Revision: 701
http://rpy.svn.sourceforge.net/rpy/?rev=701&view=rev
Author: lgautier
Date: 2008-11-23 08:12:45 +0000 (Sun, 23 Nov 2008)
Log Message:
-----------
Merging recent editing of the doc in trunk to version-2.0.x
Modified Paths:
--------------
rpy2/branches/version_2.0.x/doc/source/overview.rst
rpy2/branches/version_2.0.x/doc/source/robjects.rst
Property Changed:
----------------
rpy2/branches/version_2.0.x/doc/
Property changes on: rpy2/branches/version_2.0.x/doc
___________________________________________________________________
Added: svn:mergeinfo
+ /rpy2/trunk/doc:691-700
Modified: rpy2/branches/version_2.0.x/doc/source/overview.rst
===================================================================
--- rpy2/branches/version_2.0.x/doc/source/overview.rst 2008-11-22 21:06:58 UTC
(rev 700)
+++ rpy2/branches/version_2.0.x/doc/source/overview.rst 2008-11-23 08:12:45 UTC
(rev 701)
@@ -204,6 +204,9 @@
I have found great inspiration in reading that code.
JRI
- The Java-R Interface, and its authors, as answered to some
+ The Java-R Interface, and its authors, as answers to some
of the implementation questions were found there.
+Contributors
+ Their names are in Section Changes.
+
Modified: rpy2/branches/version_2.0.x/doc/source/robjects.rst
===================================================================
--- rpy2/branches/version_2.0.x/doc/source/robjects.rst 2008-11-22 21:06:58 UTC
(rev 700)
+++ rpy2/branches/version_2.0.x/doc/source/robjects.rst 2008-11-23 08:12:45 UTC
(rev 701)
@@ -316,6 +316,17 @@
Numpy
-----
+A popular solution for scientific computing with Python is :mod:`numpy`
+(previous instances were :mod:`Numpy` and :mod:`numarray`).
+
+:mod:`rpy2` has features for facilitating the integration with code using
+:mod:`numpy` in both directions: from `rpy2` to `numpy`, and from `numpy`
+to `rpy2`.
+
+
+From `rpy2` to `numpy`:
+^^^^^^^^^^^^^^^^^^^^^^^
+
Vectors can be converted to :mod:`numpy` arrays using
:meth:`array` or :meth:`asarray`::
@@ -326,6 +337,31 @@
Refer to the documentation for :class:`rinterface.SexpVector`
for further details.
+From `numpy` to `rpy2`:
+^^^^^^^^^^^^^^^^^^^^^^^
+
+The conversion of `numpy` objects to `rpy2` objects can be
+activated by importing the module :mod:`numpy2ri`::
+
+ import rpy2.robjects.numpy2ri
+
+That import alone is sufficient to switch an automatic conversion
+of `numpy` objects into `rpy2` objects.
+
+
+.. note::
+
+ Why make this an optional import, while it could have been included
+ in the function :func:`py2ri` (as done in the original patch
+ submitted for that function) ?
+
+ Although both are valid and reasonable options, the design decision
+ was taken in order to decouple `rpy2` from `numpy` the most, and
+ do not assume that having `numpy` installed automatically
+ meant that a programmer wanted to use it.
+
+
+
.. index::
pair: robjects;REnvironment
pair: robjects;globalEnv
@@ -555,12 +591,16 @@
is just an alias for the function :meth:`default_py2ri`.
:meth:`conversion.py2ro`
- Python to :mod:`rpy2.robjects`. That one function
- is merely a call to :meth:`py2ri` followed by a call to :meth:`ri2py`.
+ Python to :mod:`rpy2.robjects`. By default, that one function
+ is merely a call to :meth:`conversion.py2ri`
+ followed by a call to :meth:`conversion.ri2py`.
-Those functions can be modifyied to satisfy all requirements, with
+Those functions can be re-routed to satisfy all requirements, with
the easiest option being to write a custom function calling itself
-the default function.
+the default functions.
+
+Switching to `numpy`-to-`rpy2` is using this mechanism.
+
As an example, let's assume that one want to return atomic values
whenever an R numerical vector is of length one. This is only a matter
of writing a new function `ri2py` that handles this, as shown below:
@@ -584,7 +624,7 @@
<type 'float'>
>>>
-The default behavoir can be restored with:
+The default behavior can be restored with:
>>> robjects.conversion.ri2py = default_ri2py
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