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| author | Charles Harris <charlesr.harris@gmail.com> | 2016-02-02 15:55:31 -0700 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2016-02-02 15:55:31 -0700 |
| commit | 12ec338c23f3db1e155661fdbf098a546e48dc1e (patch) | |
| tree | 34ee0fc728ab5079a42bfa1083a6dac7d0e9b002 | |
| parent | 093608dc030172b2683dfac80a47033354c7643d (diff) | |
| parent | 6b3d477bfd6404b7f5eea7b91a547df0c61c1239 (diff) | |
| download | numpy-12ec338c23f3db1e155661fdbf098a546e48dc1e.tar.gz | |
Merge pull request #7174 from gfyoung/pandas_link_fix
DOC: Fix broken pandas link in release notes
| -rw-r--r-- | doc/release/1.11.0-notes.rst | 15 |
1 files changed, 7 insertions, 8 deletions
diff --git a/doc/release/1.11.0-notes.rst b/doc/release/1.11.0-notes.rst index c9287ed3f..e95225a7c 100644 --- a/doc/release/1.11.0-notes.rst +++ b/doc/release/1.11.0-notes.rst @@ -76,12 +76,13 @@ printing it would convert from or to local time:: >>>> np.datetime64('2000-01-01T00:00:00') numpy.datetime64('2000-01-01T00:00:00-0800') # note the timezone offset -08:00 + A consensus of datetime64 users agreed that this behavior is undesirable -and at odds with how datetime64 is usually used (e.g., by pandas_). For -most use cases, a timezone naive datetime type is preferred, similar to the -``datetime.datetime`` type in the Python standard library. Accordingly, -datetime64 no longer assumes that input is in local time, nor does it print -local times:: +and at odds with how datetime64 is usually used (e.g., by `pandas +<http://pandas.pydata.org>`__). For most use cases, a timezone naive datetime +type is preferred, similar to the ``datetime.datetime`` type in the Python +standard library. Accordingly, datetime64 no longer assumes that input is in +local time, nor does it print local times:: >>>> np.datetime64('2000-01-01T00:00:00') numpy.datetime64('2000-01-01T00:00:00') @@ -99,14 +100,12 @@ As a corollary to this change, we no longer prohibit casting between datetimes with date units and datetimes with time units. With timezone naive datetimes, the rule for casting from dates to times is no longer ambiguous. -pandas_: http://pandas.pydata.org - ``linalg.norm`` return type changes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The return type of the ``linalg.norm`` function is now floating point without exception. Some of the norm types previously returned integers. -and returns floating results.polynomial fit changes +polynomial fit changes ~~~~~~~~~~~~~~~~~~~~~~ The various fit functions in the numpy polynomial package no longer accept non-integers for degree specification. |