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author | Nathaniel J. Smith <njs@pobox.com> | 2012-10-01 17:36:01 +0100 |
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committer | Nathaniel J. Smith <njs@pobox.com> | 2012-10-01 17:36:01 +0100 |
commit | 1a71edc55b227e590022d402e5b6558d3a9921f1 (patch) | |
tree | aebff885c98c49db41eebf18d718d6e9840d0536 /numpy/add_newdocs.py | |
parent | e18e7441700db0ff2fd8f51901aa416c63e35cbc (diff) | |
download | numpy-1a71edc55b227e590022d402e5b6558d3a9921f1.tar.gz |
[FIX] preserve memory order in np.copy()
This switches us back to the behaviour seen in numpy 1.6 and earlier,
which it turns out that scikit-learn (and probably others) relied on.
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r-- | numpy/add_newdocs.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 20da8ea8b..09effaaf5 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -3222,10 +3222,13 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('copy', Controls the memory layout of the copy. 'C' means C-order, 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, 'C' otherwise. 'K' means match the layout of `a` as closely - as possible. + as possible. (Note that this function and :func:numpy.copy are very + similar, but have different default values for their order= + arguments.) See also -------- + numpy.copy numpy.copyto Examples |