TST: Remaining tseries tests reorg

closes #14854
closes #15359

Author: TrigonaMinima

doc/source/whatsnew/v0.20.0.txt

@@ -371,6 +371,7 @@ Other API Changes
 - ``pandas.api.types.is_datetime64_ns_dtype`` will now report ``True`` on a tz-aware dtype, similar to ``pandas.api.types.is_datetime64_any_dtype``
 - ``DataFrame.asof()`` will return a null filled ``Series`` instead the scalar ``NaN`` if a match is not found (:issue:`15118`)
 - The :func:`pd.read_gbq` method now stores ``INTEGER`` columns as ``dtype=object`` if they contain ``NULL`` values. Otherwise they are stored as ``int64``. This prevents precision lost for integers greather than 2**53. Furthermore ``FLOAT`` columns with values above 10**4 are no more casted to ``int64`` which also caused precision lost (:issue: `14064`, :issue:`14305`).
+- Reorganization of timeseries development tests (:issue:`14854`)
 
 .. _whatsnew_0200.deprecations:
 

pandas/tests/indexes/datetimes/test_ops.py

@@ -7,10 +7,12 @@
 import pandas.util.testing as tm
 from pandas.core.common import PerformanceWarning
 from pandas.tseries.index import cdate_range
+from pandas.tseries.frequencies import get_offset, to_offset
 from pandas import (DatetimeIndex, PeriodIndex, Series, Timestamp, Timedelta,
                     date_range, TimedeltaIndex, _np_version_under1p10, Index,
                     datetime, Float64Index, offsets, bdate_range)
-from pandas.tseries.offsets import BMonthEnd, CDay, BDay
+from pandas.tseries.offsets import (BMonthEnd, CDay, BDay, Milli, MonthBegin,
+                                    Micro)
 from pandas.tests.test_base import Ops
 
 
@@ -911,6 +913,16 @@ def test_equals(self):
             self.assertFalse(idx.equals(list(idx3)))
             self.assertFalse(idx.equals(pd.Series(idx3)))
 
+    def test_ms_vs_MS(self):
+        left = get_offset('ms')
+        right = get_offset('MS')
+        self.assertEqual(left, Milli())
+        self.assertEqual(right, MonthBegin())
+
+    def test_rule_aliases(self):
+        rule = to_offset('10us')
+        self.assertEqual(rule, Micro(10))
+
 
 class TestDateTimeIndexToJulianDate(tm.TestCase):
 

pandas/tests/indexes/datetimes/test_setops.py

@@ -6,7 +6,7 @@
 import pandas.util.testing as tm
 from pandas.tseries.index import cdate_range
 from pandas import (DatetimeIndex, date_range, Series, bdate_range, DataFrame,
-                    Int64Index, Index)
+                    Int64Index, Index, to_datetime)
 from pandas.tseries.offsets import Minute, BMonthEnd, MonthEnd
 
 START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
@@ -190,6 +190,14 @@ def test_datetimeindex_union_join_empty(self):
         result = dti.join(empty)
         tm.assertIsInstance(result, DatetimeIndex)
 
+    def test_join_nonunique(self):
+        idx1 = to_datetime(['2012-11-06 16:00:11.477563',
+                            '2012-11-06 16:00:11.477563'])
+        idx2 = to_datetime(['2012-11-06 15:11:09.006507',
+                            '2012-11-06 15:11:09.006507'])
+        rs = idx1.join(idx2, how='outer')
+        self.assertTrue(rs.is_monotonic)
+
 
 class TestBusinessDatetimeIndex(tm.TestCase):
 

pandas/tseries/tests/__init__.py renamed to pandas/tests/tseries/__init__.py

@@ -648,13 +648,13 @@ def pxd(name):
                 'pandas.tests.series',
                 'pandas.tests.formats',
                 'pandas.tests.scalar',
+                'pandas.tests.tseries',
                 'pandas.tests.types',
                 'pandas.tests.test_msgpack',
                 'pandas.tests.plotting',
                 'pandas.tools',
                 'pandas.tools.tests',
                 'pandas.tseries',
-                'pandas.tseries.tests',
                 'pandas.types',
                 'pandas.io.tests',
                 'pandas.io.tests.json',
@@ -688,8 +688,7 @@ def pxd(name):
                     'pandas.tests': ['data/*.csv'],
                     'pandas.tests.formats': ['data/*.csv'],
                     'pandas.tests.indexes': ['data/*.pickle'],
-                    'pandas.tseries.tests': ['data/*.pickle',
-                                             'data/*.csv']
+                    'pandas.tests.tseries': ['data/*.pickle']
                     },
       ext_modules=extensions,
       maintainer_email=EMAIL,