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

Bitbucket commits-noreply at bitbucket.org
Tue Jul 31 11:09:49 PDT 2012


2 new commits in yt-doc:


https://bitbucket.org/yt_analysis/yt-doc/changeset/a4fc9e5a1b8c/
changeset:   a4fc9e5a1b8c
user:        MatthewTurk
date:        2012-07-31 20:08:11
summary:     A few notes about using the IPython notebook.
affected #:  2 files

diff -r e852b412b638afb17b22dbf2b50ce8a2960f7eef -r a4fc9e5a1b8c54fa103dcca791e9666d022f2e07 source/interacting/index.rst
--- a/source/interacting/index.rst
+++ b/source/interacting/index.rst
@@ -11,6 +11,7 @@
 
    scripts
    interactive_prompt
+   ipython_notebook
    command-line
    reason
    mapserver


diff -r e852b412b638afb17b22dbf2b50ce8a2960f7eef -r a4fc9e5a1b8c54fa103dcca791e9666d022f2e07 source/interacting/ipython_notebook.rst
--- /dev/null
+++ b/source/interacting/ipython_notebook.rst
@@ -0,0 +1,33 @@
+IPython Notebook
+================
+
+Starting with 2.4, yt ships with several functions and helpers to display
+information in the IPython web notebook.
+
+.. note:: The IPython necessary dependencies (0MQ, Py0MQ, Tornado and IPython)
+          come with the yt install script.  However, you should read in detail
+          the `IPython documentation
+          <http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html>`__
+          for how to use it.
+
+A sample notebook, demonstrating some of the functionality of both yt 2.4 and
+the IPython notebook (as exposed through yt) can be found at
+http://yt-project.org/files/yt24demo.ipynb .
+
+There are two main things that yt exposes to the IPython notebook: displaying
+PlotWindow objects and displaying Volume Renderings.  Both of these are exposed
+through the ``show`` method.  For instance:
+
+.. code-block:: python
+
+   slc = SlicePlot(pf, "x", "Density")
+   slc.show()
+
+Or with a volume rendering, call ``show`` on the camera:
+
+.. code-block:: python
+
+   cam = pf.h.camera([0.5, 0.5, 0.5], [0.2, 0.3, 0.4], 0.10, 1024, tf)
+   cam.show()
+
+In both of these cases, an image will appear in the cell output.



https://bitbucket.org/yt_analysis/yt-doc/changeset/51f8f9525e64/
changeset:   51f8f9525e64
user:        ngoldbaum
date:        2012-07-31 20:09:49
summary:     Merged in MatthewTurk/yt-doc (pull request #47)
affected #:  2 files

diff -r a0534304d7e01466bb0c4aee1b83d72669567f35 -r 51f8f9525e6447418a81467e03c2d3a7865308fd source/interacting/index.rst
--- a/source/interacting/index.rst
+++ b/source/interacting/index.rst
@@ -11,6 +11,7 @@
 
    scripts
    interactive_prompt
+   ipython_notebook
    command-line
    reason
    mapserver


diff -r a0534304d7e01466bb0c4aee1b83d72669567f35 -r 51f8f9525e6447418a81467e03c2d3a7865308fd source/interacting/ipython_notebook.rst
--- /dev/null
+++ b/source/interacting/ipython_notebook.rst
@@ -0,0 +1,33 @@
+IPython Notebook
+================
+
+Starting with 2.4, yt ships with several functions and helpers to display
+information in the IPython web notebook.
+
+.. note:: The IPython necessary dependencies (0MQ, Py0MQ, Tornado and IPython)
+          come with the yt install script.  However, you should read in detail
+          the `IPython documentation
+          <http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html>`__
+          for how to use it.
+
+A sample notebook, demonstrating some of the functionality of both yt 2.4 and
+the IPython notebook (as exposed through yt) can be found at
+http://yt-project.org/files/yt24demo.ipynb .
+
+There are two main things that yt exposes to the IPython notebook: displaying
+PlotWindow objects and displaying Volume Renderings.  Both of these are exposed
+through the ``show`` method.  For instance:
+
+.. code-block:: python
+
+   slc = SlicePlot(pf, "x", "Density")
+   slc.show()
+
+Or with a volume rendering, call ``show`` on the camera:
+
+.. code-block:: python
+
+   cam = pf.h.camera([0.5, 0.5, 0.5], [0.2, 0.3, 0.4], 0.10, 1024, tf)
+   cam.show()
+
+In both of these cases, an image will appear in the cell output.

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

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