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| author | Stan Seibert <sseibert@anaconda.com> | 2018-10-29 11:18:32 -0500 |
|---|---|---|
| committer | Stan Seibert <sseibert@anaconda.com> | 2018-10-29 11:18:32 -0500 |
| commit | 5ec252bbee0a643cf2c2f1877fbd8a2c83f1c641 (patch) | |
| tree | 1eb6bb2843660e48c6f6d9788a4bc40684045558 | |
| parent | 94c18654c7564c3380c0bf5e655736196c821c4b (diff) | |
| download | numpy-5ec252bbee0a643cf2c2f1877fbd8a2c83f1c641.tar.gz | |
DOC: update release notes with np.take improvement.
| -rw-r--r-- | doc/release/1.16.0-notes.rst | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/doc/release/1.16.0-notes.rst b/doc/release/1.16.0-notes.rst index a0613f61d..a5aa78740 100644 --- a/doc/release/1.16.0-notes.rst +++ b/doc/release/1.16.0-notes.rst @@ -262,6 +262,11 @@ copying the data directly into the appropriate slice of the resulting array. This results in significant speedups for these large arrays, particularly for arrays being blocked along more than 2 dimensions. +Speedup ``np.take`` for read-only arrays +---------------------------------------- +The implementation of ``np.take`` no longer makes an unnecessary copy of the +source array when its ``writeable`` flag is set to ``False``. + Changes ======= |