[yt-svn] commit/yt: 2 new changesets

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2 new commits in yt:

https://bitbucket.org/yt_analysis/yt/commits/bba192a786fa/
Changeset:   bba192a786fa
Branch:      yt-3.0
User:        pshriwise
Date:        2014-07-23 06:02:41
Summary:     Added a section for loading PyNE meshes in the docs.
Affected #:  1 file

diff -r 195a97ccfda7bd7f4dfd6eb870927918fd9e1778 -r bba192a786fa04b6524c84903cbd78b2237f1dee doc/source/examining/loading_data.rst
--- a/doc/source/examining/loading_data.rst
+++ b/doc/source/examining/loading_data.rst
@@ -795,6 +795,47 @@
 PyNE Data
 ---------
 
+`PyNE <http://pyne.io/>`_ meshes are supported by yt and cared for by Anthony Scopatz and Elliot Biondo. 
+PyNE meshes are based on faceted geometried contained in hdf5 files (sufix ".h5m").
+
+To load a pyne mesh:
+
+.. code-block:: python
+
+  from pyne.mesh import Mesh
+  from pyne.dagmc import load, discretize_geom
+
+  from yt.config import ytcfg; ytcfg["yt","suppressStreamLogging"] = "True"
+  from yt.frontends.moab.api import PyneMoabHex8StaticOutput
+  from yt.visualization.plot_window import SlicePlot
+
+  load("faceted_file.h5m")
+  
+Set up parameters for the mesh:
+
+.. code-block:: python
+
+  num_divisions = 50
+  coords0 = linspace(-6, 6, num_divisions)
+  coords1 = linspace(0, 7, num_divisions)
+  coords2 = linspace(-4, 4, num_divisions)
+
+Generate the mesh and convert to a yt object using PyneHex8StaticOutput:
+
+.. code-block:: python 
+
+  m = Mesh(structured=True, structured_coords=[coords0, coords1, coords2], structured_ordering='zyx')
+  pf = PyneMoabHex8StaticOutput(m)
+
+The field (tag) data on the mesh can then be viewed just like any other yt dataset!
+
+.. code-block:: python 
+
+  s = SlicePlot(pf, 'z', 'density')
+  s.display()
+
+  
+
 Generic Array Data
 ------------------
 


https://bitbucket.org/yt_analysis/yt/commits/b70f587ed650/
Changeset:   b70f587ed650
Branch:      yt-3.0
User:        pshriwise
Date:        2014-07-23 16:34:02
Summary:     Alterations to PyNE documentation for loading data.
Affected #:  1 file

diff -r bba192a786fa04b6524c84903cbd78b2237f1dee -r b70f587ed6507a571e1a580d86e3b848a4f40a22 doc/source/examining/loading_data.rst
--- a/doc/source/examining/loading_data.rst
+++ b/doc/source/examining/loading_data.rst
@@ -795,15 +795,16 @@
 PyNE Data
 ---------
 
-`PyNE <http://pyne.io/>`_ meshes are supported by yt and cared for by Anthony Scopatz and Elliot Biondo. 
-PyNE meshes are based on faceted geometried contained in hdf5 files (sufix ".h5m").
+`PyNE <http://pyne.io/>`_ Hex8 meshes are supported by yt and cared for by the PyNE development team
+(`pyne-dev at googlegroups.com <pyne-dev%40googlegroups.com>`_). 
+PyNE meshes are based on faceted geometries contained in hdf5 files (suffix ".h5m").
 
 To load a pyne mesh:
 
 .. code-block:: python
 
   from pyne.mesh import Mesh
-  from pyne.dagmc import load, discretize_geom
+  from pyne.dagmc import load
 
   from yt.config import ytcfg; ytcfg["yt","suppressStreamLogging"] = "True"
   from yt.frontends.moab.api import PyneMoabHex8StaticOutput
@@ -820,21 +821,20 @@
   coords1 = linspace(0, 7, num_divisions)
   coords2 = linspace(-4, 4, num_divisions)
 
-Generate the mesh and convert to a yt object using PyneHex8StaticOutput:
+Generate the Hex8 mesh and convert to a yt dataset using PyneHex8StaticOutput:
 
 .. code-block:: python 
 
   m = Mesh(structured=True, structured_coords=[coords0, coords1, coords2], structured_ordering='zyx')
   pf = PyneMoabHex8StaticOutput(m)
 
-The field (tag) data on the mesh can then be viewed just like any other yt dataset!
+Any field (tag) data on the mesh can then be viewed just like any other yt dataset!
 
 .. code-block:: python 
 
   s = SlicePlot(pf, 'z', 'density')
   s.display()
 
-  
 
 Generic Array Data
 ------------------

Repository URL: https://bitbucket.org/yt_analysis/yt/

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