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authorRalf Gommers <ralf.gommers@googlemail.com>2012-03-25 14:44:23 +0200
committerCharles Harris <charlesr.harris@gmail.com>2012-03-30 05:41:00 -0600
commit41f7d21182fddbc71b2100fdb3425a5e7e2f35b6 (patch)
tree8832edb9727821436916611d456828a8c612a520 /doc/source
parentf84ac77e50456191a2574913494d1e5ce5a4d92b (diff)
downloadnumpy-41f7d21182fddbc71b2100fdb3425a5e7e2f35b6.tar.gz
DOC: label the current NA implementation as experimental in 1.7.x
This has been extensively discussed on the mailing list. See #2072.
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diff --git a/doc/source/reference/arrays.maskna.rst b/doc/source/reference/arrays.maskna.rst
index 2faabde83..bd9516eba 100644
--- a/doc/source/reference/arrays.maskna.rst
+++ b/doc/source/reference/arrays.maskna.rst
@@ -14,6 +14,11 @@ core ndarray. This system is highly flexible, allowing NAs to be used
with any underlying dtype, and supports creating multiple views of the same
data with different choices of NAs.
+.. note:: The NA API is *experimental*, and may undergo changes in future
+ versions of NumPy. The current implementation based on masks will likely be
+ supplemented by a second one based on bit-patterns, and it is possible that
+ a difference will be made between missing and ignored data.
+
Other Missing Data Approaches
=============================