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| author | Mark Wiebe <mwiebe@enthought.com> | 2011-07-29 17:57:46 -0500 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-08-27 07:26:49 -0600 |
| commit | c626f19a54624b3b66a1a7d77ef1ec90c1ff27cf (patch) | |
| tree | fb9e6e1960fd4ff5c41516b151d0b017d48b3432 /numpy/add_newdocs.py | |
| parent | aef8779c2f05327aa3c247222d0ef47532fadc39 (diff) | |
| download | numpy-c626f19a54624b3b66a1a7d77ef1ec90c1ff27cf.tar.gz | |
ENH: missingdata: Fill in buffered NAMASK nditer, add maskna= to zeros, empty, and empty_like
Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 1a3f9e461..65c9646eb 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -736,6 +736,8 @@ add_newdoc('numpy.core.multiarray', 'empty', order : {'C', 'F'}, optional Whether to store multi-dimensional data in C (row-major) or Fortran (column-major) order in memory. + maskna : boolean + If this is true, the returned array will have an NA mask. See Also -------- |