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

3 files changed, 73 insertions, 19 deletions

diff --git a/math/py-pandas/Makefile b/math/py-pandas/Makefile
index 7534bc33fdf..37048b29295 100644
--- a/math/py-pandas/Makefile
+++ b/math/py-pandas/Makefile
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.7 2014/07/19 13:17:46 bad Exp $
+# $NetBSD: Makefile,v 1.8 2015/07/21 19:44:45 bad Exp $
 
-DISTNAME=	pandas-0.14.1
+DISTNAME=	pandas-0.16.2
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=	math graphics python
 MASTER_SITES=	http://pypi.python.org/packages/source/p/pandas/
@@ -13,13 +13,13 @@ LICENSE=	modified-bsd
 DEPENDS+=	${PYPKGPREFIX}-pytz>=1.5:../../time/py-pytz
 DEPENDS+=	${PYPKGPREFIX}-scipy>=0.7:../../math/py-scipy
 DEPENDS+=	${PYPKGPREFIX}-pytables>=2.2:../../math/py-pytables
-BUILDLINK_API_DEPENDS.pynumpy+= ${PYPKGPREFIX}-numpy>=1.6.1
+BUILDLINK_API_DEPENDS.pynumpy+= ${PYPKGPREFIX}-numpy>=1.7.0
 
 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"
diff --git a/math/py-pandas/PLIST b/math/py-pandas/PLIST
index fe0bdf6b35b..3d5f0e1c454 100644
--- a/math/py-pandas/PLIST
+++ b/math/py-pandas/PLIST
@@ -1,4 +1,4 @@
-@comment $NetBSD: PLIST,v 1.5 2014/07/19 13:17:46 bad Exp $
+@comment $NetBSD: PLIST,v 1.6 2015/07/21 19:44:45 bad Exp $
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
@@ -8,6 +8,7 @@ ${PYSITELIB}/${EGG_INFODIR}/top_level.txt
 ${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/algorithms.pyo
 ${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.csv
 ${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
@@ -233,11 +235,22 @@ ${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_i686_linux_3.2.3.p
 ${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_2.7.8.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/0.14.0/0.14.0_x86_64_darwin_2.7.6.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.14.0/0.14.0_x86_64_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.14.1/0.14.1_x86_64_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.15.0/0.15.0_x86_64_linux_2.7.8.pickle
+${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.15.2/0.15.2_x86_64_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_113.dta
 ${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/tips.csv
 ${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/list.pyo
 ${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/stats/var.pyo
 ${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_indexing.pyo
 ${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_testing.pyo
 ${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_pivot.pyo
 ${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/__init__.pyo
 ${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/plotting.pyo
 ${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/clipboard.pyo
 ${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
 ${PYSITELIB}/pandas/util/misc.pyo
diff --git a/math/py-pandas/distinfo b/math/py-pandas/distinfo
index e9197660f73..464752d3fb4 100644
--- a/math/py-pandas/distinfo
+++ b/math/py-pandas/distinfo
@@ -1,5 +1,5 @@
-$NetBSD: distinfo,v 1.6 2014/07/19 13:17:46 bad Exp $
+$NetBSD: distinfo,v 1.7 2015/07/21 19:44:45 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-0.16.2.tar.gz) = c30ce30495e2c351cb8181d36dac5122dc14d440
+RMD160 (pandas-0.16.2.tar.gz) = 944d6193ad0be622c12d91b07abd64eca0be12d4
+Size (pandas-0.16.2.tar.gz) = 4931751 bytes