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 packages’ 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 weren’t 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 ‘fixed’ 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

3 files changed, 9 insertions, 8 deletions

diff --git a/math/py-pandas/Makefile b/math/py-pandas/Makefile
index 8940777e951..bc17ec817fc 100644
--- a/math/py-pandas/Makefile
+++ b/math/py-pandas/Makefile
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.16 2017/06/07 08:13:56 adam Exp $
+# $NetBSD: Makefile,v 1.17 2017/07/14 10:17:02 adam Exp $
 
-DISTNAME=	pandas-0.20.2
+DISTNAME=	pandas-0.20.3
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=	math graphics python
 MASTER_SITES=	${MASTER_SITE_PYPI:=p/pandas/}
diff --git a/math/py-pandas/PLIST b/math/py-pandas/PLIST
index 10b917d5265..b8fc191ebee 100644
--- a/math/py-pandas/PLIST
+++ b/math/py-pandas/PLIST
@@ -1,4 +1,4 @@
-@comment $NetBSD: PLIST,v 1.11 2017/06/07 08:13:56 adam Exp $
+@comment $NetBSD: PLIST,v 1.12 2017/07/14 10:17:02 adam Exp $
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
@@ -840,6 +840,7 @@ ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/datetimetz_object.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/legacy_0.10.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/legacy_table.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/legacy_table_0.11.h5
+${PYSITELIB}/pandas/tests/io/data/legacy_hdf/periodindex_0.20.1_x86_64_darwin_2.7.13.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/pytables_native.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_hdf/pytables_native2.h5
 ${PYSITELIB}/pandas/tests/io/data/legacy_msgpack/0.16.0/0.16.0_x86_64_darwin_2.7.9.msgpack
diff --git a/math/py-pandas/distinfo b/math/py-pandas/distinfo
index f18e3c21f16..d6414d83c65 100644
--- a/math/py-pandas/distinfo
+++ b/math/py-pandas/distinfo
@@ -1,6 +1,6 @@
-$NetBSD: distinfo,v 1.12 2017/06/07 08:13:56 adam Exp $
+$NetBSD: distinfo,v 1.13 2017/07/14 10:17:02 adam Exp $
 
-SHA1 (pandas-0.20.2.tar.gz) = f26ffa20c500b15a75b25ac0a7a02ccfb2209a37
-RMD160 (pandas-0.20.2.tar.gz) = b949317a7d01c3f97c5af5714ab5e105c58cc23f
-SHA512 (pandas-0.20.2.tar.gz) = d7de58b36ac143a1b210736ed070080621c25bb09a4554c85e783e1a638d22d15455bc35591a0d28119fd3187a1eba68371e98028da0e09cad25c251505d803d
-Size (pandas-0.20.2.tar.gz) = 10334432 bytes
+SHA1 (pandas-0.20.3.tar.gz) = 3cd8ddd9840c21f6b8614131bd932d8a94eefac0
+RMD160 (pandas-0.20.3.tar.gz) = 8fef6af23de5b1dc2cba792d848e90f641826ab6
+SHA512 (pandas-0.20.3.tar.gz) = 891c7e04d075f96fadf3775e903472e279eaeaa4509eb0da81a74261a3ed86ff309de0b5a2c100ee93dd968fed1df6d7e426ca78785b2b36785fe7679218fdc5
+Size (pandas-0.20.3.tar.gz) = 10402185 bytes