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author | Ralf Gommers <ralf.gommers@googlemail.com> | 2012-03-25 14:44:23 +0200 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2012-03-30 05:41:00 -0600 |
commit | 41f7d21182fddbc71b2100fdb3425a5e7e2f35b6 (patch) | |
tree | 8832edb9727821436916611d456828a8c612a520 /doc/source | |
parent | f84ac77e50456191a2574913494d1e5ce5a4d92b (diff) | |
download | numpy-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.
Diffstat (limited to 'doc/source')
-rw-r--r-- | doc/source/reference/arrays.maskna.rst | 5 |
1 files changed, 5 insertions, 0 deletions
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 ============================= |