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

[commits-noreply at bitbucket.org]

2 new commits in yt:

https://bitbucket.org/yt_analysis/yt/commits/1776d5b97e9a/
Changeset:   1776d5b97e9a
Branch:      yt-3.0
User:        xarthisius
Date:        2014-07-25 13:45:04
Summary:     fix typo
Affected #:  1 file

diff -r a95aa1d4270cfc4264ff02f7bcf552bfe4aaa50f -r 1776d5b97e9a3558a90095b3e882c086a32f5d75 doc/source/examining/generic_particle_data.rst
--- a/doc/source/examining/generic_particle_data.rst
+++ b/doc/source/examining/generic_particle_data.rst
@@ -1,4 +1,4 @@
-.. _genertic-particle-data:
+.. _generic-particle-data:
 
 Loading Generic Particle Data
 -----------------------------


https://bitbucket.org/yt_analysis/yt/commits/d13ab03ca0f7/
Changeset:   d13ab03ca0f7
Branch:      yt-3.0
User:        xarthisius
Date:        2014-07-25 13:45:23
Summary:     fix method references
Affected #:  1 file

diff -r 1776d5b97e9a3558a90095b3e882c086a32f5d75 -r d13ab03ca0f7ba973ee867b0cacfc434360d61ba doc/source/examining/loading_data.rst
--- a/doc/source/examining/loading_data.rst
+++ b/doc/source/examining/loading_data.rst
@@ -830,7 +830,7 @@
 ------------------
 
 See :ref:`loading-numpy-array` and
-:ref:`~yt.frontends.stream.data_structures.load_uniform_grid` for more detail.
+:meth:`~yt.frontends.stream.data_structures.load_uniform_grid` for more detail.
 
 Even if your data is not strictly related to fields commonly used in
 astrophysical codes or your code is not supported yet, you can still feed it to
@@ -884,7 +884,7 @@
 ----------------
 
 See :ref:`loading-numpy-array` and
-:ref:`~yt.frontends.sph.data_structures.load_amr_grids` for more detail.
+:meth:`~yt.frontends.sph.data_structures.load_amr_grids` for more detail.
 
 It is possible to create native ``yt`` dataset from Python's dictionary
 that describes set of rectangular patches of data of possibly varying
@@ -937,7 +937,7 @@
 ---------------------
 
 See :ref:`generic-particle-data` and
-:ref:`~yt.frontends.stream.data_structures.load_particles` for more detail.
+:meth:`~yt.frontends.stream.data_structures.load_particles` for more detail.
 
 You can also load generic particle data using the same ``stream`` functionality
 discussed above to load in-memory grid data.  For example, if your particle

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

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