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| author | Mark Wiebe <mwwiebe@gmail.com> | 2011-08-22 22:27:01 -0700 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-08-27 07:26:59 -0600 |
| commit | 9ca27aecb17baee83a58d61507250d9aaa5ca34c (patch) | |
| tree | f3855e8a7cfb447b06e4bac037ab8a43c404a7b6 /doc | |
| parent | c8c262a1be42c3989994bdc557c7b25e22d80d83 (diff) | |
| download | numpy-9ca27aecb17baee83a58d61507250d9aaa5ca34c.tar.gz | |
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.
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/2.0.0-notes.rst | 5 |
1 files changed, 3 insertions, 2 deletions
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) |