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authorMark Wiebe <mwwiebe@gmail.com>2011-07-31 09:24:03 -0500
committerCharles Harris <charlesr.harris@gmail.com>2011-08-27 07:26:49 -0600
commite73dd6a826ad1b0ccb0e1cbe4aacfeee644f390f (patch)
treead581430907b68654a3b5be8e01b16562ab6a342 /numpy/add_newdocs.py
parent61d45eee7d14336f14bae328eeb3536c6f0f2941 (diff)
downloadnumpy-e73dd6a826ad1b0ccb0e1cbe4aacfeee644f390f.tar.gz
ENH: missingdata: Progress towards supporting ufunc reduce with NA masks
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r--numpy/add_newdocs.py4
1 files changed, 3 insertions, 1 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index 65c9646eb..536cde9d1 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -1278,7 +1278,7 @@ add_newdoc('numpy.core.multiarray','correlate',
add_newdoc('numpy.core.multiarray', 'arange',
"""
- arange([start,] stop[, step,], dtype=None)
+ arange([start,] stop[, step,], dtype=None, maskna=False)
Return evenly spaced values within a given interval.
@@ -1307,6 +1307,8 @@ add_newdoc('numpy.core.multiarray', 'arange',
dtype : dtype
The type of the output array. If `dtype` is not given, infer the data
type from the other input arguments.
+ maskna : boolean
+ If this is true, the returned array will have an NA mask.
Returns
-------