8fb90>"
+        "<matplotlib.figure.Figure at 0x10dfa5990>"
        ]
       },
       {
@@ -214,28 +214,19 @@
        "output_type": "display_data",
        "png": 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truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x10cae5410>"
+        "<matplotlib.figure.Figure at 0x10f09be50>"
        ]
       },
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 23,
+       "prompt_number": 7,
        "text": [
-        "<matplotlib.collections.QuadMesh at 0x10e7ca410>"
+        "<matplotlib.collections.QuadMesh at 0x10f2d2a90>"
        ]
       }
      ],
-     "prompt_number": 23
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 23
+     "prompt_number": 7
     }
    ],
    "metadata": {}