test

Author: chean.wei.khor

pandas/tests/arrays/categorical/test_constructors.py

@@ -689,7 +689,7 @@ def test_constructor_string_and_tuples(self):
         assert c.categories.equals(expected_index)
 
     def test_interval(self):
-        idx = pd.interval_range(0, 10, periods=10)
+        idx = pd.interval_range(0, 10, periods=10, inclusive="right")
         cat = Categorical(idx, categories=idx)
         expected_codes = np.arange(10, dtype="int8")
         tm.assert_numpy_array_equal(cat.codes, expected_codes)
@@ -717,7 +717,7 @@ def test_interval(self):
         tm.assert_index_equal(cat.categories, idx)
 
         # extra
-        values = pd.interval_range(8, 11, periods=3)
+        values = pd.interval_range(8, 11, periods=3, inclusive="right")
         cat = Categorical(values, categories=idx)
         expected_codes = np.array([8, 9, -1], dtype="int8")
         tm.assert_numpy_array_equal(cat.codes, expected_codes)

pandas/tests/frame/methods/test_round.py

@@ -210,7 +210,7 @@ def test_round_nonunique_categorical(self):
 
     def test_round_interval_category_columns(self):
         # GH#30063
-        columns = pd.CategoricalIndex(pd.interval_range(0, 2))
+        columns = pd.CategoricalIndex(pd.interval_range(0, 2, inclusive="right"))
         df = DataFrame([[0.66, 1.1], [0.3, 0.25]], columns=columns)
 
         result = df.round()

pandas/tests/indexes/interval/test_astype.py

@@ -117,7 +117,7 @@ def test_subtype_integer(self, subtype_start, subtype_end):
     @pytest.mark.xfail(reason="GH#15832")
     def test_subtype_integer_errors(self):
         # int64 -> uint64 fails with negative values
-        index = interval_range(-10, 10)
+        index = interval_range(-10, 10, inclusive="right")
         dtype = IntervalDtype("uint64", "right")
 
         # Until we decide what the exception message _should_ be, we
@@ -170,7 +170,7 @@ def test_subtype_integer_with_non_integer_borders(self, subtype):
 
     def test_subtype_integer_errors(self):
         # float64 -> uint64 fails with negative values
-        index = interval_range(-10.0, 10.0)
+        index = interval_range(-10.0, 10.0, inclusive="right")
         dtype = IntervalDtype("uint64", "right")
         msg = re.escape(
             "Cannot convert interval[float64, right] to interval[uint64, right]; "

pandas/tests/indexes/interval/test_interval_range.py

@@ -163,7 +163,9 @@ def test_no_invalid_float_truncation(self, start, end, freq):
             breaks = [0.5, 2.0, 3.5, 5.0, 6.5]
         expected = IntervalIndex.from_breaks(breaks)
 
-        result = interval_range(start=start, end=end, periods=4, freq=freq)
+        result = interval_range(
+            start=start, end=end, periods=4, freq=freq, inclusive="right"
+        )
         tm.assert_index_equal(result, expected)
 
     @pytest.mark.parametrize(
@@ -184,7 +186,7 @@ def test_no_invalid_float_truncation(self, start, end, freq):
     def test_linspace_dst_transition(self, start, mid, end):
         # GH 20976: linspace behavior defined from start/end/periods
         # accounts for the hour gained/lost during DST transition
-        result = interval_range(start=start, end=end, periods=2)
+        result = interval_range(start=start, end=end, periods=2, inclusive="right")
         expected = IntervalIndex.from_breaks([start, mid, end])
         tm.assert_index_equal(result, expected)
 

pandas/tests/indexing/test_loc.py

@@ -1497,7 +1497,7 @@ def test_loc_setitem_2d_to_1d_raises(self):
 
     def test_loc_getitem_interval_index(self):
         # GH#19977
-        index = pd.interval_range(start=0, periods=3)
+        index = pd.interval_range(start=0, periods=3, inclusive="right")
         df = DataFrame(
             [[1, 2, 3], [4, 5, 6], [7, 8, 9]], index=index, columns=["A", "B", "C"]
         )

pandas/tests/series/indexing/test_setitem.py

@@ -779,7 +779,7 @@ def test_index_putmask(self, obj, key, expected, val):
         pytest.param(
             # GH#45568 setting a valid NA value into IntervalDtype[int] should
             #  cast to IntervalDtype[float]
-            Series(interval_range(1, 5)),
+            Series(interval_range(1, 5, inclusive="right")),
             Series(
                 [Interval(1, 2), np.nan, Interval(3, 4), Interval(4, 5)],
                 dtype="interval[float64]",
@@ -1356,7 +1356,7 @@ class TestPeriodIntervalCoercion(CoercionTest):
     @pytest.fixture(
         params=[
             period_range("2016-01-01", periods=3, freq="D"),
-            interval_range(1, 5),
+            interval_range(1, 5, inclusive="right"),
         ]
     )
     def obj(self, request):