From 9ca27aecb17baee83a58d61507250d9aaa5ca34c Mon Sep 17 00:00:00 2001 From: Mark Wiebe Date: Mon, 22 Aug 2011 22:27:01 -0700 Subject: ENH: missingdata: Add wheremask to PyArray_ContainsNA Use this to make masked assignment just check the elements its copying for NA, so that the source array can have NAs, just not where the mask says. --- doc/release/2.0.0-notes.rst | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) (limited to 'doc/release') diff --git a/doc/release/2.0.0-notes.rst b/doc/release/2.0.0-notes.rst index e8e3ae4c5..d1ebd1b75 100644 --- a/doc/release/2.0.0-notes.rst +++ b/doc/release/2.0.0-notes.rst @@ -14,8 +14,9 @@ New features Mask-based NA missing values ---------------------------- -Support for NA missing values similar to those in R has been implemented. -This was done by adding optional NA masks to the core array object. +Preliminary support for NA missing values similar to those in R has +been implemented. This was done by adding optional NA masks to the core +array object. While a significant amount of the NumPy functionality has been extended to support NA masks, not everything is yet supported. Here is an (incomplete) -- cgit v1.2.1