What’s new in 0.23.1 (June 12, 2018) — pandas 3.0.0rc0+31.g944c527c0a documentation (original) (raw)

This is a minor bug-fix release in the 0.23.x series and includes some small regression fixes and bug fixes. We recommend that all users upgrade to this version.

Warning

Starting January 1, 2019, pandas feature releases will support Python 3 only. See Dropping Python 2.7 for more.

What’s new in v0.23.1

Fixed regressions#

Comparing Series with datetime.date

We’ve reverted a 0.23.0 change to comparing a Series holding datetimes and a datetime.date object (GH 21152). In pandas 0.22 and earlier, comparing a Series holding datetimes and datetime.date objects would coerce the datetime.date to a datetime before comparing. This was inconsistent with Python, NumPy, and DatetimeIndex, which never consider a datetime and datetime.date equal.

In 0.23.0, we unified operations between DatetimeIndex and Series, and in the process changed comparisons between a Series of datetimes and datetime.date without warning.

We’ve temporarily restored the 0.22.0 behavior, so datetimes and dates may again compare equal, but restore the 0.23.0 behavior in a future release.

To summarize, here’s the behavior in 0.22.0, 0.23.0, 0.23.1:

0.22.0... Silently coerce the datetime.date

import datetime pd.Series(pd.date_range('2017', periods=2)) == datetime.date(2017, 1, 1) 0 True 1 False dtype: bool

0.23.0... Do not coerce the datetime.date

pd.Series(pd.date_range('2017', periods=2)) == datetime.date(2017, 1, 1) 0 False 1 False dtype: bool

0.23.1... Coerce the datetime.date with a warning

pd.Series(pd.date_range('2017', periods=2)) == datetime.date(2017, 1, 1) /bin/python:1: FutureWarning: Comparing Series of datetimes with 'datetime.date'. Currently, the 'datetime.date' is coerced to a datetime. In the future pandas will not coerce, and the values not compare equal to the 'datetime.date'. To retain the current behavior, convert the 'datetime.date' to a datetime with 'pd.Timestamp'. #!/bin/python3 0 True 1 False dtype: bool

In addition, ordering comparisons will raise a TypeError in the future.

Other fixes

Performance improvements#

Bug fixes#

Groupby/resample/rolling

Data-type specific

Sparse

Indexing

Plotting

I/O

Reshaping

Other

Contributors#

A total of 30 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.