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| author | Charles Harris <charlesr.harris@gmail.com> | 2016-11-02 16:47:48 -0600 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2016-11-02 18:02:02 -0600 |
| commit | af32cce15d670ff479c46b8580116619e29261ca (patch) | |
| tree | a1053c28276bbb7a13947a300cf1b3761363dcd6 /doc | |
| parent | 9451faa445571cf1839e415bb419afa18c0e7ed9 (diff) | |
| download | numpy-af32cce15d670ff479c46b8580116619e29261ca.tar.gz | |
DOC: Mention the fpower function in the 1.12.0 release notes.
[ci skip]
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/1.12.0-notes.rst | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/doc/release/1.12.0-notes.rst b/doc/release/1.12.0-notes.rst index 0baa33049..3630a735c 100644 --- a/doc/release/1.12.0-notes.rst +++ b/doc/release/1.12.0-notes.rst @@ -261,6 +261,15 @@ values. There are two different propagation modes. The default causes masked values to contaminate the result with masks, but the other mode only outputs masks if there is no alternative. +New ``float_power`` ufunc +~~~~~~~~~~~~~~~~~~~~~~~~~ +The new ``float_power`` ufunc is like the ``power`` function except all +computation is done in a minimum precision of float64. There was a long +discussion on the numpy mailing list of how to treat integers to negative +integer powers and a popular proposal was that the ``__pow__`` operator should +always return results of at least float64 precision. The ``float_power`` +function implements that option. Note that it does not support object arrays. + Improvements ============ |