gnu: python-pandas: Update to 0.18.1.
* gnu/packages/python.scm (python-pandas): Update to 0.18.1. [native-inputs]: Remove python-setuptools. [properties]: Define python2-pandas. (python2-pandas)[native-inputs]: Add python2-setuptools. * gnu/packages/patches/python-pandas-fix-tslib-test-failure.patch: Delete file. * gnu/local.mk (dist_patch_DATA): Remove it.
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@ -705,7 +705,6 @@ dist_patch_DATA = \
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gnu/packages/patches/python-paste-remove-website-test.patch \
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gnu/packages/patches/python-paste-remove-timing-test.patch \
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gnu/packages/patches/python2-pygobject-2-gi-info-type-error-domain.patch \
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gnu/packages/patches/python-pandas-fix-tslib-test-failure.patch \
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gnu/packages/patches/qt4-ldflags.patch \
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gnu/packages/patches/ratpoison-shell.patch \
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gnu/packages/patches/readline-link-ncurses.patch \
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@ -1,141 +0,0 @@
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This patch is required to fix a test failure when python-dateutil version
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2.5.2 or later is used. It is derived from the following commits:
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80ef4e06526b9b60cf24268454c9456585a790a3
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845ff974af6f7c3b3067cce8a7149b771c2be87
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diff --git a/pandas/tseries/tests/test_tslib.py b/pandas/tseries/tests/test_tslib.py
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index f0d5bf7..863bc6f 100644
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--- a/pandas/tseries/tests/test_tslib.py
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+++ b/pandas/tseries/tests/test_tslib.py
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@@ -474,6 +474,11 @@ def test_does_not_convert_mixed_integer(self):
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good_date_string))
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def test_parsers(self):
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+
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+ # https://github.com/dateutil/dateutil/issues/217
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+ import dateutil
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+ yearfirst = dateutil.__version__ >= LooseVersion('2.5.0')
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+
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cases = {'2011-01-01': datetime.datetime(2011, 1, 1),
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'2Q2005': datetime.datetime(2005, 4, 1),
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'2Q05': datetime.datetime(2005, 4, 1),
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@@ -527,20 +532,26 @@ def test_parsers(self):
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}
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for date_str, expected in compat.iteritems(cases):
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- result1, _, _ = tools.parse_time_string(date_str)
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- result2 = to_datetime(date_str)
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- result3 = to_datetime([date_str])
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- result4 = to_datetime(np.array([date_str], dtype=object))
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- result5 = Timestamp(date_str)
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- result6 = DatetimeIndex([date_str])[0]
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- result7 = date_range(date_str, freq='S', periods=1)
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+ result1, _, _ = tools.parse_time_string(date_str,
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+ yearfirst=yearfirst)
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+ result2 = to_datetime(date_str, yearfirst=yearfirst)
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+ result3 = to_datetime([date_str], yearfirst=yearfirst)
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+ result4 = to_datetime(np.array([date_str], dtype=object),
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+ yearfirst=yearfirst)
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+ result6 = DatetimeIndex([date_str], yearfirst=yearfirst)[0]
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self.assertEqual(result1, expected)
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self.assertEqual(result2, expected)
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self.assertEqual(result3, expected)
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self.assertEqual(result4, expected)
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- self.assertEqual(result5, expected)
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self.assertEqual(result6, expected)
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- self.assertEqual(result7, expected)
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+
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+ # these really need to have yearfist, but we don't support
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+ if not yearfirst:
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+ result5 = Timestamp(date_str)
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+ self.assertEqual(result5, expected)
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+ result7 = date_range(date_str, freq='S', periods=1,
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+ yearfirst=yearfirst)
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+ self.assertEqual(result7, expected)
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# NaT
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result1, _, _ = tools.parse_time_string('NaT')
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@@ -589,23 +589,62 @@ def test_parsers_quarter_invalid(self):
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self.assertRaises(ValueError, tools.parse_time_string, case)
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def test_parsers_dayfirst_yearfirst(self):
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+
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+ # https://github.com/dateutil/dateutil/issues/217
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+ # this issue was closed
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+ import dateutil
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+ is_compat_version = dateutil.__version__ >= LooseVersion('2.5.2')
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+ if is_compat_version:
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+ dayfirst_yearfirst1 = datetime.datetime(2010, 12, 11)
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+ dayfirst_yearfirst2 = datetime.datetime(2020, 12, 21)
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+ else:
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+ dayfirst_yearfirst1 = datetime.datetime(2010, 11, 12)
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+ dayfirst_yearfirst2 = datetime.datetime(2020, 12, 21)
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+
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# str : dayfirst, yearfirst, expected
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- cases = {'10-11-12': [(False, False, datetime.datetime(2012, 10, 11)),
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- (True, False, datetime.datetime(2012, 11, 10)),
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- (False, True, datetime.datetime(2010, 11, 12)),
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- (True, True, datetime.datetime(2010, 11, 12))],
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- '20/12/21': [(False, False, datetime.datetime(2021, 12, 20)),
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- (True, False, datetime.datetime(2021, 12, 20)),
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- (False, True, datetime.datetime(2020, 12, 21)),
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- (True, True, datetime.datetime(2020, 12, 21))]}
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+ cases = {'10-11-12': [(False, False, False,
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+ datetime.datetime(2012, 10, 11)),
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+ (True, False, False,
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+ datetime.datetime(2012, 11, 10)),
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+ (False, True, False,
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+ datetime.datetime(2010, 11, 12)),
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+ (True, True, False, dayfirst_yearfirst1)],
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+ '20/12/21': [(False, False, False,
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+ datetime.datetime(2021, 12, 20)),
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+ (True, False, False,
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+ datetime.datetime(2021, 12, 20)),
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+ (False, True, False,
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+ datetime.datetime(2020, 12, 21)),
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+ (True, True, True, dayfirst_yearfirst2)]}
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tm._skip_if_no_dateutil()
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from dateutil.parser import parse
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for date_str, values in compat.iteritems(cases):
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- for dayfirst, yearfirst, expected in values:
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- result1, _, _ = tools.parse_time_string(date_str,
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- dayfirst=dayfirst,
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- yearfirst=yearfirst)
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+ for dayfirst, yearfirst, is_compat, expected in values:
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+
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+ f = lambda x: tools.parse_time_string(x,
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+ dayfirst=dayfirst,
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+ yearfirst=yearfirst)
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+
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+ # we now have an invalid parse
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+ if is_compat and is_compat_version:
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+ self.assertRaises(tslib.DateParseError, f, date_str)
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+
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+ def f(date_str):
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+ return to_datetime(date_str, dayfirst=dayfirst,
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+ yearfirst=yearfirst)
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+
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+ self.assertRaises(ValueError, f, date_str)
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+
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+ def f(date_str):
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+ return DatetimeIndex([date_str], dayfirst=dayfirst,
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+ yearfirst=yearfirst)[0]
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+
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+ self.assertRaises(ValueError, f, date_str)
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+
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+ continue
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+
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+ result1, _, _ = f(date_str)
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result2 = to_datetime(date_str, dayfirst=dayfirst,
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yearfirst=yearfirst)
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@@ -614,7 +653,6 @@ def test_parsers_dayfirst_yearfirst(self):
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yearfirst=yearfirst)[0]
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# Timestamp doesn't support dayfirst and yearfirst
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-
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self.assertEqual(result1, expected)
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self.assertEqual(result2, expected)
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self.assertEqual(result3, expected)
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@ -983,15 +983,16 @@ datetime module, available in Python 2.3+.")
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(define-public python-pandas
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(package
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(name "python-pandas")
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(version "0.18.0")
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(version "0.18.1")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "pandas" version))
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(uri (string-append
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"https://pypi.python.org/packages/11/09/"
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"e66eb844daba8680ddff26335d5b4fead77f60f957678243549a8dd4830d/"
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"pandas-" version ".tar.gz"))
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(sha256
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(base32 "050qw0ap5bhyv5flp78x3lcq1dlminl3xaj6kbrm0jqmx0672xf9"))
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(patches (search-patches
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"python-pandas-fix-tslib-test-failure.patch"))))
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(base32 "1ckpxrvvjj6zxmn68icd9hib8qcpx9b35f6izxnr25br5ilq7r6j"))))
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(build-system python-build-system)
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(propagated-inputs
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`(("python-numpy" ,python-numpy)))
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@ -999,8 +1000,7 @@ datetime module, available in Python 2.3+.")
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`(("python-pytz" ,python-pytz)
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("python-dateutil" ,python-dateutil-2)))
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(native-inputs
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`(("python-nose" ,python-nose)
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("python-setuptools" ,python-setuptools)))
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`(("python-nose" ,python-nose)))
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(home-page "http://pandas.pydata.org")
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(synopsis "Data structures for data analysis, time series, and statistics")
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(description
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@ -1009,15 +1009,15 @@ structures designed to make working with structured (tabular,
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multidimensional, potentially heterogeneous) and time series data both easy
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and intuitive. It aims to be the fundamental high-level building block for
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doing practical, real world data analysis in Python.")
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(license bsd-3)))
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(license bsd-3)
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(properties `((python2-variant . ,(delay python2-pandas))))))
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(define-public python2-pandas
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(let ((pandas (package-with-python2 python-pandas)))
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(package (inherit pandas)
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(propagated-inputs
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`(("python2-numpy" ,python2-numpy)
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,@(alist-delete "python-numpy"
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(package-propagated-inputs pandas)))))))
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(let ((base (package-with-python2 (strip-python2-variant python-pandas))))
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(package
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(inherit base)
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(native-inputs `(("python2-setuptools" ,python2-setuptools)
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,@(package-inputs base))))))
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(define-public python-tzlocal
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(package
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