Update py-pandas to 0.11.0.
Summary of changes since 0.10.1: This is a major release from 0.10.1 and includes many new features and enhancements along with a large number of bug fixes. The methods of Selecting Data have had quite a number of additions, and Dtype support is now full-fledged. There are also a number of important API changes that long-time pandas users should pay close attention to. * New precision indexing fields loc, iloc, at, and iat, to reduce occasional ambiguity in the catch-all hitherto ix method. * Expanded support for NumPy data types in DataFrame. * NumExpr integration to accelerate various operator evaluation. * Improved DataFrame to CSV exporting performance. For a full list refer to the "what's new" page. Also fixes PLIST errors introduced in last update.
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3 changed files with 62 additions and 22 deletions
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# $NetBSD: Makefile,v 1.3 2013/02/16 00:02:19 bad Exp $
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# $NetBSD: Makefile,v 1.4 2013/05/16 23:10:16 bad Exp $
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DISTNAME= pandas-0.10.1
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DISTNAME= pandas-0.11.0
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PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
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CATEGORIES= math graphics python
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MASTER_SITES= http://pypi.python.org/packages/source/p/pandas/
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@ -22,7 +22,9 @@ USE_LANGUAGES+= c c++
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# XXX Avoid picking up other compilers when installed
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.include "../../mk/compiler.mk"
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# XXX want py-bottleneck
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.include "../../lang/python/egg.mk"
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.include "../../math/py-numpy/buildlink3.mk"
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.include "../../math/py-numexpr/buildlink3.mk"
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.include "../../graphics/py-matplotlib/buildlink3.mk"
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.include "../../mk/bsd.pkg.mk"
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@comment $NetBSD: PLIST,v 1.2 2013/01/07 23:18:35 bad Exp $
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@comment $NetBSD: PLIST,v 1.3 2013/05/16 23:10:16 bad Exp $
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${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
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${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
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${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
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@ -26,6 +26,9 @@ ${PYSITELIB}/pandas/core/algorithms.pyo
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${PYSITELIB}/pandas/core/api.py
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${PYSITELIB}/pandas/core/api.pyc
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${PYSITELIB}/pandas/core/api.pyo
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${PYSITELIB}/pandas/core/array.py
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${PYSITELIB}/pandas/core/array.pyc
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${PYSITELIB}/pandas/core/array.pyo
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${PYSITELIB}/pandas/core/categorical.py
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${PYSITELIB}/pandas/core/categorical.pyc
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${PYSITELIB}/pandas/core/categorical.pyo
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@ -41,12 +44,12 @@ ${PYSITELIB}/pandas/core/config_init.pyo
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${PYSITELIB}/pandas/core/daterange.py
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${PYSITELIB}/pandas/core/daterange.pyc
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${PYSITELIB}/pandas/core/daterange.pyo
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${PYSITELIB}/pandas/core/daterange_flymake.py
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${PYSITELIB}/pandas/core/daterange_flymake.pyc
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${PYSITELIB}/pandas/core/daterange_flymake.pyo
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${PYSITELIB}/pandas/core/datetools.py
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${PYSITELIB}/pandas/core/datetools.pyc
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${PYSITELIB}/pandas/core/datetools.pyo
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${PYSITELIB}/pandas/core/expressions.py
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${PYSITELIB}/pandas/core/expressions.pyc
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${PYSITELIB}/pandas/core/expressions.pyo
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${PYSITELIB}/pandas/core/format.py
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${PYSITELIB}/pandas/core/format.pyc
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${PYSITELIB}/pandas/core/format.pyo
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@ -127,16 +130,27 @@ ${PYSITELIB}/pandas/io/sql.pyo
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${PYSITELIB}/pandas/io/tests/__init__.py
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${PYSITELIB}/pandas/io/tests/__init__.pyc
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${PYSITELIB}/pandas/io/tests/__init__.pyo
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${PYSITELIB}/pandas/io/tests/legacy.h5
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${PYSITELIB}/pandas/io/tests/legacy_table.h5
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${PYSITELIB}/pandas/io/tests/rossi_small.csv
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${PYSITELIB}/pandas/io/tests/salary.table
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${PYSITELIB}/pandas/io/tests/test.xls
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${PYSITELIB}/pandas/io/tests/test.xlsx
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${PYSITELIB}/pandas/io/tests/test1.csv
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${PYSITELIB}/pandas/io/tests/test2.csv
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${PYSITELIB}/pandas/io/tests/test2.xls
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${PYSITELIB}/pandas/io/tests/test3.xls
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${PYSITELIB}/pandas/io/tests/data/legacy_hdf/legacy.h5
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${PYSITELIB}/pandas/io/tests/data/legacy_hdf/legacy_0.10.h5
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${PYSITELIB}/pandas/io/tests/data/legacy_hdf/legacy_table.h5
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${PYSITELIB}/pandas/io/tests/data/legacy_hdf/pytables_native.h5
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${PYSITELIB}/pandas/io/tests/data/legacy_hdf/pytables_native2.h5
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${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/AMD64_windows_2.7.3.pickle
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${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.10.1/x86_64_linux_2.7.3.pickle
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${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_2.7.3.pickle
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${PYSITELIB}/pandas/io/tests/data/legacy_pickle/0.11.0/x86_64_linux_3.3.0.pickle
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${PYSITELIB}/pandas/io/tests/data/salary.table
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${PYSITELIB}/pandas/io/tests/data/test.xls
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${PYSITELIB}/pandas/io/tests/data/test.xlsx
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${PYSITELIB}/pandas/io/tests/data/test1.csv
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${PYSITELIB}/pandas/io/tests/data/test2.csv
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${PYSITELIB}/pandas/io/tests/data/test2.xls
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${PYSITELIB}/pandas/io/tests/data/test3.xls
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${PYSITELIB}/pandas/io/tests/data/unicode_series.csv
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${PYSITELIB}/pandas/io/tests/data/utf16_ex.txt
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${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.py
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${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.pyc
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${PYSITELIB}/pandas/io/tests/generate_legacy_pickles.pyo
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${PYSITELIB}/pandas/io/tests/test_cparser.py
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${PYSITELIB}/pandas/io/tests/test_cparser.pyc
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${PYSITELIB}/pandas/io/tests/test_cparser.pyo
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${PYSITELIB}/pandas/io/tests/test_parsers.py
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${PYSITELIB}/pandas/io/tests/test_parsers.pyc
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${PYSITELIB}/pandas/io/tests/test_parsers.pyo
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${PYSITELIB}/pandas/io/tests/test_pickle.py
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${PYSITELIB}/pandas/io/tests/test_pickle.pyc
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${PYSITELIB}/pandas/io/tests/test_pickle.pyo
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${PYSITELIB}/pandas/io/tests/test_pytables.py
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${PYSITELIB}/pandas/io/tests/test_pytables.pyc
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${PYSITELIB}/pandas/io/tests/test_pytables.pyo
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${PYSITELIB}/pandas/io/tests/test_sql.py
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${PYSITELIB}/pandas/io/tests/test_sql.pyc
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${PYSITELIB}/pandas/io/tests/test_sql.pyo
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${PYSITELIB}/pandas/io/tests/test_utf16.csv
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${PYSITELIB}/pandas/io/tests/test_wb.py
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${PYSITELIB}/pandas/io/tests/test_wb.pyc
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${PYSITELIB}/pandas/io/tests/test_wb.pyo
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${PYSITELIB}/pandas/io/tests/test_yahoo.py
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${PYSITELIB}/pandas/io/tests/test_yahoo.pyc
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${PYSITELIB}/pandas/io/tests/test_yahoo.pyo
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${PYSITELIB}/pandas/io/tests/utf16_ex.txt
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${PYSITELIB}/pandas/io/wb.py
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${PYSITELIB}/pandas/io/wb.pyc
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${PYSITELIB}/pandas/io/wb.pyo
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${PYSITELIB}/pandas/lib.so
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${PYSITELIB}/pandas/rpy/__init__.py
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${PYSITELIB}/pandas/rpy/__init__.pyc
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${PYSITELIB}/pandas/tests/data/iris.csv
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${PYSITELIB}/pandas/tests/data/mindex_073.pickle
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${PYSITELIB}/pandas/tests/data/multiindex_v1.pickle
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${PYSITELIB}/pandas/tests/data/tips.csv
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${PYSITELIB}/pandas/tests/data/unicode_series.csv
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${PYSITELIB}/pandas/tests/test_algos.py
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${PYSITELIB}/pandas/tests/test_algos.pyc
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${PYSITELIB}/pandas/tests/test_config.py
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${PYSITELIB}/pandas/tests/test_config.pyc
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${PYSITELIB}/pandas/tests/test_config.pyo
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${PYSITELIB}/pandas/tests/test_expressions.py
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${PYSITELIB}/pandas/tests/test_expressions.pyc
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${PYSITELIB}/pandas/tests/test_expressions.pyo
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${PYSITELIB}/pandas/tests/test_factor.py
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${PYSITELIB}/pandas/tests/test_factor.pyc
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${PYSITELIB}/pandas/tests/test_factor.pyo
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${PYSITELIB}/pandas/tests/test_index.py
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${PYSITELIB}/pandas/tests/test_index.pyc
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${PYSITELIB}/pandas/tests/test_index.pyo
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${PYSITELIB}/pandas/tests/test_indexing.py
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${PYSITELIB}/pandas/tests/test_indexing.pyc
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${PYSITELIB}/pandas/tests/test_indexing.pyo
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${PYSITELIB}/pandas/tests/test_internals.py
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${PYSITELIB}/pandas/tests/test_internals.pyc
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${PYSITELIB}/pandas/tests/test_internals.pyo
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${PYSITELIB}/pandas/tests/test_reshape.py
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${PYSITELIB}/pandas/tests/test_reshape.pyc
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${PYSITELIB}/pandas/tests/test_reshape.pyo
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${PYSITELIB}/pandas/tests/test_rplot.py
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${PYSITELIB}/pandas/tests/test_rplot.pyc
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${PYSITELIB}/pandas/tests/test_rplot.pyo
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${PYSITELIB}/pandas/tests/test_series.py
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${PYSITELIB}/pandas/tests/test_series.pyc
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${PYSITELIB}/pandas/tests/test_series.pyo
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${PYSITELIB}/pandas/tests/test_strings.py
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${PYSITELIB}/pandas/tests/test_strings.pyc
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${PYSITELIB}/pandas/tests/test_strings.pyo
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${PYSITELIB}/pandas/tests/test_tests.py
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${PYSITELIB}/pandas/tests/test_tests.pyc
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${PYSITELIB}/pandas/tests/test_tests.pyo
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${PYSITELIB}/pandas/tests/test_tseries.py
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${PYSITELIB}/pandas/tests/test_tseries.pyc
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${PYSITELIB}/pandas/tests/test_tseries.pyo
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${PYSITELIB}/pandas/tools/plotting.py
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${PYSITELIB}/pandas/tools/plotting.pyc
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${PYSITELIB}/pandas/tools/plotting.pyo
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${PYSITELIB}/pandas/tools/rplot.py
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${PYSITELIB}/pandas/tools/rplot.pyc
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${PYSITELIB}/pandas/tools/rplot.pyo
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${PYSITELIB}/pandas/tools/tests/__init__.py
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${PYSITELIB}/pandas/tools/tests/__init__.pyc
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${PYSITELIB}/pandas/tools/tests/__init__.pyo
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${PYSITELIB}/pandas/tseries/tests/__init__.pyo
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${PYSITELIB}/pandas/tseries/tests/data/daterange_073.pickle
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${PYSITELIB}/pandas/tseries/tests/data/frame.pickle
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${PYSITELIB}/pandas/tseries/tests/data/frame2.pickle
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${PYSITELIB}/pandas/tseries/tests/data/series.pickle
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${PYSITELIB}/pandas/tseries/tests/data/series_daterange0.pickle
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${PYSITELIB}/pandas/tseries/tests/test_converter.py
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$NetBSD: distinfo,v 1.3 2013/02/16 00:02:19 bad Exp $
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$NetBSD: distinfo,v 1.4 2013/05/16 23:10:16 bad Exp $
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SHA1 (pandas-0.10.1.tar.gz) = a1da6856763509fdef82fd2029b867c270691d42
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RMD160 (pandas-0.10.1.tar.gz) = d2e64ae86d0f470f70abb74663afb5e1d72a07f4
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Size (pandas-0.10.1.tar.gz) = 2499500 bytes
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SHA1 (pandas-0.11.0.tar.gz) = 45ec33b4f500f89e16d842fd6c674722898b21eb
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RMD160 (pandas-0.11.0.tar.gz) = 600d3c4619def15f53d4a16bf6f91553f76c9df6
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Size (pandas-0.11.0.tar.gz) = 2783590 bytes
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