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authorCharles Harris <charlesr.harris@gmail.com>2017-02-12 11:43:39 -0700
committerCharles Harris <charlesr.harris@gmail.com>2017-02-12 11:43:39 -0700
commitd9d266ada4d90fb87b61773bb760e8e7e5bb6ba9 (patch)
tree93dbb4f557b3220b750178f2e0ff489c87b8a960 /doc
parenta9d694168eedc6fb433688d2265de4e196ed87d5 (diff)
downloadnumpy-d9d266ada4d90fb87b61773bb760e8e7e5bb6ba9.tar.gz
Revert "BUG: make np.squeeze always return an array, never a scalar"
This reverts commit fa040cada9e832a6d23f359a4029953d14acca0a. This change broke Pandas, and after consideration it has been decided that the more correct change would be squeeze(<a scalar>) returns the original scalar.
Diffstat (limited to 'doc')
-rw-r--r--doc/release/1.13.0-notes.rst5
1 files changed, 0 insertions, 5 deletions
diff --git a/doc/release/1.13.0-notes.rst b/doc/release/1.13.0-notes.rst
index f7aed1913..3123e797d 100644
--- a/doc/release/1.13.0-notes.rst
+++ b/doc/release/1.13.0-notes.rst
@@ -76,11 +76,6 @@ obvious exception of any code that tries to directly call
``ndarray.__getslice__`` (e.g. through ``super(...).__getslice__``). In
this case, ``.__getitem__(slice(start, end))`` will act as a replacement.
-``np.squeeze`` always returns an array when passed a scalar
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-Previously, this was only the case when passed a python scalar, and it did not
-do array promotion when passed a numpy scalar.
-
C API
~~~~~