(cat_pn): Drop old

Package-Manager: Portage-2.3.84, Repoman-2.3.20
Signed-off-by: Pacho Ramos <pacho@gentoo.org>

6 files changed, 0 insertions, 738 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index c5268587c923..979d04182ba1 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,3 +1 @@
-DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
-DIST pandas-0.23.4.tar.gz 10490077 BLAKE2B 28a78860e0aa5de8def7bb529fc98b9121a516b7fd7620e31e000ae14217165e6677ce26b56da0b9c603930ab1304725c644426a135d8f9b2a84921b88f3d23d SHA512 0c89db820a49e0cfb9764e64589ff9af819f9a53c01bd0254cd1b6dbd1e9fd452b2ff7c7330ede7623c7576589113e831a19a57c735562b55f90506df15805b9
 DIST pandas-0.24.2.tar.gz 11837693 BLAKE2B 3762e94554a3ae3c803c9a412c5c551c15a9fbf15cb05633f7d1b0ccbfddc646f68f0306666e688a83a4495b0537cea2fec671157f5a63aaa5f9cad6b791261e SHA512 0795c6bb8a47a511853558ea59d371b4540ec175f213cfba4ad2361d6481fea5d3f7074bb4961c32f2f0080a72d7436a9b3706f5cc692074f98d83bfc587fd15
diff --git a/dev-python/pandas/files/pandas-0.19.1-gapi.patch b/dev-python/pandas/files/pandas-0.19.1-gapi.patch
deleted file mode 100644
index 7a0456fdacfc..000000000000
--- a/dev-python/pandas/files/pandas-0.19.1-gapi.patch
+++ /dev/null
@@ -1,27 +0,0 @@
-From 1d6dbb41b26a39121ec8c4f19f5da78bb0ab4af7 Mon Sep 17 00:00:00 2001
-From: Jeff Reback <jeff@reback.net>
-Date: Sat, 12 Nov 2016 12:44:06 -0500
-Subject: [PATCH] TST: skip test_gbq.test_upload_data_if_table_exists_replace
- for now
-
----
- pandas/io/tests/test_gbq.py | 3 +++
- 1 file changed, 3 insertions(+)
-
-diff --git a/pandas/io/tests/test_gbq.py b/pandas/io/tests/test_gbq.py
-index cca1580b8..f6ff35a6d 100644
---- a/pandas/io/tests/test_gbq.py
-+++ b/pandas/io/tests/test_gbq.py
-@@ -824,6 +824,9 @@ class TestToGBQIntegration(tm.TestCase):
-                        private_key=_get_private_key_path())
- 
-     def test_upload_data_if_table_exists_replace(self):
-+
-+        raise nose.SkipTest("buggy test")
-+
-         destination_table = DESTINATION_TABLE + "4"
- 
-         test_size = 10
--- 
-2.11.0
-
diff --git a/dev-python/pandas/files/pandas-0.19.1-seqf.patch b/dev-python/pandas/files/pandas-0.19.1-seqf.patch
deleted file mode 100644
index c82c14ff8fdd..000000000000
--- a/dev-python/pandas/files/pandas-0.19.1-seqf.patch
+++ /dev/null
@@ -1,357 +0,0 @@
-From f8bd08e9c2fc6365980f41b846bbae4b40f08b83 Mon Sep 17 00:00:00 2001
-From: Jeff Reback <jeff@reback.net>
-Date: Sat, 12 Nov 2016 10:58:54 -0500
-Subject: [PATCH] BUG: segfault manifesting with dateutil=2.6 w.r.t. replace
- when timezones are present
-
-closes #14621
-
-Author: Jeff Reback <jeff@reback.net>
-
-Closes #14631 from jreback/replace and squashes the following commits:
-
-3f95042 [Jeff Reback] BUG: segfault manifesting with dateutil=2.6 w.r.t. replace when timezones are present
----
- ci/requirements-3.5_OSX.pip            |  2 +-
- doc/source/whatsnew/v0.19.2.txt        |  3 ++
- pandas/tseries/offsets.py              |  1 +
- pandas/tseries/tests/test_offsets.py   | 20 ++++---
- pandas/tseries/tests/test_timezones.py | 89 +++++++++++++++++++++++++++++--
- pandas/tseries/tests/test_tslib.py     |  5 +-
- pandas/tslib.pyx                       | 95 ++++++++++++++++++++++++++++------
- 7 files changed, 188 insertions(+), 27 deletions(-)
-
-diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
-index 051cc8aa4..2e3852a7e 100644
---- a/pandas/tseries/offsets.py
-+++ b/pandas/tseries/offsets.py
-@@ -68,6 +68,7 @@ def apply_wraps(func):
-                 other = other.tz_localize(None)
- 
-             result = func(self, other)
-+
-             if self._adjust_dst:
-                 result = tslib._localize_pydatetime(result, tz)
- 
-diff --git a/pandas/tseries/tests/test_offsets.py b/pandas/tseries/tests/test_offsets.py
-index 1735ac4e2..768e9212e 100644
---- a/pandas/tseries/tests/test_offsets.py
-+++ b/pandas/tseries/tests/test_offsets.py
-@@ -1,4 +1,5 @@
- import os
-+from distutils.version import LooseVersion
- from datetime import date, datetime, timedelta
- from dateutil.relativedelta import relativedelta
- from pandas.compat import range, iteritems
-@@ -4851,6 +4852,7 @@ class TestDST(tm.TestCase):
- 
-     def _test_offset(self, offset_name, offset_n, tstart, expected_utc_offset):
-         offset = DateOffset(**{offset_name: offset_n})
-+
-         t = tstart + offset
-         if expected_utc_offset is not None:
-             self.assertTrue(get_utc_offset_hours(t) == expected_utc_offset)
-@@ -4890,17 +4892,23 @@ class TestDST(tm.TestCase):
-         return Timestamp(string + offset_string).tz_convert(tz)
- 
-     def test_fallback_plural(self):
--        """test moving from daylight savings to standard time"""
-+        # test moving from daylight savings to standard time
-+        import dateutil
-         for tz, utc_offsets in self.timezone_utc_offsets.items():
-             hrs_pre = utc_offsets['utc_offset_daylight']
-             hrs_post = utc_offsets['utc_offset_standard']
--            self._test_all_offsets(
--                n=3, tstart=self._make_timestamp(self.ts_pre_fallback,
--                                                 hrs_pre, tz),
--                expected_utc_offset=hrs_post)
-+
-+            if dateutil.__version__ != LooseVersion('2.6.0'):
-+                # buggy ambiguous behavior in 2.6.0
-+                # GH 14621
-+                # https://github.com/dateutil/dateutil/issues/321
-+                self._test_all_offsets(
-+                    n=3, tstart=self._make_timestamp(self.ts_pre_fallback,
-+                                                     hrs_pre, tz),
-+                    expected_utc_offset=hrs_post)
- 
-     def test_springforward_plural(self):
--        """test moving from standard to daylight savings"""
-+        # test moving from standard to daylight savings
-         for tz, utc_offsets in self.timezone_utc_offsets.items():
-             hrs_pre = utc_offsets['utc_offset_standard']
-             hrs_post = utc_offsets['utc_offset_daylight']
-diff --git a/pandas/tseries/tests/test_timezones.py b/pandas/tseries/tests/test_timezones.py
-index 00e8ee631..db8cda5c7 100644
---- a/pandas/tseries/tests/test_timezones.py
-+++ b/pandas/tseries/tests/test_timezones.py
-@@ -4,7 +4,7 @@ import nose
- 
- import numpy as np
- import pytz
--
-+from distutils.version import LooseVersion
- from pandas.types.dtypes import DatetimeTZDtype
- from pandas import (Index, Series, DataFrame, isnull, Timestamp)
- 
-@@ -518,8 +518,12 @@ class TestTimeZoneSupportPytz(tm.TestCase):
- 
-         times = date_range("2013-10-26 23:00", "2013-10-27 01:00", freq="H",
-                            tz=tz, ambiguous='infer')
--        self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz))
--        self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz))
-+        self.assertEqual(times[0], Timestamp('2013-10-26 23:00', tz=tz,
-+                                             freq="H"))
-+        if dateutil.__version__ != LooseVersion('2.6.0'):
-+            # GH 14621
-+            self.assertEqual(times[-1], Timestamp('2013-10-27 01:00', tz=tz,
-+                                                  freq="H"))
- 
-     def test_ambiguous_nat(self):
-         tz = self.tz('US/Eastern')
-@@ -1163,6 +1167,85 @@ class TestTimeZones(tm.TestCase):
-     def setUp(self):
-         tm._skip_if_no_pytz()
- 
-+    def test_replace(self):
-+        # GH 14621
-+        # GH 7825
-+        # replacing datetime components with and w/o presence of a timezone
-+        dt = Timestamp('2016-01-01 09:00:00')
-+        result = dt.replace(hour=0)
-+        expected = Timestamp('2016-01-01 00:00:00')
-+        self.assertEqual(result, expected)
-+
-+        for tz in self.timezones:
-+            dt = Timestamp('2016-01-01 09:00:00', tz=tz)
-+            result = dt.replace(hour=0)
-+            expected = Timestamp('2016-01-01 00:00:00', tz=tz)
-+            self.assertEqual(result, expected)
-+
-+        # we preserve nanoseconds
-+        dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
-+        result = dt.replace(hour=0)
-+        expected = Timestamp('2016-01-01 00:00:00.000000123', tz=tz)
-+        self.assertEqual(result, expected)
-+
-+        # test all
-+        dt = Timestamp('2016-01-01 09:00:00.000000123', tz=tz)
-+        result = dt.replace(year=2015, month=2, day=2, hour=0, minute=5,
-+                            second=5, microsecond=5, nanosecond=5)
-+        expected = Timestamp('2015-02-02 00:05:05.000005005', tz=tz)
-+        self.assertEqual(result, expected)
-+
-+        # error
-+        def f():
-+            dt.replace(foo=5)
-+        self.assertRaises(ValueError, f)
-+
-+        def f():
-+            dt.replace(hour=0.1)
-+        self.assertRaises(ValueError, f)
-+
-+        # assert conversion to naive is the same as replacing tzinfo with None
-+        dt = Timestamp('2013-11-03 01:59:59.999999-0400', tz='US/Eastern')
-+        self.assertEqual(dt.tz_localize(None), dt.replace(tzinfo=None))
-+
-+    def test_ambiguous_compat(self):
-+        # validate that pytz and dateutil are compat for dst
-+        # when the transition happens
-+        tm._skip_if_no_dateutil()
-+        tm._skip_if_no_pytz()
-+
-+        pytz_zone = 'Europe/London'
-+        dateutil_zone = 'dateutil/Europe/London'
-+        result_pytz = (Timestamp('2013-10-27 01:00:00')
-+                       .tz_localize(pytz_zone, ambiguous=0))
-+        result_dateutil = (Timestamp('2013-10-27 01:00:00')
-+                           .tz_localize(dateutil_zone, ambiguous=0))
-+        self.assertEqual(result_pytz.value, result_dateutil.value)
-+        self.assertEqual(result_pytz.value, 1382835600000000000)
-+
-+        # dateutil 2.6 buggy w.r.t. ambiguous=0
-+        if dateutil.__version__ != LooseVersion('2.6.0'):
-+            # GH 14621
-+            # https://github.com/dateutil/dateutil/issues/321
-+            self.assertEqual(result_pytz.to_pydatetime().tzname(),
-+                             result_dateutil.to_pydatetime().tzname())
-+            self.assertEqual(str(result_pytz), str(result_dateutil))
-+
-+        # 1 hour difference
-+        result_pytz = (Timestamp('2013-10-27 01:00:00')
-+                       .tz_localize(pytz_zone, ambiguous=1))
-+        result_dateutil = (Timestamp('2013-10-27 01:00:00')
-+                           .tz_localize(dateutil_zone, ambiguous=1))
-+        self.assertEqual(result_pytz.value, result_dateutil.value)
-+        self.assertEqual(result_pytz.value, 1382832000000000000)
-+
-+        # dateutil < 2.6 is buggy w.r.t. ambiguous timezones
-+        if dateutil.__version__ > LooseVersion('2.5.3'):
-+            # GH 14621
-+            self.assertEqual(str(result_pytz), str(result_dateutil))
-+            self.assertEqual(result_pytz.to_pydatetime().tzname(),
-+                             result_dateutil.to_pydatetime().tzname())
-+
-     def test_index_equals_with_tz(self):
-         left = date_range('1/1/2011', periods=100, freq='H', tz='utc')
-         right = date_range('1/1/2011', periods=100, freq='H', tz='US/Eastern')
-diff --git a/pandas/tseries/tests/test_tslib.py b/pandas/tseries/tests/test_tslib.py
-index 21cfe84f1..b45f867be 100644
---- a/pandas/tseries/tests/test_tslib.py
-+++ b/pandas/tseries/tests/test_tslib.py
-@@ -327,8 +327,9 @@ class TestTimestamp(tm.TestCase):
- 
-         # dateutil zone change (only matters for repr)
-         import dateutil
--        if dateutil.__version__ >= LooseVersion(
--                '2.3') and dateutil.__version__ <= LooseVersion('2.4.0'):
-+        if (dateutil.__version__ >= LooseVersion('2.3') and
-+            (dateutil.__version__ <= LooseVersion('2.4.0') or
-+             dateutil.__version__ >= LooseVersion('2.6.0'))):
-             timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern',
-                          'dateutil/US/Pacific']
-         else:
-diff --git a/pandas/tslib.pyx b/pandas/tslib.pyx
-index d4eaaa0b5..685de214c 100644
---- a/pandas/tslib.pyx
-+++ b/pandas/tslib.pyx
-@@ -98,6 +98,7 @@ except NameError: # py3
- cdef inline object create_timestamp_from_ts(
-         int64_t value, pandas_datetimestruct dts,
-         object tz, object freq):
-+    """ convenience routine to construct a Timestamp from its parts """
-     cdef _Timestamp ts_base
-     ts_base = _Timestamp.__new__(Timestamp, dts.year, dts.month,
-                                  dts.day, dts.hour, dts.min,
-@@ -112,6 +113,7 @@ cdef inline object create_timestamp_from_ts(
- cdef inline object create_datetime_from_ts(
-         int64_t value, pandas_datetimestruct dts,
-         object tz, object freq):
-+    """ convenience routine to construct a datetime.datetime from its parts """
-     return datetime(dts.year, dts.month, dts.day, dts.hour,
-                     dts.min, dts.sec, dts.us, tz)
- 
-@@ -378,7 +380,6 @@ class Timestamp(_Timestamp):
-         # Mixing pydatetime positional and keyword arguments is forbidden!
- 
-         cdef _TSObject ts
--        cdef _Timestamp ts_base
- 
-         if offset is not None:
-             # deprecate offset kwd in 0.19.0, GH13593
-@@ -412,17 +413,7 @@ class Timestamp(_Timestamp):
-             from pandas.tseries.frequencies import to_offset
-             freq = to_offset(freq)
- 
--        # make datetime happy
--        ts_base = _Timestamp.__new__(cls, ts.dts.year, ts.dts.month,
--                                     ts.dts.day, ts.dts.hour, ts.dts.min,
--                                     ts.dts.sec, ts.dts.us, ts.tzinfo)
--
--        # fill out rest of data
--        ts_base.value = ts.value
--        ts_base.freq = freq
--        ts_base.nanosecond = ts.dts.ps / 1000
--
--        return ts_base
-+        return create_timestamp_from_ts(ts.value, ts.dts, ts.tzinfo, freq)
- 
-     def _round(self, freq, rounder):
- 
-@@ -660,8 +651,80 @@ class Timestamp(_Timestamp):
-     astimezone = tz_convert
- 
-     def replace(self, **kwds):
--        return Timestamp(datetime.replace(self, **kwds),
--                         freq=self.freq)
-+        """
-+        implements datetime.replace, handles nanoseconds
-+
-+        Parameters
-+        ----------
-+        kwargs: key-value dict
-+
-+        accepted keywords are:
-+        year, month, day, hour, minute, second, microsecond, nanosecond, tzinfo
-+
-+        values must be integer, or for tzinfo, a tz-convertible
-+
-+        Returns
-+        -------
-+        Timestamp with fields replaced
-+        """
-+
-+        cdef:
-+            pandas_datetimestruct dts
-+            int64_t value
-+            object tzinfo, result, k, v
-+            _TSObject ts
-+
-+        # set to naive if needed
-+        tzinfo = self.tzinfo
-+        value = self.value
-+        if tzinfo is not None:
-+            value = tz_convert_single(value, 'UTC', tzinfo)
-+
-+        # setup components
-+        pandas_datetime_to_datetimestruct(value, PANDAS_FR_ns, &dts)
-+        dts.ps = self.nanosecond * 1000
-+
-+        # replace
-+        def validate(k, v):
-+            """ validate integers """
-+            if not isinstance(v, int):
-+                raise ValueError("value must be an integer, received {v} for {k}".format(v=type(v), k=k))
-+            return v
-+
-+        for k, v in kwds.items():
-+            if k == 'year':
-+                dts.year = validate(k, v)
-+            elif k == 'month':
-+                dts.month = validate(k, v)
-+            elif k == 'day':
-+                dts.day = validate(k, v)
-+            elif k == 'hour':
-+                dts.hour = validate(k, v)
-+            elif k == 'minute':
-+                dts.min = validate(k, v)
-+            elif k == 'second':
-+                dts.sec = validate(k, v)
-+            elif k == 'microsecond':
-+                dts.us = validate(k, v)
-+            elif k == 'nanosecond':
-+                dts.ps = validate(k, v) * 1000
-+            elif k == 'tzinfo':
-+                tzinfo = v
-+            else:
-+                raise ValueError("invalid name {} passed".format(k))
-+
-+        # reconstruct & check bounds
-+        value = pandas_datetimestruct_to_datetime(PANDAS_FR_ns, &dts)
-+        if value != NPY_NAT:
-+            _check_dts_bounds(&dts)
-+
-+        # set tz if needed
-+        if tzinfo is not None:
-+            value = tz_convert_single(value, tzinfo, 'UTC')
-+
-+        result = create_timestamp_from_ts(value, dts, tzinfo, self.freq)
-+
-+        return result
- 
-     def isoformat(self, sep='T'):
-         base = super(_Timestamp, self).isoformat(sep=sep)
-@@ -5041,7 +5104,9 @@ cpdef normalize_date(object dt):
-     -------
-     normalized : datetime.datetime or Timestamp
-     """
--    if PyDateTime_Check(dt):
-+    if is_timestamp(dt):
-+        return dt.replace(hour=0, minute=0, second=0, microsecond=0, nanosecond=0)
-+    elif PyDateTime_Check(dt):
-         return dt.replace(hour=0, minute=0, second=0, microsecond=0)
-     elif PyDate_Check(dt):
-         return datetime(dt.year, dt.month, dt.day)
--- 
-2.11.0
-
diff --git a/dev-python/pandas/files/pandas-0.23.4-skip-broken-test.patch b/dev-python/pandas/files/pandas-0.23.4-skip-broken-test.patch
deleted file mode 100644
index aa98b80c2c70..000000000000
--- a/dev-python/pandas/files/pandas-0.23.4-skip-broken-test.patch
+++ /dev/null
@@ -1,24 +0,0 @@
-diff --git a/pandas/tests/io/formats/test_format.py b/pandas/tests/io/formats/test_format.py
-index 191e3f37f..8a1d89197 100644
---- a/pandas/tests/io/formats/test_format.py
-+++ b/pandas/tests/io/formats/test_format.py
-@@ -1585,6 +1585,7 @@ c  10  11  12  13  14\
-         with option_context('display.max_rows', 60, 'display.max_columns', 20):
-             assert '...' in df._repr_html_()
- 
-+    @pytest.mark.skip("Fails in Gentoo")
-     def test_info_repr(self):
-         max_rows = 60
-         max_cols = 20
-diff --git a/pandas/tests/io/json/test_ujson.py b/pandas/tests/io/json/test_ujson.py
-index 89acbfdc9..9c4b5c291 100644
---- a/pandas/tests/io/json/test_ujson.py
-+++ b/pandas/tests/io/json/test_ujson.py
-@@ -1097,6 +1097,7 @@ class TestNumpyJSONTests(object):
-         outp = ujson.decode(ujson.encode(arr), numpy=True, dtype=np.float32)
-         tm.assert_almost_equal(arr, outp)
- 
-+    @pytest.mark.skip("Fails on Gentoo")
-     def test_OdArray(self):
-         def will_raise():
-             ujson.encode(np.array(1))
diff --git a/dev-python/pandas/pandas-0.19.1.ebuild b/dev-python/pandas/pandas-0.19.1.ebuild
deleted file mode 100644
index c4c2ef5163e8..000000000000
--- a/dev-python/pandas/pandas-0.19.1.ebuild
+++ /dev/null
@@ -1,159 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-PYTHON_COMPAT=( python3_6 )
-PYTHON_REQ_USE="threads(+)"
-
-VIRTUALX_REQUIRED="manual"
-
-inherit distutils-r1 eutils flag-o-matic virtualx
-
-DESCRIPTION="Powerful data structures for data analysis and statistics"
-HOMEPAGE="https://pandas.pydata.org/"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="amd64 x86 ~amd64-linux ~x86-linux"
-IUSE="doc -minimal full-support test X"
-RESTRICT="!test? ( test )"
-
-MINIMAL_DEPEND="
-	>dev-python/numpy-1.7[${PYTHON_USEDEP}]
-	>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
-	dev-python/pytz[${PYTHON_USEDEP}]
-	!<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-	!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
-RECOMMENDED_DEPEND="
-	dev-python/bottleneck[${PYTHON_USEDEP}]
-	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]"
-OPTIONAL_DEPEND="
-	dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-	dev-python/blosc[${PYTHON_USEDEP}]
-	dev-python/boto[${PYTHON_USEDEP}]
-	|| ( dev-python/html5lib[${PYTHON_USEDEP}] dev-python/lxml[${PYTHON_USEDEP}] )
-	dev-python/httplib2[${PYTHON_USEDEP}]
-	dev-python/jinja[${PYTHON_USEDEP}]
-	dev-python/matplotlib[${PYTHON_USEDEP}]
-	|| ( >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] dev-python/xlsxwriter[${PYTHON_USEDEP}] )
-	>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
-	dev-python/rpy[${PYTHON_USEDEP}]
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	dev-python/statsmodels[${PYTHON_USEDEP}]
-	>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
-	dev-python/xlrd[${PYTHON_USEDEP}]
-	dev-python/xlwt[${PYTHON_USEDEP}]
-	sci-libs/scipy[${PYTHON_USEDEP}]
-	X? (
-		|| (
-			x11-misc/xclip
-			x11-misc/xsel
-		)
-	)
-	"
-
-DEPEND="${MINIMAL_DEPEND}
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	>=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
-	doc? (
-		${VIRTUALX_DEPEND}
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/html5lib[${PYTHON_USEDEP}]
-		dev-python/ipython[${PYTHON_USEDEP}]
-		dev-python/lxml[${PYTHON_USEDEP}]
-		dev-python/matplotlib[${PYTHON_USEDEP}]
-		>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
-		>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
-		dev-python/pytz[${PYTHON_USEDEP}]
-		dev-python/rpy[${PYTHON_USEDEP}]
-		>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
-		dev-python/xlrd[${PYTHON_USEDEP}]
-		dev-python/xlwt[${PYTHON_USEDEP}]
-		sci-libs/scipy[${PYTHON_USEDEP}]
-		x11-misc/xclip
-	)
-	test? (
-		${VIRTUALX_DEPEND}
-		${RECOMMENDED_DEPEND}
-		${OPTIONAL_DEPEND}
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/nose[${PYTHON_USEDEP}]
-		dev-python/pymysql[${PYTHON_USEDEP}]
-		dev-python/psycopg:2[${PYTHON_USEDEP}]
-		x11-misc/xclip
-		x11-misc/xsel
-	)"
-# dev-python/statsmodels invokes a circular dep
-#  hence rm from doc? ( ), again
-RDEPEND="
-	${MINIMAL_DEPEND}
-	!minimal? ( ${RECOMMENDED_DEPEND} )
-	full-support? ( ${OPTIONAL_DEPEND} )"
-
-PATCHES=(
-	"${FILESDIR}"/${P}-gapi.patch
-	"${FILESDIR}"/${P}-seqf.patch
-)
-
-python_prepare_all() {
-	# Prevent un-needed download during build
-	sed -e "/^              'sphinx.ext.intersphinx',/d" -i doc/source/conf.py || die
-
-	# https://github.com/pydata/pandas/issues/11299
-	sed \
-		-e 's:testOdArray:disable:g' \
-		-i pandas/io/tests/json/test_ujson.py || die
-
-	distutils-r1_python_prepare_all
-}
-
-python_compile_all() {
-	# To build docs the need be located in $BUILD_DIR,
-	# else PYTHONPATH points to unusable modules.
-	if use doc; then
-		cd "${BUILD_DIR}"/lib || die
-		cp -ar "${S}"/doc . && cd doc || die
-		LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html
-	fi
-}
-
-python_test() {
-	local test_pandas='not network and not disabled'
-	[[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
-	pushd  "${BUILD_DIR}"/lib > /dev/null
-	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
-	PYTHONPATH=. MPLCONFIGDIR=. \
-		virtx nosetests --verbosity=3 -A "${test_pandas}" pandas
-	popd > /dev/null
-}
-
-python_install_all() {
-	if use doc; then
-		dodoc -r "${BUILD_DIR}"/lib/doc/build/html
-		einfo "An initial build of docs is absent of references to statsmodels"
-		einfo "due to circular dependency. To have them included, emerge"
-		einfo "statsmodels next and re-emerge pandas with USE doc"
-	fi
-
-	distutils-r1_python_install_all
-}
-
-pkg_postinst() {
-	optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
-	optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
-	optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml
-	optfeature "for msgpack compression using blosc" dev-python/blosc
-	optfeature "necessary for Amazon S3 access" dev-python/boto
-	optfeature "needed for pandas.io.gbq" dev-python/httplib2 dev-python/setuptools dev-python/python-gflags ">=dev-python/google-api-python-client-1.2.0"
-	optfeature "Template engine for conditional HTML formatting" dev-python/jinja
-	optfeature "Plotting support" dev-python/matplotlib
-	optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
-	optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1"
-	optfeature "R I/O support" dev-python/rpy
-	optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
-	optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1"
-	optfeature "miscellaneous statistical functions" sci-libs/scipy
-	optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/pygtk x11-misc/xclip x11-misc/xsel
-}
diff --git a/dev-python/pandas/pandas-0.23.4.ebuild b/dev-python/pandas/pandas-0.23.4.ebuild
deleted file mode 100644
index d8ac3018bf48..000000000000
--- a/dev-python/pandas/pandas-0.23.4.ebuild
+++ /dev/null
@@ -1,169 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=6
-
-PYTHON_COMPAT=( python3_6 )
-PYTHON_REQ_USE="threads(+)"
-
-VIRTUALX_REQUIRED="manual"
-
-inherit distutils-r1 eutils flag-o-matic virtualx
-
-DESCRIPTION="Powerful data structures for data analysis and statistics"
-HOMEPAGE="https://pandas.pydata.org/"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="doc full-support minimal test X"
-RESTRICT="!test? ( test )"
-
-RECOMMENDED_DEPEND="
-	>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
-	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-"
-OPTIONAL_DEPEND="
-	dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-	dev-python/blosc[${PYTHON_USEDEP}]
-	dev-python/boto[${PYTHON_USEDEP}]
-	|| (
-		dev-python/html5lib[${PYTHON_USEDEP}]
-		dev-python/lxml[${PYTHON_USEDEP}]
-	)
-	dev-python/httplib2[${PYTHON_USEDEP}]
-	dev-python/jinja[${PYTHON_USEDEP}]
-	dev-python/matplotlib[${PYTHON_USEDEP}]
-	|| (
-		>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
-		dev-python/xlsxwriter[${PYTHON_USEDEP}]
-	)
-	>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
-	dev-python/rpy[${PYTHON_USEDEP}]
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	dev-python/statsmodels[${PYTHON_USEDEP}]
-	>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
-	>=dev-python/xarray-0.10.8[${PYTHON_USEDEP}]
-	dev-python/xlrd[${PYTHON_USEDEP}]
-	dev-python/xlwt[${PYTHON_USEDEP}]
-	sci-libs/scipy[${PYTHON_USEDEP}]
-	X? (
-		|| (
-			dev-python/PyQt5[${PYTHON_USEDEP}]
-		)
-		|| (
-			x11-misc/xclip
-			x11-misc/xsel
-		)
-	)
-"
-COMMON_DEPEND="
-	>dev-python/numpy-1.7[${PYTHON_USEDEP}]
-	>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
-	dev-python/pytz[${PYTHON_USEDEP}]
-"
-DEPEND="${COMMON_DEPEND}
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	>=dev-python/cython-0.23[${PYTHON_USEDEP}]
-	doc? (
-		${VIRTUALX_DEPEND}
-		app-text/pandoc
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/html5lib[${PYTHON_USEDEP}]
-		dev-python/ipython[${PYTHON_USEDEP}]
-		dev-python/lxml[${PYTHON_USEDEP}]
-		dev-python/matplotlib[${PYTHON_USEDEP}]
-		dev-python/nbsphinx[${PYTHON_USEDEP}]
-		>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
-		>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
-		dev-python/pytz[${PYTHON_USEDEP}]
-		dev-python/rpy[${PYTHON_USEDEP}]
-		>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
-		dev-python/xlrd[${PYTHON_USEDEP}]
-		dev-python/xlwt[${PYTHON_USEDEP}]
-		sci-libs/scipy[${PYTHON_USEDEP}]
-		x11-misc/xclip
-	)
-	test? (
-		${VIRTUALX_DEPEND}
-		${RECOMMENDED_DEPEND}
-		${OPTIONAL_DEPEND}
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/nose[${PYTHON_USEDEP}]
-		dev-python/pymysql[${PYTHON_USEDEP}]
-		dev-python/pytest[${PYTHON_USEDEP}]
-		dev-python/psycopg:2[${PYTHON_USEDEP}]
-		x11-misc/xclip
-		x11-misc/xsel
-	)
-"
-# dev-python/statsmodels invokes a circular dep
-#  hence rm from doc? ( ), again
-RDEPEND="${COMMON_DEPEND}
-	!<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-	!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]
-	!minimal? ( ${RECOMMENDED_DEPEND} )
-	full-support? ( ${OPTIONAL_DEPEND} )
-"
-
-S="${WORKDIR}/${P/_/}"
-
-PATCHES=(
-	"${FILESDIR}/${PN}-0.23.4-skip-broken-test.patch"
-)
-
-python_prepare_all() {
-	# Prevent un-needed download during build
-	sed -e "/^              'sphinx.ext.intersphinx',/d" \
-		-i doc/source/conf.py || die
-
-	distutils-r1_python_prepare_all
-}
-
-python_compile_all() {
-	# To build docs the need be located in $BUILD_DIR,
-	# else PYTHONPATH points to unusable modules.
-	if use doc; then
-		cd "${BUILD_DIR}"/lib || die
-		cp -ar "${S}"/doc . && cd doc || die
-		LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html
-	fi
-}
-
-python_test() {
-	pushd  "${BUILD_DIR}"/lib > /dev/null
-	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
-	PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \
-		-m "not single"
-	popd > /dev/null
-}
-
-python_install_all() {
-	if use doc; then
-		dodoc -r "${BUILD_DIR}"/lib/doc/build/html
-		einfo "An initial build of docs is absent of references to statsmodels"
-		einfo "due to circular dependency. To have them included, emerge"
-		einfo "statsmodels next and re-emerge pandas with USE doc"
-	fi
-
-	distutils-r1_python_install_all
-}
-
-pkg_postinst() {
-	optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
-	optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
-	optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup:4 dev-python/html5lib dev-python/lxml
-	optfeature "for msgpack compression using blosc" dev-python/blosc
-	optfeature "necessary for Amazon S3 access" dev-python/boto
-	optfeature "needed for pandas.io.gbq" dev-python/httplib2 dev-python/setuptools dev-python/python-gflags ">=dev-python/google-api-python-client-1.2.0"
-	optfeature "Template engine for conditional HTML formatting" dev-python/jinja
-	optfeature "Plotting support" dev-python/matplotlib
-	optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
-	optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1"
-	optfeature "R I/O support" dev-python/rpy
-	optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
-	optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1"
-	optfeature "miscellaneous statistical functions" sci-libs/scipy
-	optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel
-}