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

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2 new commits in yt-doc:

https://bitbucket.org/yt_analysis/yt-doc/commits/e3f5ebb1460c/
Changeset:   e3f5ebb1460c
User:        brittonsmith
Date:        2013-05-26 16:16:33
Summary:     Updating light ray docs.
Affected #:  1 file

diff -r e51925933f472b148476b2e61cc5ff90f01f5713 -r e3f5ebb1460c9d47dd24be2d644cbe1125042001 source/analysis_modules/light_ray_generator.rst
--- a/source/analysis_modules/light_ray_generator.rst
+++ b/source/analysis_modules/light_ray_generator.rst
@@ -93,6 +93,9 @@
  * **nearest_halo_fields** (*list*): A list of fields to be calculated for the 
    halos nearest to every pixel in the ray.  Default: None.
 
+ * **halo_list_file** (*str*): Filename containing a list of halo properties to be used 
+   for getting the nearest halos to absorbers.  Default: None.
+
  * **halo_profiler_parameters** (*dict*): A dictionary of parameters to be 
    passed to the HaloProfiler to create the appropriate data used to get 
    properties for the nearest halos.  Default: None.


https://bitbucket.org/yt_analysis/yt-doc/commits/3c39d10238db/
Changeset:   3c39d10238db
User:        brittonsmith
Date:        2013-05-26 16:16:45
Summary:     Merged.
Affected #:  5 files

diff -r e3f5ebb1460c9d47dd24be2d644cbe1125042001 -r 3c39d10238dbb3780516d8263a3a9cc38efad59e source/advanced/parallel_computation.rst
--- a/source/advanced/parallel_computation.rst
+++ b/source/advanced/parallel_computation.rst
@@ -280,7 +280,9 @@
 
 You can also request a fixed number of processors to calculate each
 angular momentum vector.  For example, this script will calculate each angular
-momentum vector using a workgroup of four processors.
+momentum vector using 4 workgroups, splitting up the pool available processors.
+Note that parallel=1 implies that the analysis will be run using 1 workgroup, 
+whereas parallel=True will run with Nprocs workgroups.
 
 .. code-block:: python
 

diff -r e3f5ebb1460c9d47dd24be2d644cbe1125042001 -r 3c39d10238dbb3780516d8263a3a9cc38efad59e source/cookbook/complex_plots.rst
--- a/source/cookbook/complex_plots.rst
+++ b/source/cookbook/complex_plots.rst
@@ -98,6 +98,16 @@
 
 .. yt_cookbook:: contours_on_slice.py
 
+Simple Contours in a Slice
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Sometimes it is useful to plot just a few contours of a quantity in a
+dataset.  This shows how one does this by first making a slice, adding
+contours, and then hiding the colormap plot of the slice to leave the
+plot containing only the contours that one has added.
+
+.. yt_cookbook:: simple_contour_in_slice.py
+
 Styling Radial Profile Plots
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 

diff -r e3f5ebb1460c9d47dd24be2d644cbe1125042001 -r 3c39d10238dbb3780516d8263a3a9cc38efad59e source/cookbook/simple_contour_in_slice.py
--- /dev/null
+++ b/source/cookbook/simple_contour_in_slice.py
@@ -0,0 +1,29 @@
+from yt.mods import *
+
+# Load the data file.
+pf = load("Sedov_3d/sedov_hdf5_chk_0002")
+
+# Make a traditional slice plot.
+sp = SlicePlot(pf,"x","dens")
+
+# Overlay the slice plot with thick red contours of density.
+sp.annotate_contour("dens", ncont=3, clim=(1e-2,1e-1), label=True,
+                    plot_args={"colors": "red",
+                               "linewidths": 2})
+
+# What about some nice temperature contours in blue?
+sp.annotate_contour("temp", ncont=3, clim=(1e-8,1e-6), label=True,
+                    plot_args={"colors": "blue",
+                               "linewidths": 2})
+
+# This is the plot object.
+po = sp.plots["dens"]
+
+# Turn off the colormap image, leaving just the contours.
+po.axes.images[0].set_visible(False)
+
+# Remove the colorbar and its label.
+po.figure.delaxes(po.figure.axes[1])
+
+# Save it and ask for a close fit to get rid of the space used by the colorbar.
+sp.save(mpl_kwargs={'bbox_inches':'tight'})

diff -r e3f5ebb1460c9d47dd24be2d644cbe1125042001 -r 3c39d10238dbb3780516d8263a3a9cc38efad59e source/visualizing/volume_rendering.rst
--- a/source/visualizing/volume_rendering.rst
+++ b/source/visualizing/volume_rendering.rst
@@ -281,7 +281,7 @@
 
 This produces an image like this:
 
-.. image:: _images/vr_sample.jpg
+.. image:: _images/allsky.png
    :width: 512
 
 However, below we describe a longer, build-it-yourself method.  To actually

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

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