reinit the tree, so we can have metadata

12 files changed, 1534 insertions, 0 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
new file mode 100644
index 000000000000..40077037a5d4
--- /dev/null
+++ b/dev-python/pandas/Manifest
@@ -0,0 +1,19 @@
+AUX pandas-0.17.0-testfix-backport.patch 1175 SHA256 15be2b513d47cc9b6190a028018e4e6ca7402b8dfdbbbd9623f722b978bfeb9a SHA512 1b59919c6a3e3d835af3f1fac2350db596fa420a02f405a4b0de4a751c2a762606557306e4b42cf696730a0c104ef10544a4d0f82a64a6839b38ba14245f30ef WHIRLPOOL 1c7c36c230357828cc2cc6319308ea04bdfc651d5f8fb85c9c386be4c08b70b126d0a7122d801410e3b7e12ed3344bda31217163fd4aee2133ccdd6fb1224d02
+AUX pandas-0.19.1-gapi.patch 799 SHA256 6f5a49af6561f87c1dab007d8b9c3ae55cff297ac4f9641b195b3f957c6b682c SHA512 b1a4e7c5f480efadfaf70caaa3293cb3f16ebf36c4705597a22ecc06de7e5b2379ddb4061279d669d2c66d3ef149a74f300ec1127bd441ad1b9288cb9233c781 WHIRLPOOL d0c5c0e7b545c3ba0c9725a1a9ace994013ffc0e2bf3f86e9b0dd178a900c5a5fa789c6c2668a2be58ce06d91feeac5625bcee50a2a2f74a25fa1f7794d1e44a
+AUX pandas-0.19.1-seqf.patch 14381 SHA256 d8ff9c6bc98029f9f1d112551f5e5794bc7344aef3651c1d4da5f7b5c7729a38 SHA512 b5675c89e087d47b94cfb036047b396d5a94b74bc03e95c92d5152bfc5598feddba88a781b6a11e533c46ba638aa50f0814d383c20d95f4e091deaee480b6d3e WHIRLPOOL 281f3bb00e3d1351b450b42d0c7eba01ff2c53d8f4a2b8b4f7b17ba0f257c771e5e45dfa5d6fe46180ed3e8030e12126729bf8c7c1543445d10715cf1fa34295
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+DIST pandas-0.20.1.tar.gz 10307434 SHA256 42707365577ef69f7c9c168ddcf045df2957595a9ee71bc13c7997eecb96b190 SHA512 d477a815914c825efd6430f7eb19f3f9115c1c4ab03000ca6d4f64023f7b5f53eff512792fea2d8b33c7febb3667fc3a3de55f11eeb453f285cae40e6b473707 WHIRLPOOL fca35c7178441e3cfe990740aecba923d8b3d56d70fa7b0285b09305a0d2f7a6ad01bb906d6d92748a038a3841cda783f01f75f93b67f15c53c9854a43819841
+DIST pandas-0.20.3.tar.gz 10402185 SHA256 a777e07633d83d546c55706420179551c8e01075b53c497dcf8ae4036766bc66 SHA512 891c7e04d075f96fadf3775e903472e279eaeaa4509eb0da81a74261a3ed86ff309de0b5a2c100ee93dd968fed1df6d7e426ca78785b2b36785fe7679218fdc5 WHIRLPOOL 7a2a09e0a0d74cad4c8c89b63ecebad73e8defc99f17cbcd0ab56ca23cf9b1eb7c142b07d52ce9e53c7409ace0d4f71df9c855fef9817fa74f48b90bb51e6cf5
+EBUILD pandas-0.16.2.ebuild 3830 SHA256 adb7f62f0dee72f210d8cfd4db81f63b9bb637ec5e44e102c7dfddf5eec4c537 SHA512 b6e18279292c1772e5d9527e5f4baf520d07f30ee45e3604946cdc2b1731f881519815c229bdda41b2a02740c04f3d70fce6210bac094fb55c23fc5364970808 WHIRLPOOL e7d7002d9a4b2d7c6266bf2fce66206646e81b93079571df695e383eb9648959bec0fafe876db9e3cff171d1dbd1eb8cda5773b4cb32fef1649e9aa75d10ab6f
+EBUILD pandas-0.17.0.ebuild 3983 SHA256 beaa01d095778ec8077b6808cc4bbeae94fb46d4fc15457d013d08d9572f2896 SHA512 6a70c8b7045218f70ade388bde921c0f48c70344623d3ccaa4c0c7dd0ed35198da14e5faa28d1b16ed3a3ff88e174e662c53c2bb5cd6186464e8b718c97d84c7 WHIRLPOOL f6c424e2630317aa93923cfa6608ca2a36b2351bc221188522f300a4ad0428728918bd036c75652cbc64362ec73160c9bff24614b546e9cb844ebe629be743c8
+EBUILD pandas-0.17.1.ebuild 5955 SHA256 0eb646b49a97be79d185e37e455f377ea5d91d6b48f06bfb76c904077a45b73f SHA512 7fd34871cdf5178536c45416c2fcb39d76e3fa3355cee9ce39e44a228da6cb929980e52727683ece946328d0acd7f8a9072f60e1d696d9f00fea7b07f187f941 WHIRLPOOL 56731bb06b8b717fcd1fc4edc1eff9278e90e4bc8247dc93bc749a66a11a4ee04f5e3e56c29a666e5ec27b5e0513bc6f45f4ce716db32e44cd74fddd091159a5
+EBUILD pandas-0.19.1.ebuild 5913 SHA256 64b156ca01585a8e069ec8941e541e0b035f7f03cb207a4f72591932e80c702b SHA512 6e88582440d02ad3adf338692082ff671c0c4f93f56adb029abfa5dea7210de30308371f990e4b2bbcdfbd510040e40c18a373123a862099d779993f81dda714 WHIRLPOOL e5696d87bc8de493d5e9e0e337e760bf8f06ac6115e18801aa549dbf2ad8e5a26987e27bb7f10166dd0c0e42d0b1a3437ce13ddfc1bb8eb145d11f44067d7af2
+EBUILD pandas-0.20.1.ebuild 5846 SHA256 91d2305d0e0b90a65f176516f1234e986170011051c4678d89ca342bc4da4d9b SHA512 9bb42445edb8f4dc62df830e30b8ea2e0856bf214f0621d7cbecebd2adc142bc2a4031e162e9ff93daf5f600d9e405386a32dca515fa6433f91e962c8ae00c37 WHIRLPOOL 864bd412aed25ece04bae43dd77bc729420725b4b26532dc726c09060d6ee8a755f4f6b19207aed5a51640cfbaa8bfa3ac562b55e3f43a68329a2dcd83286b0f
+EBUILD pandas-0.20.3.ebuild 5759 SHA256 e76501b5e8add675f43eacb4ef26148873b069cb561170dbcf936c05386a24ae SHA512 fe6f54a082a50d4ab3edb16c9b2f11cae1440027b06e35b539133b76584c9ae615fa9f72a70328df26de7012c67d250574e47ec0b443eb84e480792b6743846b WHIRLPOOL ca0ec9509718f44a013ac116880a8a0c30f8e96be7340b7e463fbb08406e296eca92b6f8c6cbb82aa8ba2fae179804524cb905b5540427eb7bb0d2c319f01e54
+EBUILD pandas-9999.ebuild 5830 SHA256 6efa18dc578cd73a3cba94fce93931d15f2fa1365d97ddb5e66477273bcf2894 SHA512 b3bacfba75d58b10f0e4861ed7df8127af02ad4b65c71af58a5b68f43df23b0cb9c0646a720edd9f1dbdcc1a7fc59bbfd7d086428cc8e4439b46de24acfc18d7 WHIRLPOOL 65ace82bc9b30006db27ba7a19e919291dad9056175fdbb22b8e9607b0fbe1284f7be30ae380bb8780f6c52a0b74afe4b502a3401034477cd5029ee0f3ede9f9
+MISC ChangeLog 4521 SHA256 c5050821f598293335c7600f041544d671b964bc4aaa192a04be72120c57aef1 SHA512 1545d2199a02c8e38a7946dbe14ad91f3d5223976465512b8a30fe5e888ad611b88fbcdfe5b79efad6c153f973512cb7dc8a716c64d83c813060174141e5c4bd WHIRLPOOL bed06c4bec34e08d98781062da2c55d4840073132c45e5b253413c9612cb763af609f95a34d64fc51a2779cc8bf08d6026c016052d87a7f7413faf4991a644b4
+MISC ChangeLog-2015 9042 SHA256 987166649cbcd0aade8afe74fd18ff40230753dde4655205ec8d878cd3fbf114 SHA512 223baba993032a339753768ec7538b244f1c6bc812f0fc18327bebbc5005c159ac2f98213669f5daae29eaaa18c2bc84306239bb6714643436b1f02e59def4c3 WHIRLPOOL 5b96a18d1d7349200e7665c3ea263b0d1d22224c66f930949a9196d7c2ff36fd3903a2302d93e58ed2504a37ec286091d4586cc1c2c27ccc6ef56ba53e4876bb
+MISC metadata.xml 1077 SHA256 e4a2642d0377f1bb1abcc5f657d6c5aa608e08f652a84e1cfdeddea988f466eb SHA512 60b23a75873ded48dd01a36dae62f45f1cf5d044b88b125bda249fd6cf558ddef42d6677218053ed9d73de31da54f1f85bd1f64eab9b377f1a8b51fe1c510308 WHIRLPOOL af582dd02005329c1483d0c7e1b52856e98151c5d04d97480d1936ffe7ccdaaeb00cb679efd1aa8f092ab1ce5fcf807be9f5de00cc559f4bc1b8b2f02564836b
diff --git a/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch b/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch
new file mode 100644
index 000000000000..c83319256f22
--- /dev/null
+++ b/dev-python/pandas/files/pandas-0.17.0-testfix-backport.patch
@@ -0,0 +1,28 @@
+ pandas/tests/test_categorical.py | 10 ++++++----
+ 1 file changed, 6 insertions(+), 4 deletions(-)
+
+diff --git a/pandas/tests/test_categorical.py b/pandas/tests/test_categorical.py
+old mode 100755
+new mode 100644
+index e97010e..1d14323
+--- a/pandas/tests/test_categorical.py
++++ b/pandas/tests/test_categorical.py
+@@ -86,12 +86,14 @@ class TestCategorical(tm.TestCase):
+         factor = Categorical.from_array(arr, ordered=False)
+         self.assertFalse(factor.ordered)
+ 
+-        # this however will raise as cannot be sorted
+-        # but fixed in newer versions of numpy
+-        if LooseVersion(np.__version__) < "1.10":
++        if compat.PY3:
+             self.assertRaises(TypeError, lambda :  Categorical.from_array(arr, ordered=True))
+         else:
+-            Categorical.from_array(arr, ordered=True)
++            # this however will raise as cannot be sorted (on PY3 or older numpies)
++            if LooseVersion(np.__version__) < "1.10":
++                self.assertRaises(TypeError, lambda :  Categorical.from_array(arr, ordered=True))
++            else:
++                Categorical.from_array(arr, ordered=True)
+ 
+     def test_is_equal_dtype(self):
+ 
diff --git a/dev-python/pandas/files/pandas-0.19.1-gapi.patch b/dev-python/pandas/files/pandas-0.19.1-gapi.patch
new file mode 100644
index 000000000000..7a0456fdacfc
--- /dev/null
+++ b/dev-python/pandas/files/pandas-0.19.1-gapi.patch
@@ -0,0 +1,27 @@
+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
new file mode 100644
index 000000000000..c82c14ff8fdd
--- /dev/null
+++ b/dev-python/pandas/files/pandas-0.19.1-seqf.patch
@@ -0,0 +1,357 @@
+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/metadata.xml b/dev-python/pandas/metadata.xml
new file mode 100644
index 000000000000..2633bf05b9c0
--- /dev/null
+++ b/dev-python/pandas/metadata.xml
@@ -0,0 +1,25 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+  <maintainer type="project">
+    <email>sci@gentoo.org</email>
+    <name>Gentoo Science Project</name>
+  </maintainer>
+  <longdescription lang="en">
+  Pandas is a Python package providing fast, flexible, and expressive
+  data structures designed to make working with "relational" or
+  "labeled" data both easy and intuitive. It aims to be the
+  fundamental high-level building block for doing practical, real
+  world data analysis in Python. 
+</longdescription>
+  <use>
+    <flag name="full-support">Pull all packages to give pandas full support</flag>
+    <flag name="excel">Pull a few Python packages for Microsoft Excel i/o</flag>
+    <flag name="html">Enable HTML i/o via <pkg>dev-python/beautifulsoup</pkg></flag>
+    <flag name="R">Enable support for R via <pkg>dev-python/rpy</pkg></flag>
+  </use>
+  <upstream>
+    <remote-id type="pypi">pandas</remote-id>
+    <remote-id type="github">pandas-dev/pandas</remote-id>
+  </upstream>
+</pkgmetadata>
diff --git a/dev-python/pandas/pandas-0.16.2.ebuild b/dev-python/pandas/pandas-0.16.2.ebuild
new file mode 100644
index 000000000000..7b2da1706956
--- /dev/null
+++ b/dev-python/pandas/pandas-0.16.2.ebuild
@@ -0,0 +1,128 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+PYTHON_REQ_USE="threads(+)"
+
+inherit distutils-r1 eutils flag-o-matic virtualx
+
+DESCRIPTION="Powerful data structures for data analysis and statistics"
+HOMEPAGE="http://pandas.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="amd64 x86 ~amd64-linux ~x86-linux"
+IUSE="doc excel html test R"
+
+EXTRA_DEPEND="
+	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	dev-python/openpyxl[${PYTHON_USEDEP}]
+	dev-python/pymysql[${PYTHON_USEDEP}]
+	dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	dev-python/psycopg:2[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${PYTHON_USEDEP}]
+	dev-python/sqlalchemy[${PYTHON_USEDEP}]
+	"
+CDEPEND="
+	>dev-python/numpy-1.7[${PYTHON_USEDEP}]
+	>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
+	!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
+DEPEND="${CDEPEND}
+	>=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		dev-python/ipython[${PYTHON_USEDEP}]
+		dev-python/html5lib[${PYTHON_USEDEP}]
+		dev-python/lxml[${PYTHON_USEDEP}]
+		dev-python/matplotlib[${PYTHON_USEDEP}]
+		>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
+		dev-python/openpyxl[${PYTHON_USEDEP}]
+		>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
+		dev-python/pytz[${PYTHON_USEDEP}]
+		dev-python/rpy[${PYTHON_USEDEP}]
+		sci-libs/scipy[${PYTHON_USEDEP}]
+		>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
+		dev-python/xlrd[$(python_gen_usedep 'python2_7')]
+		dev-python/xlwt[$(python_gen_usedep 'python2_7')]
+		x11-misc/xclip
+		)
+	test? (
+		${EXTRA_DEPEND}
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		dev-python/nose[${PYTHON_USEDEP}]
+		x11-misc/xclip
+		x11-misc/xsel
+		)"
+# dev-python/statsmodels invokes a circular dep
+#  hence rm from doc? ( ), again
+RDEPEND="${CDEPEND}
+	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
+	dev-python/bottleneck[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/pytables[${PYTHON_USEDEP}]
+	dev-python/pytz[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	excel? (
+		dev-python/xlrd[$(python_gen_usedep 'python2_7')]
+		dev-python/xlwt[$(python_gen_usedep 'python2_7')]
+		|| (
+			dev-python/xlsxwriter[${PYTHON_USEDEP}]
+			>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
+		)
+	)
+	html? (
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		|| (
+			dev-python/lxml[${PYTHON_USEDEP}]
+			dev-python/html5lib[${PYTHON_USEDEP}] )
+	)
+	R? ( dev-python/rpy[${PYTHON_USEDEP}] )"
+
+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 "${S}"/doc . && cd doc || die
+		LANG=C PYTHONPATH=. "${EPYTHON}" make.py html || die
+	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
+	VIRTUALX_COMMAND="nosetests"
+	PYTHONPATH=. MPLCONFIGDIR=. HOME=. \
+		virtualmake --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() {
+	local x
+	elog "Please install"
+	for x in ${EXTRA_DEPEND}; do
+		optfeature "additional functionality" "${x%%[*}"
+	done
+}
diff --git a/dev-python/pandas/pandas-0.17.0.ebuild b/dev-python/pandas/pandas-0.17.0.ebuild
new file mode 100644
index 000000000000..22a63f27a32a
--- /dev/null
+++ b/dev-python/pandas/pandas-0.17.0.ebuild
@@ -0,0 +1,137 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+PYTHON_REQ_USE="threads(+)"
+
+inherit distutils-r1 eutils flag-o-matic virtualx
+
+DESCRIPTION="Powerful data structures for data analysis and statistics"
+HOMEPAGE="http://pandas.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc excel html test R"
+
+EXTRA_DEPEND="
+	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	dev-python/openpyxl[${PYTHON_USEDEP}]
+	dev-python/pymysql[${PYTHON_USEDEP}]
+	dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	dev-python/psycopg:2[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${PYTHON_USEDEP}]
+	dev-python/sqlalchemy[${PYTHON_USEDEP}]
+	"
+CDEPEND="
+	>dev-python/numpy-1.7[${PYTHON_USEDEP}]
+	>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
+	!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
+DEPEND="${CDEPEND}
+	>=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
+	doc? (
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		dev-python/ipython[${PYTHON_USEDEP}]
+		dev-python/html5lib[${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}]
+		sci-libs/scipy[${PYTHON_USEDEP}]
+		>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
+		dev-python/xlrd[${PYTHON_USEDEP}]
+		dev-python/xlwt[${PYTHON_USEDEP}]
+		x11-misc/xclip
+		)
+	test? (
+		${EXTRA_DEPEND}
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		dev-python/nose[${PYTHON_USEDEP}]
+		x11-misc/xclip
+		x11-misc/xsel
+		)"
+# dev-python/statsmodels invokes a circular dep
+#  hence rm from doc? ( ), again
+RDEPEND="${CDEPEND}
+	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
+	dev-python/bottleneck[${PYTHON_USEDEP}]
+	dev-python/matplotlib[${PYTHON_USEDEP}]
+	dev-python/pytables[${PYTHON_USEDEP}]
+	dev-python/pytz[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	excel? (
+		dev-python/xlrd[${PYTHON_USEDEP}]
+		dev-python/xlwt[${PYTHON_USEDEP}]
+		|| (
+			dev-python/xlsxwriter[${PYTHON_USEDEP}]
+			>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
+		)
+	)
+	html? (
+		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
+		|| (
+			dev-python/lxml[${PYTHON_USEDEP}]
+			dev-python/html5lib[${PYTHON_USEDEP}] )
+	)
+	R? ( dev-python/rpy[${PYTHON_USEDEP}] )"
+
+PATCHES=(
+	"${FILESDIR}"/${P}-testfix-backport.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/test_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 "${S}"/doc . && cd doc || die
+		LANG=C PYTHONPATH=. "${EPYTHON}" make.py html || die
+	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
+	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+	VIRTUALX_COMMAND="nosetests"
+	PYTHONPATH=. MPLCONFIGDIR=. \
+		virtualmake --verbosity=3 -A "${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() {
+	local x
+	elog "Please install"
+	for x in ${EXTRA_DEPEND}; do
+		optfeature "additional functionality" "${x%%[*}"
+	done
+}
diff --git a/dev-python/pandas/pandas-0.17.1.ebuild b/dev-python/pandas/pandas-0.17.1.ebuild
new file mode 100644
index 000000000000..8ddf16d1d5b1
--- /dev/null
+++ b/dev-python/pandas/pandas-0.17.1.ebuild
@@ -0,0 +1,166 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+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="http://pandas.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc -minimal full-support test X"
+
+MINIMAL_DEPEND="
+	>dev-python/numpy-1.7[${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[${PYTHON_USEDEP}]
+	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	|| ( 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/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	dev-python/rpy[${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? (
+		|| (
+			dev-python/PyQt4[${PYTHON_USEDEP}]
+			dev-python/pyside[${PYTHON_USEDEP}]
+			dev-python/pygtk[$(python_gen_usedep python2_7)]
+		)
+		|| (
+			x11-misc/xclip
+			x11-misc/xsel
+		)
+	)
+	"
+
+DEPEND="${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}-testfix-backport.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/test_json/test_ujson.py || die
+
+	distutils-r1_python_prepare_all
+}
+
+python_compile_all() {
+	# To build docs the need be located in $BUILD_DIR,
+	# else PYTHONPATH points to unusable modules.
+	if use doc; then
+		VIRTUALX_COMMAND="${EPYTHON}"
+		cd "${BUILD_DIR}"/lib || die
+		cp -ar "${S}"/doc . && cd doc || die
+		LANG=C PYTHONPATH=. virtualmake make.py html || die
+	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
+	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+	VIRTUALX_COMMAND="nosetests"
+	PYTHONPATH=. MPLCONFIGDIR=. \
+		virtualmake --verbosity=3 -A "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}
diff --git a/dev-python/pandas/pandas-0.19.1.ebuild b/dev-python/pandas/pandas-0.19.1.ebuild
new file mode 100644
index 000000000000..4ed143486987
--- /dev/null
+++ b/dev-python/pandas/pandas-0.19.1.ebuild
@@ -0,0 +1,165 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+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="http://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"
+
+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/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	|| ( dev-python/html5lib[${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[${PYTHON_USEDEP}]
+	dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	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[${PYTHON_USEDEP}]
+	X? (
+		|| (
+			dev-python/PyQt4[${PYTHON_USEDEP}]
+			dev-python/pyside[${PYTHON_USEDEP}]
+			dev-python/pygtk[$(python_gen_usedep python2_7)]
+		)
+		|| (
+			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 ${EPYTHON} make.py html || die
+	fi
+}
+
+python_test() {
+	local test_pandas='not network and not disabled'
+	[[ -n "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}
diff --git a/dev-python/pandas/pandas-0.20.1.ebuild b/dev-python/pandas/pandas-0.20.1.ebuild
new file mode 100644
index 000000000000..9e3b7f8bd657
--- /dev/null
+++ b/dev-python/pandas/pandas-0.20.1.ebuild
@@ -0,0 +1,162 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+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="http://pandas.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc -minimal full-support test X"
+
+MINIMAL_DEPEND="
+	>dev-python/numpy-1.7[${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[${PYTHON_USEDEP}]
+	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	|| ( 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/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	dev-python/rpy[${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? (
+		|| (
+			dev-python/PyQt4[${PYTHON_USEDEP}]
+			dev-python/pyside[${PYTHON_USEDEP}]
+			dev-python/pygtk[$(python_gen_usedep python2_7)]
+		)
+		|| (
+			x11-misc/xclip
+			x11-misc/xsel
+		)
+	)
+	"
+
+DEPEND="${MINIMAL_DEPEND}
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	>=dev-python/cython-0.23[${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} )"
+
+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/tests/io/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 ${EPYTHON} make.py html || die
+	fi
+}
+
+python_test() {
+	local test_pandas='not network and not disabled'
+	[[ -n "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}
diff --git a/dev-python/pandas/pandas-0.20.3.ebuild b/dev-python/pandas/pandas-0.20.3.ebuild
new file mode 100644
index 000000000000..a28647857c1c
--- /dev/null
+++ b/dev-python/pandas/pandas-0.20.3.ebuild
@@ -0,0 +1,157 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+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="http://pandas.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc -minimal full-support test X"
+
+MINIMAL_DEPEND="
+	>dev-python/numpy-1.7[${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[${PYTHON_USEDEP}]
+	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	|| ( 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/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	dev-python/rpy[${PYTHON_USEDEP}]
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${PYTHON_USEDEP}]
+	>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
+	dev-python/xarray[${PYTHON_USEDEP}]
+	dev-python/xlrd[${PYTHON_USEDEP}]
+	dev-python/xlwt[${PYTHON_USEDEP}]
+	sci-libs/scipy[${PYTHON_USEDEP}]
+	X? (
+		|| (
+			dev-python/PyQt4[${PYTHON_USEDEP}]
+			dev-python/pyside[${PYTHON_USEDEP}]
+			dev-python/pygtk[$(python_gen_usedep python2_7)]
+		)
+		|| (
+			x11-misc/xclip
+			x11-misc/xsel
+		)
+	)
+	"
+
+DEPEND="${MINIMAL_DEPEND}
+	dev-python/setuptools[${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/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} )"
+
+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 ${EPYTHON} make.py html || die
+	fi
+}
+
+python_test() {
+	local test_pandas='not network and not disabled'
+	[[ -n "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}
diff --git a/dev-python/pandas/pandas-9999.ebuild b/dev-python/pandas/pandas-9999.ebuild
new file mode 100644
index 000000000000..c29b323ee1ac
--- /dev/null
+++ b/dev-python/pandas/pandas-9999.ebuild
@@ -0,0 +1,163 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 eutils flag-o-matic git-r3 virtualx
+
+DESCRIPTION="Powerful data structures for data analysis and statistics"
+HOMEPAGE="http://pandas.pydata.org/"
+SRC_URI=""
+EGIT_REPO_URI="https://github.com/pydata/pandas.git"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS=""
+IUSE="doc -minimal full-support test X"
+
+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/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
+	|| ( dev-python/html5lib[${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[${PYTHON_USEDEP}]
+	dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
+	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[${PYTHON_USEDEP}]
+	X? (
+		|| (
+			dev-python/PyQt4[${PYTHON_USEDEP}]
+			dev-python/pyside[${PYTHON_USEDEP}]
+			dev-python/pygtk[$(python_gen_usedep python2_7)]
+		)
+		|| (
+			x11-misc/xclip
+			x11-misc/xsel
+		)
+	)
+	"
+
+DEPEND="${MINIMAL_DEPEND}
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	>=dev-python/cython-0.23[${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} )"
+
+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/tests/io/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 ${EPYTHON} make.py html || die
+	fi
+}
+
+python_test() {
+	local test_pandas='not network and not disabled'
+	[[ -n "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}