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| author | Eric Wieser <wieser.eric@gmail.com> | 2017-02-08 17:31:44 +0000 |
|---|---|---|
| committer | Eric Wieser <wieser.eric@gmail.com> | 2017-02-11 21:09:21 +0000 |
| commit | d4bce016f19dd8c8e2761818741d1c4024a34f21 (patch) | |
| tree | 8c96eea65d8c7c91e5a8647887070288835b0932 | |
| parent | 78084ee261eae43e3b6cb12abee7d7880c62bc0c (diff) | |
| download | numpy-d4bce016f19dd8c8e2761818741d1c4024a34f21.tar.gz | |
DOC: Update 1.13.0 release notes with apply_along_axis changes
| -rw-r--r-- | doc/release/1.13.0-notes.rst | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/doc/release/1.13.0-notes.rst b/doc/release/1.13.0-notes.rst index 43bf3c7b8..f7aed1913 100644 --- a/doc/release/1.13.0-notes.rst +++ b/doc/release/1.13.0-notes.rst @@ -137,6 +137,14 @@ function is faster than previous releases. .. _double double: https://en.wikipedia.org/wiki/Quadruple-precision_floating-point_format#Double-double_arithmetic +Support for returning arrays of arbitrary dimensionality in `apply_along_axis` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Previously, only scalars or 1D arrays could be returned by the function passed +to `apply_along_axis`. Now, it can return an array of any dimensionality +(including 0D), and the shape of this array replaces the axis of the array +being iterated over. + + Changes ======= |