0.17.1
This is a minor bug-fix release from 0.17.0 and includes a large
number of bug fixes along several new features, enhancements, and
performance improvements. We recommend that all users upgrade to
this version.
Highlights include:
Support for Conditional HTML Formatting, see here
Releasing the GIL on the csv reader & other ops, see here
Fixed regression in DataFrame.drop_duplicates from 0.16.2,
causing incorrect results on integer values (GH11376)
0.17.0
This is a major release from 0.16.2 and includes a small number of
API changes, several new features, enhancements, and performance
improvements along with a large number of bug fixes. We recommend
that all users upgrade to this version.
Highlights include:
Release the Global Interpreter Lock (GIL) on some cython
operations, see here
Plotting methods are now available as attributes of the .plot
accessor, see here
The sorting API has been revamped to remove some long-time
inconsistencies, see here
Support for a datetime64[ns] with timezones as a first-class
dtype, see here
The default for to_datetime will now be to raise when presented
with unparseable formats, previously this would return the
original input. Also, date parse functions now return consistent
results. See here
The default for dropna in HDFStore has changed to False, to
store by default all rows even if they are all NaN, see here
Datetime accessor (dt) now supports Series.dt.strftime to
generate formatted strings for datetime-likes, and
Series.dt.total_seconds to generate each duration of the
timedelta in seconds. See here
Period and PeriodIndex can handle multiplied freq like 3D,
which corresponding to 3 days span. See here
Development installed versions of pandas will now have PEP440
compliant version strings (GH9518)
Development support for benchmarking with the Air Speed Velocity
library (GH8361)
Support for reading SAS xport files, see here
Documentation comparing SAS to pandas, see here
Removal of the automatic TimeSeries broadcasting, deprecated
since 0.8.0, see here
Display format with plain text can optionally align with Unicode
East Asian Width, see here
Compatibility with Python 3.5 (GH11097)
Compatibility with matplotlib 1.5.0 (GH11111)
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