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| author | Mark Wiebe <mwwiebe@gmail.com> | 2011-08-18 14:01:08 -0700 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-08-27 07:26:56 -0600 |
| commit | f45fd67fe8eefc8fd2e4b914ab4e376ab5226887 (patch) | |
| tree | 92d7cf3b844b216f23e163c6d4a26b1ab7da4922 /doc | |
| parent | 73be11db794d115a7d9bd2e822c0d8008bc14a28 (diff) | |
| download | numpy-f45fd67fe8eefc8fd2e4b914ab4e376ab5226887.tar.gz | |
DOC: Small tweak to release notes
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/2.0.0-notes.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/release/2.0.0-notes.rst b/doc/release/2.0.0-notes.rst index 40ad029f0..f4640dfc6 100644 --- a/doc/release/2.0.0-notes.rst +++ b/doc/release/2.0.0-notes.rst @@ -18,8 +18,8 @@ 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 a list of things -that do and do not work with NA values: +support NA masks, not everything is yet supported. Here is an (incomplete) +list of things that do and do not work with NA values: What works with NA: * Basic indexing and slicing, as well as full boolean mask indexing. |