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| author | Mark Wiebe <mwwiebe@gmail.com> | 2011-08-26 13:35:20 -0700 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-08-27 07:27:02 -0600 |
| commit | f818910471ac900bd2a440ee35ded10756af5dad (patch) | |
| tree | a181d9989e5d7a277448d26a9d2f7ecf592763ff /doc/source | |
| parent | e4a1c55ea488cad7af3556c336be68f7d7ff02ff (diff) | |
| download | numpy-f818910471ac900bd2a440ee35ded10756af5dad.tar.gz | |
DOC: missingdata: Add a mention of the design NEP, and masks vs bitpatterns
Diffstat (limited to 'doc/source')
| -rw-r--r-- | doc/source/reference/arrays.maskna.rst | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/doc/source/reference/arrays.maskna.rst b/doc/source/reference/arrays.maskna.rst index 152240bf0..29b38f131 100644 --- a/doc/source/reference/arrays.maskna.rst +++ b/doc/source/reference/arrays.maskna.rst @@ -291,3 +291,11 @@ release should be possible without changing existing API functions in any way. To see a more complete list of what is supported and unsupported in the 1.7 release of NumPy, please refer to the release notes. + +During the design phase of this feature, two implementation approaches +for NA values were discussed, called "mask" and "bitpattern". What +has been implemented is the "mask" approach, but the design document, +or "NEP", describes a way both approaches could co-operatively exist +in NumPy, since each has both pros and cons. This design document is +available in the file "doc/neps/missing-data.rst" of the NumPy source +code. |