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gnu: python-pandas: Update to 0.18.1.

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* 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.
This commit is contained in:
Efraim Flashner 2016-05-16 17:36:58 +03:00
parent 8226c2717c
commit 7d0c3c8d01
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GPG key ID: F4C1D3917EACEE93
3 changed files with 14 additions and 156 deletions
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1
gnu/local.mk
View file

@ -705,7 +705,6 @@ dist_patch_DATA = \
gnu/packages/patches/python-paste-remove-website-test.patch \
gnu/packages/patches/python-paste-remove-timing-test.patch \
gnu/packages/patches/python2-pygobject-2-gi-info-type-error-domain.patch \
gnu/packages/patches/python-pandas-fix-tslib-test-failure.patch \
gnu/packages/patches/qt4-ldflags.patch \
gnu/packages/patches/ratpoison-shell.patch \
gnu/packages/patches/readline-link-ncurses.patch \

141
gnu/packages/patches/python-pandas-fix-tslib-test-failure.patch
View file

@ -1,141 +0,0 @@
This patch is required to fix a test failure when python-dateutil version
2.5.2 or later is used. It is derived from the following commits:
80ef4e06526b9b60cf24268454c9456585a790a3
845ff974af6f7c3b3067cce8a7149b771c2be87
diff --git a/pandas/tseries/tests/test_tslib.py b/pandas/tseries/tests/test_tslib.py
index f0d5bf7..863bc6f 100644
--- a/pandas/tseries/tests/test_tslib.py
+++ b/pandas/tseries/tests/test_tslib.py
@@ -474,6 +474,11 @@ def test_does_not_convert_mixed_integer(self):
good_date_string))
def test_parsers(self):
+
+ # https://github.com/dateutil/dateutil/issues/217
+ import dateutil
+ yearfirst = dateutil.__version__ >= LooseVersion('2.5.0')
+
cases = {'2011-01-01': datetime.datetime(2011, 1, 1),
'2Q2005': datetime.datetime(2005, 4, 1),
'2Q05': datetime.datetime(2005, 4, 1),
@@ -527,20 +532,26 @@ def test_parsers(self):
}
for date_str, expected in compat.iteritems(cases):
- result1, _, _ = tools.parse_time_string(date_str)
- result2 = to_datetime(date_str)
- result3 = to_datetime([date_str])
- result4 = to_datetime(np.array([date_str], dtype=object))
- result5 = Timestamp(date_str)
- result6 = DatetimeIndex([date_str])[0]
- result7 = date_range(date_str, freq='S', periods=1)
+ result1, _, _ = tools.parse_time_string(date_str,
+ yearfirst=yearfirst)
+ result2 = to_datetime(date_str, yearfirst=yearfirst)
+ result3 = to_datetime([date_str], yearfirst=yearfirst)
+ result4 = to_datetime(np.array([date_str], dtype=object),
+ yearfirst=yearfirst)
+ result6 = DatetimeIndex([date_str], yearfirst=yearfirst)[0]
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
self.assertEqual(result3, expected)
self.assertEqual(result4, expected)
- self.assertEqual(result5, expected)
self.assertEqual(result6, expected)
- self.assertEqual(result7, expected)
+
+ # these really need to have yearfist, but we don't support
+ if not yearfirst:
+ result5 = Timestamp(date_str)
+ self.assertEqual(result5, expected)
+ result7 = date_range(date_str, freq='S', periods=1,
+ yearfirst=yearfirst)
+ self.assertEqual(result7, expected)
# NaT
result1, _, _ = tools.parse_time_string('NaT')
@@ -589,23 +589,62 @@ def test_parsers_quarter_invalid(self):
self.assertRaises(ValueError, tools.parse_time_string, case)
def test_parsers_dayfirst_yearfirst(self):
+
+ # https://github.com/dateutil/dateutil/issues/217
+ # this issue was closed
+ import dateutil
+ is_compat_version = dateutil.__version__ >= LooseVersion('2.5.2')
+ if is_compat_version:
+ dayfirst_yearfirst1 = datetime.datetime(2010, 12, 11)
+ dayfirst_yearfirst2 = datetime.datetime(2020, 12, 21)
+ else:
+ dayfirst_yearfirst1 = datetime.datetime(2010, 11, 12)
+ dayfirst_yearfirst2 = datetime.datetime(2020, 12, 21)
+
# str : dayfirst, yearfirst, expected
- cases = {'10-11-12': [(False, False, datetime.datetime(2012, 10, 11)),
- (True, False, datetime.datetime(2012, 11, 10)),
- (False, True, datetime.datetime(2010, 11, 12)),
- (True, True, datetime.datetime(2010, 11, 12))],
- '20/12/21': [(False, False, datetime.datetime(2021, 12, 20)),
- (True, False, datetime.datetime(2021, 12, 20)),
- (False, True, datetime.datetime(2020, 12, 21)),
- (True, True, datetime.datetime(2020, 12, 21))]}
+ cases = {'10-11-12': [(False, False, False,
+ datetime.datetime(2012, 10, 11)),
+ (True, False, False,
+ datetime.datetime(2012, 11, 10)),
+ (False, True, False,
+ datetime.datetime(2010, 11, 12)),
+ (True, True, False, dayfirst_yearfirst1)],
+ '20/12/21': [(False, False, False,
+ datetime.datetime(2021, 12, 20)),
+ (True, False, False,
+ datetime.datetime(2021, 12, 20)),
+ (False, True, False,
+ datetime.datetime(2020, 12, 21)),
+ (True, True, True, dayfirst_yearfirst2)]}
tm._skip_if_no_dateutil()
from dateutil.parser import parse
for date_str, values in compat.iteritems(cases):
- for dayfirst, yearfirst, expected in values:
- result1, _, _ = tools.parse_time_string(date_str,
- dayfirst=dayfirst,
- yearfirst=yearfirst)
+ for dayfirst, yearfirst, is_compat, expected in values:
+
+ f = lambda x: tools.parse_time_string(x,
+ dayfirst=dayfirst,
+ yearfirst=yearfirst)
+
+ # we now have an invalid parse
+ if is_compat and is_compat_version:
+ self.assertRaises(tslib.DateParseError, f, date_str)
+
+ def f(date_str):
+ return to_datetime(date_str, dayfirst=dayfirst,
+ yearfirst=yearfirst)
+
+ self.assertRaises(ValueError, f, date_str)
+
+ def f(date_str):
+ return DatetimeIndex([date_str], dayfirst=dayfirst,
+ yearfirst=yearfirst)[0]
+
+ self.assertRaises(ValueError, f, date_str)
+
+ continue
+
+ result1, _, _ = f(date_str)
result2 = to_datetime(date_str, dayfirst=dayfirst,
yearfirst=yearfirst)
@@ -614,7 +653,6 @@ def test_parsers_dayfirst_yearfirst(self):
yearfirst=yearfirst)[0]
# Timestamp doesn't support dayfirst and yearfirst
-
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
self.assertEqual(result3, expected)

28
gnu/packages/python.scm
View file

@ -983,15 +983,16 @@ (define-public python2-parsedatetime
(define-public python-pandas
(package
(name "python-pandas")
(version "0.18.0")
(version "0.18.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "pandas" version))
(uri (string-append
"https://pypi.python.org/packages/11/09/"
"e66eb844daba8680ddff26335d5b4fead77f60f957678243549a8dd4830d/"
"pandas-" version ".tar.gz"))
(sha256
(base32 "050qw0ap5bhyv5flp78x3lcq1dlminl3xaj6kbrm0jqmx0672xf9"))
(patches (search-patches
"python-pandas-fix-tslib-test-failure.patch"))))
(base32 "1ckpxrvvjj6zxmn68icd9hib8qcpx9b35f6izxnr25br5ilq7r6j"))))
(build-system python-build-system)
(propagated-inputs
`(("python-numpy" ,python-numpy)))
@ -999,8 +1000,7 @@ (define-public python-pandas
`(("python-pytz" ,python-pytz)
("python-dateutil" ,python-dateutil-2)))
(native-inputs
`(("python-nose" ,python-nose)
("python-setuptools" ,python-setuptools)))
`(("python-nose" ,python-nose)))
(home-page "http://pandas.pydata.org")
(synopsis "Data structures for data analysis, time series, and statistics")
(description
@ -1009,15 +1009,15 @@ (define-public python-pandas
multidimensional, potentially heterogeneous) and time series data both easy
and intuitive. It aims to be the fundamental high-level building block for
doing practical, real world data analysis in Python.")
(license bsd-3)))
(license bsd-3)
(properties `((python2-variant . ,(delay python2-pandas))))))
(define-public python2-pandas
(let ((pandas (package-with-python2 python-pandas)))
(package (inherit pandas)
(propagated-inputs
`(("python2-numpy" ,python2-numpy)
,@(alist-delete "python-numpy"
(package-propagated-inputs pandas)))))))
(let ((base (package-with-python2 (strip-python2-variant python-pandas))))
(package
(inherit base)
(native-inputs `(("python2-setuptools" ,python2-setuptools)
,@(package-inputs base))))))
(define-public python-tzlocal
(package