From 676bb3656551d293a677da7fdf590f9110e1a54e Mon Sep 17 00:00:00 2001 From: Phillip Cloud Date: Sun, 29 Sep 2013 00:47:31 -0400 Subject: [PATCH] DOC: make experimental functionality more visible in release notes --- doc/source/release.rst | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/doc/source/release.rst b/doc/source/release.rst index 66c3dcd203a6a..1f0e447429d6a 100644 --- a/doc/source/release.rst +++ b/doc/source/release.rst @@ -60,6 +60,21 @@ New features - Clipboard functionality now works with PySide (:issue:`4282`) - New ``extract`` string method returns regex matches more conveniently (:issue:`4685`) +Experimental Features +~~~~~~~~~~~~~~~~~~~~~ + +- The new :func:`~pandas.eval` function implements expression evaluation using + ``numexpr`` behind the scenes. This results in large speedups for complicated + expressions involving large DataFrames/Series. +- :class:`~pandas.DataFrame` has a new :meth:`~pandas.DataFrame.eval` that + evaluates an expression in the context of the ``DataFrame``. +- A :meth:`~pandas.DataFrame.query` method has been added that allows + you to select elements of a ``DataFrame`` using a natural query syntax nearly + identical to Python syntax. +- ``pd.eval`` and friends now evaluate operations involving ``datetime64`` + objects in Python space because ``numexpr`` cannot handle ``NaT`` values + (:issue:`4897`). + Improvements to existing features ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -327,21 +342,6 @@ See :ref:`Internal Refactoring` - Complex compat for ``Series`` with ``ndarray``. (:issue:`4819`) - Removed unnecessary ``rwproperty`` from codebase in favor of builtin property. (:issue:`4843`) -Experimental Features -~~~~~~~~~~~~~~~~~~~~~ - -- The new :func:`~pandas.eval` function implements expression evaluation using - ``numexpr`` behind the scenes. This results in large speedups for complicated - expressions involving large DataFrames/Series. -- :class:`~pandas.DataFrame` has a new :meth:`~pandas.DataFrame.eval` that - evaluates an expression in the context of the ``DataFrame``. -- A :meth:`~pandas.DataFrame.query` method has been added that allows - you to select elements of a ``DataFrame`` using a natural query syntax nearly - identical to Python syntax. -- ``pd.eval`` and friends now evaluate operations involving ``datetime64`` - objects in Python space because ``numexpr`` cannot handle ``NaT`` values - (:issue:`4897`). - .. _release.bug_fixes-0.13.0: