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| author | Mark Wiebe <mwiebe@enthought.com> | 2011-07-06 10:28:57 -0500 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-07-06 16:24:13 -0600 |
| commit | e76ddf9d16ad52f4fa054a900541f43e13e8f6e9 (patch) | |
| tree | bffcc62241ccc931b73c668660ef3bcfea18b077 | |
| parent | a9be5a1a2e753c52db36f1ae678115fcf046d8a4 (diff) | |
| download | numpy-e76ddf9d16ad52f4fa054a900541f43e13e8f6e9.tar.gz | |
NEP: missing-data: Add numpy.ma to the glossary
| -rw-r--r-- | doc/neps/missing-data.rst | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/doc/neps/missing-data.rst b/doc/neps/missing-data.rst index 2056d3661..cefd0a9d0 100644 --- a/doc/neps/missing-data.rst +++ b/doc/neps/missing-data.rst @@ -190,6 +190,10 @@ mask boolean or enum array parallel to the data array is used to signal which elements are NA or IGNORE. +numpy.ma + The existing implementation of a particular form of masked arrays, + which is part of the NumPy codebase. + ******************************** Missing Values as Seen in Python ******************************** @@ -602,7 +606,7 @@ value algorithms easier. Hard Masks ========== -The existing masked array implementation has a "hardmask" feature, +The numpy.ma implementation has a "hardmask" feature, which prevents values from ever being unmasked by assigning a value. This would be an internal array flag, named something like 'arr.flags.hardmask'. |