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Subject: CVS commit: pkgsrc/math/py-pandas
From: Adam Ciarcinski
Date: 2017-07-14 12:17:02
Message id: 20170714101702.4A3B8FACB@cvs.NetBSD.org
Log Message:
0.20.3
Bug Fixes
* Fixed a bug in failing to compute rolling computations of a \
column-MultiIndexed DataFrame
* Fixed a pytest marker failing downstream packagesâ tests suites
Conversion
* Bug in pickle compat prior to the v0.20.x series, when UTC is a timezone in a \
Series/DataFrame/Index
* Bug in Series construction when passing a Series with dtype='category'.
* Bug in DataFrame.astype() when passing a Series as the dtype kwarg..
Indexing
* Bug in Float64Index causing an empty array instead of None to be returned from \
.get(np.nan) on a Series whose index did not contain any NaN s
* Bug in MultiIndex.isin causing an error when passing an empty iterable
* Fixed a bug in a slicing DataFrame/Series that have a TimedeltaIndex
I/O
* Bug in read_csv() in which files werenât opened as binary files by the C \
engine on Windows, causing EOF characters mid-field, which would fail
* Bug in read_hdf() in which reading a Series saved to an HDF file in \
âfixedâ format fails when an explicit mode='r' argument is supplied
* Bug in DataFrame.to_latex() where bold_rows was wrongly specified to be True \
by default, whereas in reality row labels remained non-bold whatever parameter \
provided.
* Fixed an issue with DataFrame.style() where generated element ids were not unique
* Fixed loading a DataFrame with a PeriodIndex, from a format='fixed' HDFStore, \
in Python 3, that was written in Python 2
Plotting
* Fixed regression that prevented RGB and RGBA tuples from being used as color \
arguments
* Fixed an issue with DataFrame.plot.scatter() that incorrectly raised a \
KeyError when categorical data is used for plotting
Reshaping
* PeriodIndex / TimedeltaIndex.join was missing the sort= kwarg
* Bug in joining on a MultiIndex with a category dtype for a level.
* Bug in merge() when merging/joining with multiple categorical columns
Categorical
* Bug in DataFrame.sort_values not respecting the kind parameter with \
categorical data
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