REF/TST: collect index tests

pandas/tests/indexes/datetimelike_/test_is_monotonic.py

@@ -0,0 +1,46 @@
+from pandas import (
+    Index,
+    NaT,
+    date_range,
+)
+
+
+def test_is_monotonic_with_nat():
+    # GH#31437
+    # PeriodIndex.is_monotonic should behave analogously to DatetimeIndex,
+    #  in particular never be monotonic when we have NaT
+    dti = date_range("2016-01-01", periods=3)
+    pi = dti.to_period("D")
+    tdi = Index(dti.view("timedelta64[ns]"))
+
+    for obj in [pi, pi._engine, dti, dti._engine, tdi, tdi._engine]:
+        if isinstance(obj, Index):
+            # i.e. not Engines
+            assert obj.is_monotonic
+        assert obj.is_monotonic_increasing
+        assert not obj.is_monotonic_decreasing
+        assert obj.is_unique
+
+    dti1 = dti.insert(0, NaT)
+    pi1 = dti1.to_period("D")
+    tdi1 = Index(dti1.view("timedelta64[ns]"))
+
+    for obj in [pi1, pi1._engine, dti1, dti1._engine, tdi1, tdi1._engine]:
+        if isinstance(obj, Index):
+            # i.e. not Engines
+            assert not obj.is_monotonic
+        assert not obj.is_monotonic_increasing
+        assert not obj.is_monotonic_decreasing
+        assert obj.is_unique
+
+    dti2 = dti.insert(3, NaT)
+    pi2 = dti2.to_period("H")
+    tdi2 = Index(dti2.view("timedelta64[ns]"))
+
+    for obj in [pi2, pi2._engine, dti2, dti2._engine, tdi2, tdi2._engine]:
+        if isinstance(obj, Index):
+            # i.e. not Engines
+            assert not obj.is_monotonic
+        assert not obj.is_monotonic_increasing
+        assert not obj.is_monotonic_decreasing
+        assert obj.is_unique

pandas/tests/indexes/datetimes/methods/test_isocalendar.py

@@ -0,0 +1,20 @@
+from pandas import (
+    DataFrame,
+    DatetimeIndex,
+)
+import pandas._testing as tm
+
+
+def test_isocalendar_returns_correct_values_close_to_new_year_with_tz():
+    # GH#6538: Check that DatetimeIndex and its TimeStamp elements
+    # return the same weekofyear accessor close to new year w/ tz
+    dates = ["2013/12/29", "2013/12/30", "2013/12/31"]
+    dates = DatetimeIndex(dates, tz="Europe/Brussels")
+    result = dates.isocalendar()
+    expected_data_frame = DataFrame(
+        [[2013, 52, 7], [2014, 1, 1], [2014, 1, 2]],
+        columns=["year", "week", "day"],
+        index=dates,
+        dtype="UInt32",
+    )
+    tm.assert_frame_equal(result, expected_data_frame)

pandas/tests/indexes/datetimes/test_asof.py

@@ -1,8 +1,12 @@
+from datetime import timedelta
+
 from pandas import (
     Index,
     Timestamp,
     date_range,
+    isna,
 )
+import pandas._testing as tm
 
 
 class TestAsOf:
@@ -12,3 +16,16 @@ def test_asof_partial(self):
         result = index.asof("2010-02")
         assert result == expected
         assert not isinstance(result, Index)
+
+    def test_asof(self):
+        index = tm.makeDateIndex(100)
+
+        dt = index[0]
+        assert index.asof(dt) == dt
+        assert isna(index.asof(dt - timedelta(1)))
+
+        dt = index[-1]
+        assert index.asof(dt + timedelta(1)) == dt
+
+        dt = index[0].to_pydatetime()
+        assert isinstance(index.asof(dt), Timestamp)

pandas/tests/indexes/datetimes/test_freq_attr.py

@@ -0,0 +1,61 @@
+import pytest
+
+from pandas import (
+    DatetimeIndex,
+    date_range,
+)
+
+from pandas.tseries.offsets import (
+    BDay,
+    DateOffset,
+    Day,
+    Hour,
+)
+
+
+class TestFreq:
+    def test_freq_setter_errors(self):
+        # GH#20678
+        idx = DatetimeIndex(["20180101", "20180103", "20180105"])
+
+        # setting with an incompatible freq
+        msg = (
+            "Inferred frequency 2D from passed values does not conform to "
+            "passed frequency 5D"
+        )
+        with pytest.raises(ValueError, match=msg):
+            idx._data.freq = "5D"
+
+        # setting with non-freq string
+        with pytest.raises(ValueError, match="Invalid frequency"):
+            idx._data.freq = "foo"
+
+    @pytest.mark.parametrize("values", [["20180101", "20180103", "20180105"], []])
+    @pytest.mark.parametrize("freq", ["2D", Day(2), "2B", BDay(2), "48H", Hour(48)])
+    @pytest.mark.parametrize("tz", [None, "US/Eastern"])
+    def test_freq_setter(self, values, freq, tz):
+        # GH#20678
+        idx = DatetimeIndex(values, tz=tz)
+
+        # can set to an offset, converting from string if necessary
+        idx._data.freq = freq
+        assert idx.freq == freq
+        assert isinstance(idx.freq, DateOffset)
+
+        # can reset to None
+        idx._data.freq = None
+        assert idx.freq is None
+
+    def test_freq_view_safe(self):
+        # Setting the freq for one DatetimeIndex shouldn't alter the freq
+        #  for another that views the same data
+
+        dti = date_range("2016-01-01", periods=5)
+        dta = dti._data
+
+        dti2 = DatetimeIndex(dta)._with_freq(None)
+        assert dti2.freq is None
+
+        # Original was not altered
+        assert dti.freq == "D"
+        assert dta.freq == "D"

pandas/tests/indexes/datetimes/test_misc.py

@@ -297,21 +297,6 @@ def test_week_and_weekofyear_are_deprecated():
         idx.weekofyear
 
 
-def test_isocalendar_returns_correct_values_close_to_new_year_with_tz():
-    # GH 6538: Check that DatetimeIndex and its TimeStamp elements
-    # return the same weekofyear accessor close to new year w/ tz
-    dates = ["2013/12/29", "2013/12/30", "2013/12/31"]
-    dates = DatetimeIndex(dates, tz="Europe/Brussels")
-    result = dates.isocalendar()
-    expected_data_frame = pd.DataFrame(
-        [[2013, 52, 7], [2014, 1, 1], [2014, 1, 2]],
-        columns=["year", "week", "day"],
-        index=dates,
-        dtype="UInt32",
-    )
-    tm.assert_frame_equal(result, expected_data_frame)
-
-
 def test_add_timedelta_preserves_freq():
     # GH#37295 should hold for any DTI with freq=None or Tick freq
     tz = "Canada/Eastern"

pandas/tests/indexes/datetimes/test_ops.py

@@ -6,43 +6,17 @@
 from pandas.compat import IS64
 
 from pandas import (
-    DateOffset,
     DatetimeIndex,
     Index,
-    Series,
     bdate_range,
     date_range,
 )
 import pandas._testing as tm
 
-from pandas.tseries.offsets import (
-    BDay,
-    Day,
-    Hour,
-)
-
 START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
 
 
 class TestDatetimeIndexOps:
-    def test_ops_properties_basic(self, datetime_series):
-
-        # sanity check that the behavior didn't change
-        # GH#7206
-        for op in ["year", "day", "second", "weekday"]:
-            msg = f"'Series' object has no attribute '{op}'"
-            with pytest.raises(AttributeError, match=msg):
-                getattr(datetime_series, op)
-
-        # attribute access should still work!
-        s = Series({"year": 2000, "month": 1, "day": 10})
-        assert s.year == 2000
-        assert s.month == 1
-        assert s.day == 10
-        msg = "'Series' object has no attribute 'weekday'"
-        with pytest.raises(AttributeError, match=msg):
-            s.weekday
-
     @pytest.mark.parametrize(
         "freq,expected",
         [
@@ -74,72 +48,28 @@ def test_infer_freq(self, freq_sample):
         tm.assert_index_equal(idx, result)
         assert result.freq == freq_sample
 
-    @pytest.mark.parametrize("values", [["20180101", "20180103", "20180105"], []])
-    @pytest.mark.parametrize("freq", ["2D", Day(2), "2B", BDay(2), "48H", Hour(48)])
-    @pytest.mark.parametrize("tz", [None, "US/Eastern"])
-    def test_freq_setter(self, values, freq, tz):
-        # GH 20678
-        idx = DatetimeIndex(values, tz=tz)
-
-        # can set to an offset, converting from string if necessary
-        idx._data.freq = freq
-        assert idx.freq == freq
-        assert isinstance(idx.freq, DateOffset)
-
-        # can reset to None
-        idx._data.freq = None
-        assert idx.freq is None
-
-    def test_freq_setter_errors(self):
-        # GH 20678
-        idx = DatetimeIndex(["20180101", "20180103", "20180105"])
-
-        # setting with an incompatible freq
-        msg = (
-            "Inferred frequency 2D from passed values does not conform to "
-            "passed frequency 5D"
-        )
-        with pytest.raises(ValueError, match=msg):
-            idx._data.freq = "5D"
-
-        # setting with non-freq string
-        with pytest.raises(ValueError, match="Invalid frequency"):
-            idx._data.freq = "foo"
-
-    def test_freq_view_safe(self):
-        # Setting the freq for one DatetimeIndex shouldn't alter the freq
-        #  for another that views the same data
-
-        dti = date_range("2016-01-01", periods=5)
-        dta = dti._data
-
-        dti2 = DatetimeIndex(dta)._with_freq(None)
-        assert dti2.freq is None
-
-        # Original was not altered
-        assert dti.freq == "D"
-        assert dta.freq == "D"
-
 
+@pytest.mark.parametrize("freq", ["B", "C"])
 class TestBusinessDatetimeIndex:
-    def setup_method(self, method):
-        self.rng = bdate_range(START, END)
+    @pytest.fixture
+    def rng(self, freq):
+        return bdate_range(START, END, freq=freq)
 
-    def test_comparison(self):
-        d = self.rng[10]
+    def test_comparison(self, rng):
+        d = rng[10]
 
-        comp = self.rng > d
+        comp = rng > d
         assert comp[11]
         assert not comp[9]
 
-    def test_copy(self):
-        cp = self.rng.copy()
+    def test_copy(self, rng):
+        cp = rng.copy()
         repr(cp)
-        tm.assert_index_equal(cp, self.rng)
+        tm.assert_index_equal(cp, rng)
 
-    def test_identical(self):
-        t1 = self.rng.copy()
-        t2 = self.rng.copy()
+    def test_identical(self, rng):
+        t1 = rng.copy()
+        t2 = rng.copy()
         assert t1.identical(t2)
 
         # name
@@ -153,20 +83,3 @@ def test_identical(self):
         t2v = Index(t2.values)
         assert t1.equals(t2v)
         assert not t1.identical(t2v)
-
-
-class TestCustomDatetimeIndex:
-    def setup_method(self, method):
-        self.rng = bdate_range(START, END, freq="C")
-
-    def test_comparison(self):
-        d = self.rng[10]
-
-        comp = self.rng > d
-        assert comp[11]
-        assert not comp[9]
-
-    def test_copy(self):
-        cp = self.rng.copy()
-        repr(cp)
-        tm.assert_index_equal(cp, self.rng)

pandas/tests/indexes/period/test_freq_attr.py

@@ -0,0 +1,21 @@
+import pytest
+
+from pandas import (
+    offsets,
+    period_range,
+)
+import pandas._testing as tm
+
+
+class TestFreq:
+    def test_freq_setter_deprecated(self):
+        # GH#20678
+        idx = period_range("2018Q1", periods=4, freq="Q")
+
+        # no warning for getter
+        with tm.assert_produces_warning(None):
+            idx.freq
+
+        # warning for setter
+        with pytest.raises(AttributeError, match="can't set attribute"):
+            idx.freq = offsets.Day()