NetBSD Problem Report #49958

From www@NetBSD.org  Wed Jun 10 01:16:11 2015
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Message-Id: <20150610011608.3A0F4A65BC@mollari.NetBSD.org>
Date: Wed, 10 Jun 2015 01:16:08 +0000 (UTC)
From: matthewd@fastmail.us
Reply-To: matthewd@fastmail.us
To: gnats-bugs@NetBSD.org
Subject: Update math/py-pandas to 0.16.1
X-Send-Pr-Version: www-1.0

>Number:         49958
>Category:       pkg
>Synopsis:       Update math/py-pandas to 0.16.1
>Confidential:   no
>Severity:       non-critical
>Priority:       medium
>Responsible:    bad
>State:          closed
>Class:          change-request
>Submitter-Id:   net
>Arrival-Date:   Wed Jun 10 01:20:00 +0000 2015
>Closed-Date:    Tue Jul 21 20:29:57 +0000 2015
>Last-Modified:  Tue Jul 21 20:29:57 +0000 2015
>Originator:     Matt Danielson
>Release:        NetBSD 7-Beta
>Organization:
>Environment:
NetBSD inspirational 7.0_BETA NetBSD 7.0_BETA (GENERIC.201505071030Z) amd64

>Description:
This updates math/py-pandas to 0.16.1, which is two major releases newer than the pkgsrc version
>How-To-Repeat:

>Fix:
Index: Makefile
===================================================================
RCS file: /cvsroot/pkgsrc/math/py-pandas/Makefile,v
retrieving revision 1.7
diff -u -u -r1.7 Makefile
--- Makefile	19 Jul 2014 13:17:46 -0000	1.7
+++ Makefile	10 Jun 2015 01:11:38 -0000
@@ -1,6 +1,6 @@
 # $NetBSD: Makefile,v 1.7 2014/07/19 13:17:46 bad Exp $

-DISTNAME=	pandas-0.14.1
+DISTNAME=	pandas-0.16.1
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=	math graphics python
 MASTER_SITES=	http://pypi.python.org/packages/source/p/pandas/
@@ -18,8 +18,8 @@
 PYTHON_VERSIONED_DEPENDENCIES=	dateutil

 PYDISTUTILSPKG=	yes
-PLIST_SUBST+=   PYPKGPREFIX=${PYPKGPREFIX}
-USE_LANGUAGES+=	c c++
+PLIST_SUBST+=	PYPKGPREFIX=${PYPKGPREFIX}
+USE_LANGUAGES=	c c++

 # XXX Avoid picking up other compilers when installed
 .include "../../mk/compiler.mk"
Index: PLIST
===================================================================
RCS file: /cvsroot/pkgsrc/math/py-pandas/PLIST,v
retrieving revision 1.5
diff -u -u -r1.5 PLIST
--- PLIST	19 Jul 2014 13:17:46 -0000	1.5
+++ PLIST	10 Jun 2015 01:11:38 -0000
@@ -1,4 +1,4 @@
-@comment $NetBSD: PLIST,v 1.5 2014/07/19 13:17:46 bad Exp $
+@comment $NetBSD$
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
@@ -8,6 +8,7 @@
 ${PYSITELIB}/pandas/__init__.py
 ${PYSITELIB}/pandas/__init__.pyc
 ${PYSITELIB}/pandas/__init__.pyo
+${PYSITELIB}/pandas/_period.so
 ${PYSITELIB}/pandas/_sparse.so
 ${PYSITELIB}/pandas/_testing.so
 ${PYSITELIB}/pandas/algos.so
@@ -74,9 +75,6 @@
 ${PYSITELIB}/pandas/core/api.py
 ${PYSITELIB}/pandas/core/api.pyc
 ${PYSITELIB}/pandas/core/api.pyo
-${PYSITELIB}/pandas/core/array.py
-${PYSITELIB}/pandas/core/array.pyc
-${PYSITELIB}/pandas/core/array.pyo
 ${PYSITELIB}/pandas/core/base.py
 ${PYSITELIB}/pandas/core/base.pyc
 ${PYSITELIB}/pandas/core/base.pyo
@@ -212,6 +210,10 @@
 ${PYSITELIB}/pandas/io/tests/data/banklist.html
 ${PYSITELIB}/pandas/io/tests/data/computer_sales_page.html
 ${PYSITELIB}/pandas/io/tests/data/gbq_fake_job.txt
+${PYSITELIB}/pandas/io/tests/data/html_encoding/chinese_utf-16.html
+${PYSITELIB}/pandas/io/tests/data/html_encoding/chinese_utf-32.html
+${PYSITELIB}/pandas/io/tests/data/html_encoding/chinese_utf-8.html
+${PYSITELIB}/pandas/io/tests/data/html_encoding/letz_latin1.html
 ${PYSITELIB}/pandas/io/tests/data/iris.csv
 ${PYSITELIB}/pandas/io/tests/data/legacy_hdf/legacy.h5
 ${PYSITELIB}/pandas/io/tests/data/legacy_hdf/legacy_0.10.h5
@@ -220,24 +222,35 @@
 ${PYSITELIB}/pandas/io/tests/data/legacy_hdf/pytables_native.h5
 ${PYSITELIB}/pandas/io/tests/data/legacy_hdf/pytables_native2.h5
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/AMD64_windows_2.7.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/x86_64_linux_2.7.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_x86_64_linux_3.3.0.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_2.7.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_3.3.0.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/${MACHINE_ARCH}_linux_2.7.3.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_${MACHINE_ARCH}_linux_3.3.0.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_2.7.3.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_3.3.0.pickle
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.12.0/0.12.0_AMD64_windows_2.7.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.12.0/0.12.0_x86_64_linux_2.7.3.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.12.0/0.12.0_${MACHINE_ARCH}_linux_2.7.3.pickle
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_AMD64_windows_2.7.3.pickle
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_i686_linux_2.6.5.pickle
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_i686_linux_2.7.3.pickle
 ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_i686_linux_3.2.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_darwin_2.7.5.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_darwin_2.7.6.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_2.7.3.pickle
-${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_3.3.0.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_${MACHINE_ARCH}_darwin_2.7.5.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_${MACHINE_ARCH}_darwin_2.7.6.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_${MACHINE_ARCH}_linux_2.7.3.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_${MACHINE_ARCH}_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_${MACHINE_ARCH}_linux_3.3.0.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.14.0/0.14.0_${MACHINE_ARCH}_darwin_2.7.6.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.14.0/0.14.0_${MACHINE_ARCH}_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.14.1/0.14.1_${MACHINE_ARCH}_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.15.0/0.15.0_${MACHINE_ARCH}_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.15.2/0.15.2_${MACHINE_ARCH}_darwin_2.7.9.pickle
 ${PYSITELIB}/pandas/io/tests/data/macau.html
 ${PYSITELIB}/pandas/io/tests/data/nyse_wsj.html
 ${PYSITELIB}/pandas/io/tests/data/salary.table
 ${PYSITELIB}/pandas/io/tests/data/spam.html
+${PYSITELIB}/pandas/io/tests/data/stata10_115.dta
+${PYSITELIB}/pandas/io/tests/data/stata10_117.dta
+${PYSITELIB}/pandas/io/tests/data/stata11_115.dta
+${PYSITELIB}/pandas/io/tests/data/stata11_117.dta
+${PYSITELIB}/pandas/io/tests/data/stata12_117.dta
 ${PYSITELIB}/pandas/io/tests/data/stata1_114.dta
 ${PYSITELIB}/pandas/io/tests/data/stata1_117.dta
 ${PYSITELIB}/pandas/io/tests/data/stata1_encoding.dta
@@ -264,14 +277,26 @@
 ${PYSITELIB}/pandas/io/tests/data/stata6_114.dta
 ${PYSITELIB}/pandas/io/tests/data/stata6_115.dta
 ${PYSITELIB}/pandas/io/tests/data/stata6_117.dta
+${PYSITELIB}/pandas/io/tests/data/stata7_115.dta
+${PYSITELIB}/pandas/io/tests/data/stata7_117.dta
+${PYSITELIB}/pandas/io/tests/data/stata8_113.dta
+${PYSITELIB}/pandas/io/tests/data/stata8_115.dta
+${PYSITELIB}/pandas/io/tests/data/stata8_117.dta
+${PYSITELIB}/pandas/io/tests/data/stata9_115.dta
+${PYSITELIB}/pandas/io/tests/data/stata9_117.dta
 ${PYSITELIB}/pandas/io/tests/data/test.xls
 ${PYSITELIB}/pandas/io/tests/data/test.xlsm
 ${PYSITELIB}/pandas/io/tests/data/test.xlsx
 ${PYSITELIB}/pandas/io/tests/data/test1.csv
+${PYSITELIB}/pandas/io/tests/data/test1.csv.bz2
+${PYSITELIB}/pandas/io/tests/data/test1.csv.gz
 ${PYSITELIB}/pandas/io/tests/data/test2.csv
 ${PYSITELIB}/pandas/io/tests/data/test2.xls
 ${PYSITELIB}/pandas/io/tests/data/test2.xlsx
 ${PYSITELIB}/pandas/io/tests/data/test3.xls
+${PYSITELIB}/pandas/io/tests/data/test_converters.xls
+${PYSITELIB}/pandas/io/tests/data/test_converters.xlsx
+${PYSITELIB}/pandas/io/tests/data/test_multisheet.xlsx
 ${PYSITELIB}/pandas/io/tests/data/test_types.xls
 ${PYSITELIB}/pandas/io/tests/data/test_types.xlsx
 ${PYSITELIB}/pandas/io/tests/data/times_1900.xls
@@ -280,14 +305,19 @@
 ${PYSITELIB}/pandas/io/tests/data/unicode_series.csv
 ${PYSITELIB}/pandas/io/tests/data/utf16_ex.txt
 ${PYSITELIB}/pandas/io/tests/data/valid_markup.html
+${PYSITELIB}/pandas/io/tests/data/wikipedia_states.html
 ${PYSITELIB}/pandas/io/tests/data/yahoo_options1.html
 ${PYSITELIB}/pandas/io/tests/data/yahoo_options2.html
+${PYSITELIB}/pandas/io/tests/data/yahoo_options3.html
 ${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.py
 ${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.pyc
 ${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.pyo
 ${PYSITELIB}/pandas/io/tests/test_clipboard.py
 ${PYSITELIB}/pandas/io/tests/test_clipboard.pyc
 ${PYSITELIB}/pandas/io/tests/test_clipboard.pyo
+${PYSITELIB}/pandas/io/tests/test_common.py
+${PYSITELIB}/pandas/io/tests/test_common.pyc
+${PYSITELIB}/pandas/io/tests/test_common.pyo
 ${PYSITELIB}/pandas/io/tests/test_cparser.py
 ${PYSITELIB}/pandas/io/tests/test_cparser.pyc
 ${PYSITELIB}/pandas/io/tests/test_cparser.pyo
@@ -390,6 +420,9 @@
 ${PYSITELIB}/pandas/sparse/panel.py
 ${PYSITELIB}/pandas/sparse/panel.pyc
 ${PYSITELIB}/pandas/sparse/panel.pyo
+${PYSITELIB}/pandas/sparse/scipy_sparse.py
+${PYSITELIB}/pandas/sparse/scipy_sparse.pyc
+${PYSITELIB}/pandas/sparse/scipy_sparse.pyo
 ${PYSITELIB}/pandas/sparse/series.py
 ${PYSITELIB}/pandas/sparse/series.pyc
 ${PYSITELIB}/pandas/sparse/series.pyo
@@ -465,9 +498,13 @@
 ${PYSITELIB}/pandas/tests/__init__.py
 ${PYSITELIB}/pandas/tests/__init__.pyc
 ${PYSITELIB}/pandas/tests/__init__.pyo
+${PYSITELIB}/pandas/tests/data/categorical_0_14_1.pickle
+${PYSITELIB}/pandas/tests/data/categorical_0_15_2.pickle
 ${PYSITELIB}/pandas/tests/data/iris.csv
 ${PYSITELIB}/pandas/tests/data/mindex_073.pickle
 ${PYSITELIB}/pandas/tests/data/multiindex_v1.pickle
+${PYSITELIB}/pandas/tests/data/s1-0.12.0.pickle
+${PYSITELIB}/pandas/tests/data/s2-0.12.0.pickle
 ${PYSITELIB}/pandas/tests/data/tips.csv
 ${PYSITELIB}/pandas/tests/data/unicode_series.csv
 ${PYSITELIB}/pandas/tests/test_algos.py
@@ -515,6 +552,9 @@
 ${PYSITELIB}/pandas/tests/test_internals.py
 ${PYSITELIB}/pandas/tests/test_internals.pyc
 ${PYSITELIB}/pandas/tests/test_internals.pyo
+${PYSITELIB}/pandas/tests/test_lib.py
+${PYSITELIB}/pandas/tests/test_lib.pyc
+${PYSITELIB}/pandas/tests/test_lib.pyo
 ${PYSITELIB}/pandas/tests/test_msgpack/__init__.py
 ${PYSITELIB}/pandas/tests/test_msgpack/__init__.pyc
 ${PYSITELIB}/pandas/tests/test_msgpack/__init__.pyo
@@ -587,12 +627,12 @@
 ${PYSITELIB}/pandas/tests/test_tseries.py
 ${PYSITELIB}/pandas/tests/test_tseries.pyc
 ${PYSITELIB}/pandas/tests/test_tseries.pyo
+${PYSITELIB}/pandas/tests/test_util.py
+${PYSITELIB}/pandas/tests/test_util.pyc
+${PYSITELIB}/pandas/tests/test_util.pyo
 ${PYSITELIB}/pandas/tools/__init__.py
 ${PYSITELIB}/pandas/tools/__init__.pyc
 ${PYSITELIB}/pandas/tools/__init__.pyo
-${PYSITELIB}/pandas/tools/describe.py
-${PYSITELIB}/pandas/tools/describe.pyc
-${PYSITELIB}/pandas/tools/describe.pyo
 ${PYSITELIB}/pandas/tools/merge.py
 ${PYSITELIB}/pandas/tools/merge.pyc
 ${PYSITELIB}/pandas/tools/merge.pyo
@@ -618,9 +658,6 @@
 ${PYSITELIB}/pandas/tools/tests/test_tile.py
 ${PYSITELIB}/pandas/tools/tests/test_tile.pyc
 ${PYSITELIB}/pandas/tools/tests/test_tile.pyo
-${PYSITELIB}/pandas/tools/tests/test_tools.py
-${PYSITELIB}/pandas/tools/tests/test_tools.pyc
-${PYSITELIB}/pandas/tools/tests/test_tools.pyo
 ${PYSITELIB}/pandas/tools/tests/test_util.py
 ${PYSITELIB}/pandas/tools/tests/test_util.pyc
 ${PYSITELIB}/pandas/tools/tests/test_util.pyo
@@ -636,6 +673,12 @@
 ${PYSITELIB}/pandas/tseries/api.py
 ${PYSITELIB}/pandas/tseries/api.pyc
 ${PYSITELIB}/pandas/tseries/api.pyo
+${PYSITELIB}/pandas/tseries/base.py
+${PYSITELIB}/pandas/tseries/base.pyc
+${PYSITELIB}/pandas/tseries/base.pyo
+${PYSITELIB}/pandas/tseries/common.py
+${PYSITELIB}/pandas/tseries/common.pyc
+${PYSITELIB}/pandas/tseries/common.pyo
 ${PYSITELIB}/pandas/tseries/converter.py
 ${PYSITELIB}/pandas/tseries/converter.pyc
 ${PYSITELIB}/pandas/tseries/converter.pyo
@@ -663,13 +706,21 @@
 ${PYSITELIB}/pandas/tseries/resample.py
 ${PYSITELIB}/pandas/tseries/resample.pyc
 ${PYSITELIB}/pandas/tseries/resample.pyo
+${PYSITELIB}/pandas/tseries/tdi.py
+${PYSITELIB}/pandas/tseries/tdi.pyc
+${PYSITELIB}/pandas/tseries/tdi.pyo
 ${PYSITELIB}/pandas/tseries/tests/__init__.py
 ${PYSITELIB}/pandas/tseries/tests/__init__.pyc
 ${PYSITELIB}/pandas/tseries/tests/__init__.pyo
+${PYSITELIB}/pandas/tseries/tests/data/cday-0.14.1.pickle
+${PYSITELIB}/pandas/tseries/tests/data/dateoffset_0_15_2.pickle
 ${PYSITELIB}/pandas/tseries/tests/data/daterange_073.pickle
 ${PYSITELIB}/pandas/tseries/tests/data/frame.pickle
 ${PYSITELIB}/pandas/tseries/tests/data/series.pickle
 ${PYSITELIB}/pandas/tseries/tests/data/series_daterange0.pickle
+${PYSITELIB}/pandas/tseries/tests/test_base.py
+${PYSITELIB}/pandas/tseries/tests/test_base.pyc
+${PYSITELIB}/pandas/tseries/tests/test_base.pyo
 ${PYSITELIB}/pandas/tseries/tests/test_converter.py
 ${PYSITELIB}/pandas/tseries/tests/test_converter.pyc
 ${PYSITELIB}/pandas/tseries/tests/test_converter.pyo
@@ -731,6 +782,9 @@
 ${PYSITELIB}/pandas/util/decorators.py
 ${PYSITELIB}/pandas/util/decorators.pyc
 ${PYSITELIB}/pandas/util/decorators.pyo
+${PYSITELIB}/pandas/util/doctools.py
+${PYSITELIB}/pandas/util/doctools.pyc
+${PYSITELIB}/pandas/util/doctools.pyo
 ${PYSITELIB}/pandas/util/misc.py
 ${PYSITELIB}/pandas/util/misc.pyc
 ${PYSITELIB}/pandas/util/misc.pyo
Index: distinfo
===================================================================
RCS file: /cvsroot/pkgsrc/math/py-pandas/distinfo,v
retrieving revision 1.6
diff -u -u -r1.6 distinfo
--- distinfo	19 Jul 2014 13:17:46 -0000	1.6
+++ distinfo	10 Jun 2015 01:11:38 -0000
@@ -1,5 +1,5 @@
 $NetBSD: distinfo,v 1.6 2014/07/19 13:17:46 bad Exp $

-SHA1 (pandas-0.14.1.tar.gz) = 04ca960ad9276d54f5fe1b94c87d4e7ff7e1423d
-RMD160 (pandas-0.14.1.tar.gz) = 2bb1f8078bb775644fda69f47afdf98c089d5b57
-Size (pandas-0.14.1.tar.gz) = 6713272 bytes
+SHA1 (pandas-0.16.1.tar.gz) = d70b28710084887cd2820fbb50f068777809d159
+RMD160 (pandas-0.16.1.tar.gz) = 7358aba1547cb87670aa08df7ea70a835faaf13a
+Size (pandas-0.16.1.tar.gz) = 4959316 bytes



Changes since 0.14.1:

v 0.16.1
This is a minor bug-fix release from 0.16.0 and includes a 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 a CategoricalIndex, a category based index
    New section on how-to-contribute to pandas
    Revised “Merge, join, and concatenate” documentation, including graphical examples to make it easier to understand each operations
    New method sample for drawing random samples from Series, DataFrames and Panels.
    The default Index printing has changed to a more uniform format
    BusinessHour datetime-offset is now supported
    Further enhancement to the .str accessor to make string operations easier

v0.16.0 (March 22, 2015)

This is a major release from 0.15.2 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:

    DataFrame.assign method, see here
    Series.to_coo/from_coo methods to interact with scipy.sparse, see here
    Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta, see here
    Changes to the .loc slicing API to conform with the behavior of .ix see here
    Changes to the default for ordering in the Categorical constructor, see here
    Enhancement to the .str accessor to make string operations easier, see here
    The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy modules are deprecated. We refer users to external packages like seaborn, pandas-qt and rpy2 for similar or equivalent functionality, see here
v0.15.0 (October 18, 2014)

This is a major release from 0.14.1 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.

Warning

pandas >= 0.15.0 will no longer support compatibility with NumPy versions < 1.7.0. If you want to use the latest versions of pandas, please upgrade to NumPy >= 1.7.0 (GH7711)

    Highlights include:
        The Categorical type was integrated as a first-class pandas type, see here
        New scalar type Timedelta, and a new index type TimedeltaIndex, see here
        New datetimelike properties accessor .dt for Series, see Datetimelike Properties
        New DataFrame default display for df.info() to include memory usage, see Memory Usage
        read_csv will now by default ignore blank lines when parsing, see here
        API change in using Indexes in set operations, see here
        Enhancements in the handling of timezones, see here
        A lot of improvements to the rolling and expanding moment funtions, see here
        Internal refactoring of the Index class to no longer sub-class ndarray, see Internal Refactoring
        dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 (GH7990)
        Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced Indexing
        Split out string methods documentation into Working with Text Data

>Release-Note:

>Audit-Trail:

Responsible-Changed-From-To: pkg-manager->bad
Responsible-Changed-By: hauke@NetBSD.org
Responsible-Changed-When: Wed, 10 Jun 2015 08:10:18 +0000
Responsible-Changed-Why:
Over to maintainer.


From: Christoph Badura <bad@NetBSD.org>
To: gnats-bugs@NetBSD.org
Cc: 
Subject: Re: pkg/49958 (Update math/py-pandas to 0.16.1)
Date: Thu, 11 Jun 2015 12:42:42 +0200

 Thanks for the patches.  It's good to see that someone else beside me is
 using pandas.

 What's up with the following and similar changes in the PLIST, though:
 -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/x86_64_linux_2.7.3.pickle
 -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_x86_64_linux_3.3.0.pickle
 -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_2.7.3.pickle
 -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_3.3.0.pickle
 +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/${MACHINE_ARCH}_linux_2.7.3.pickle
 +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_${MACHINE_ARCH}_linux_3.3.0.pickle
 +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_2.7.3.pickle
 +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_3.3.0.pickle

 ISTM these are file provided by upstream and not generated, so why would
 their names change depending on MACHINE_ARCH?

 --chris

From: matthewd@fastmail.us
To: gnats-bugs@netbsd.org
Cc: 
Subject: Re: pkg/49958 (Update math/py-pandas to 0.16.1)
Date: Mon, 15 Jun 2015 20:16:16 -0700

 This is a multi-part message in MIME format.

 --_----------=_143442457610039430
 Content-Transfer-Encoding: 7bit
 Content-Type: text/plain

 Good catch, thank you for pointing it out.  I've updated my diff,
 attached.

 -Matt

 -- 

   matthewd@fastmail.us

 ----- Original message -----
 From: Christoph Badura <bad@NetBSD.org>
 To: bad@NetBSD.org, gnats-admin@netbsd.org, pkgsrc-bugs@netbsd.org,
 matthewd@fastmail.us
 Subject: Re: pkg/49958 (Update math/py-pandas to 0.16.1)
 Date: Thu, 11 Jun 2015 10:45:00 +0000 (UTC)

 The following reply was made to PR pkg/49958; it has been noted by
 GNATS.

 From: Christoph Badura <bad@NetBSD.org>
 To: gnats-bugs@NetBSD.org
 Cc: 
 Subject: Re: pkg/49958 (Update math/py-pandas to 0.16.1)
 Date: Thu, 11 Jun 2015 12:42:42 +0200

  Thanks for the patches.  It's good to see that someone else beside me
  is
  using pandas.

  What's up with the following and similar changes in the PLIST, though:
  -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/x86_64_linux_2.7.3.pickle
  -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_x86_64_linux_3.3.0.pickle
  -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_2.7.3.pickle
  -${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_3.3.0.pickle
  +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/${MACHINE_ARCH}_linux_2.7.3.pickle
  +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/0.11.0_${MACHINE_ARCH}_linux_3.3.0.pickle
  +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_2.7.3.pickle
  +${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/${MACHINE_ARCH}_linux_3.3.0.pickle

  ISTM these are file provided by upstream and not generated, so why
  would
  their names change depending on MACHINE_ARCH?

  --chris


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 --_----------=_143442457610039430--

From: "Christoph Badura" <bad@netbsd.org>
To: gnats-bugs@gnats.NetBSD.org
Cc: 
Subject: PR/49958 CVS commit: pkgsrc/math/py-pandas
Date: Tue, 21 Jul 2015 19:44:45 +0000

 Module Name:	pkgsrc
 Committed By:	bad
 Date:		Tue Jul 21 19:44:45 UTC 2015

 Modified Files:
 	pkgsrc/math/py-pandas: Makefile PLIST distinfo

 Log Message:
 Update py-pandas to 0.16.2.

 Closes PR pkg/49958 by matthewd.

 Changes since 0.14.1 for a full list see
 http://pandas.pydata.org/pandas-docs/stable/whatsnew.html:

 v 0.16.2

 This is a minor bug-fix release from 0.16.1 and includes a a large
 number of bug fixes along some new features (pipe() method),
 enhancements, and performance improvements.

 We recommend that all users upgrade to this version.

 Highlights include:

     A new pipe method
     Documentation on how to use numba with pandas,

 v 0.16.1
 This is a minor bug-fix release from 0.16.0 and includes a 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 a CategoricalIndex, a category based index
     New section on how-to-contribute to pandas
     Revised “Merge, join, and concatenate” documentation, including
     graphical examples to make it easier to understand each operations
     New method sample for drawing random samples from Series, DataFrames
     and Panels.
     The default Index printing has changed to a more uniform format
     BusinessHour datetime-offset is now supported
     Further enhancement to the .str accessor to make string operations easier

 v0.16.0 (March 22, 2015)

 This is a major release from 0.15.2 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:

     DataFrame.assign method
     Series.to_coo/from_coo methods to interact with scipy.sparse
     Backwards incompatible change to Timedelta to conform the .seconds
     attribute with datetime.timedelta
     Changes to the .loc slicing API to conform with the behavior of .ix
     Changes to the default for ordering in the Categorical constructor
     Enhancement to the .str accessor to make string operations easier
     The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
     modules are deprecated. We refer users to external packages like
     seaborn, pandas-qt and rpy2 for similar or equivalent functionality,
     see here
 v0.15.0 (October 18, 2014)

 This is a major release from 0.14.1 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.

 Warning

 pandas >= 0.15.0 will no longer support compatibility with NumPy
 versions < 1.7.0. If you want to use the latest versions of pandas,
 please upgrade to NumPy >= 1.7.0 (GH7711)

     Highlights include:
         The Categorical type was integrated as a first-class pandas type
         New scalar type Timedelta, and a new index type TimedeltaIndex
         New datetimelike properties accessor .dt for Series, see
         Datetimelike Properties
         New DataFrame default display for df.info() to include memory
         usage, see Memory Usage
         read_csv will now by default ignore blank lines when parsing
         API change in using Indexes in set operations
         Enhancements in the handling of timezones
         A lot of improvements to the rolling and expanding moment funtions
         Internal refactoring of the Index class to no longer sub-class
         ndarray, see Internal Refactoring
         dropping support for PyTables less than version 3.0.0, and
         numexpr less than version 2.1 (GH7990)
         Split indexing documentation into Indexing and Selecting Data
         and MultiIndex / Advanced Indexing
         Split out string methods documentation into Working with Text Data


 To generate a diff of this commit:
 cvs rdiff -u -r1.7 -r1.8 pkgsrc/math/py-pandas/Makefile
 cvs rdiff -u -r1.5 -r1.6 pkgsrc/math/py-pandas/PLIST
 cvs rdiff -u -r1.6 -r1.7 pkgsrc/math/py-pandas/distinfo

 Please note that diffs are not public domain; they are subject to the
 copyright notices on the relevant files.

State-Changed-From-To: open->closed
State-Changed-By: bad@NetBSD.org
State-Changed-When: Tue, 21 Jul 2015 20:29:57 +0000
State-Changed-Why:
Package updated.


>Unformatted:

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