fix various

pandas/tests/groupby/test_groupby.py

@@ -93,7 +93,9 @@ def test_groupby_nonobject_dtype(mframe, df_mixed_floats):
     result = grouped.sum()
 
     expected = mframe.groupby(key.astype("O")).sum()
-    tm.assert_frame_equal(result, expected)
+    assert result.index.dtype == np.int8
+    assert expected.index.dtype == np.int64
+    tm.assert_frame_equal(result, expected, check_index_type=False)
 
     # GH 3911, mixed frame non-conversion
     df = df_mixed_floats.copy()
@@ -228,6 +230,7 @@ def test_pass_args_kwargs_duplicate_columns(tsframe, as_index):
         2: tsframe[tsframe.index.month == 2].quantile(0.8),
     }
     expected = DataFrame(ex_data).T
+    expected.index = expected.index.astype(np.int32)
     if not as_index:
         # TODO: try to get this more consistent?
         expected.index = Index(range(2))
@@ -2813,7 +2816,7 @@ def test_groupby_overflow(val, dtype):
     result = df.groupby("a").sum()
     expected = DataFrame(
         {"b": [val * 2]},
-        index=Index([1], name="a", dtype=f"{dtype}64"),
+        index=Index([1], name="a", dtype=f"{dtype}8"),
         dtype=f"{dtype}64",
     )
     tm.assert_frame_equal(result, expected)
@@ -2825,7 +2828,7 @@ def test_groupby_overflow(val, dtype):
     result = df.groupby("a").prod()
     expected = DataFrame(
         {"b": [val * val]},
-        index=Index([1], name="a", dtype=f"{dtype}64"),
+        index=Index([1], name="a", dtype=f"{dtype}8"),
         dtype=f"{dtype}64",
     )
     tm.assert_frame_equal(result, expected)

pandas/tests/groupby/transform/test_transform.py

@@ -311,7 +311,7 @@ def test_transform_datetime_to_numeric():
         lambda x: x.dt.dayofweek - x.dt.dayofweek.min()
     )
 
-    expected = Series([0, 1], name="b")
+    expected = Series([0, 1], dtype=np.int32, name="b")
     tm.assert_series_equal(result, expected)
 
 

pandas/tests/indexing/multiindex/test_partial.py

@@ -160,9 +160,9 @@ def test_getitem_intkey_leading_level(
         mi = ser.index
         assert isinstance(mi, MultiIndex)
         if dtype is int:
-            assert isinstance(mi.levels[0], Int64Index)
+            assert mi.levels[0].dtype == np.int64
         else:
-            assert isinstance(mi.levels[0], Float64Index)
+            assert mi.levels[0].dtype == np.float64
 
         assert 14 not in mi.levels[0]
         assert not mi.levels[0]._should_fallback_to_positional

pandas/tests/indexing/test_loc.py

@@ -437,7 +437,7 @@ def test_loc_to_fail(self):
 
         # raise a KeyError?
         msg = (
-            r"\"None of \[Int64Index\(\[1, 2\], dtype='int64'\)\] are "
+            r"\"None of \[NumericIndex\(\[1, 2\], dtype='int64'\)\] are "
             r"in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):
@@ -455,7 +455,7 @@ def test_loc_to_fail2(self):
             s.loc[-1]
 
         msg = (
-            r"\"None of \[Int64Index\(\[-1, -2\], dtype='int64'\)\] are "
+            r"\"None of \[NumericIndex\(\[-1, -2\], dtype='int64'\)\] are "
             r"in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):
@@ -471,7 +471,7 @@ def test_loc_to_fail2(self):
 
         s["a"] = 2
         msg = (
-            r"\"None of \[Int64Index\(\[-2\], dtype='int64'\)\] are "
+            r"\"None of \[NumericIndex\(\[-2\], dtype='int64'\)\] are "
             r"in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):
@@ -488,7 +488,7 @@ def test_loc_to_fail3(self):
         df = DataFrame([["a"], ["b"]], index=[1, 2], columns=["value"])
 
         msg = (
-            r"\"None of \[Int64Index\(\[3\], dtype='int64'\)\] are "
+            r"\"None of \[NumericIndex\(\[3\], dtype='int64'\)\] are "
             r"in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):
@@ -508,7 +508,7 @@ def test_loc_getitem_list_with_fail(self):
         with pytest.raises(
             KeyError,
             match=re.escape(
-                "\"None of [Int64Index([3], dtype='int64')] are in the [index]\""
+                "\"None of [NumericIndex([3], dtype='int64')] are in the [index]\""
             ),
         ):
             s.loc[[3]]
@@ -1218,7 +1218,7 @@ def test_loc_setitem_empty_append_raises(self):
         df = DataFrame(columns=["x", "y"])
         df.index = df.index.astype(np.int64)
         msg = (
-            r"None of \[Int64Index\(\[0, 1\], dtype='int64'\)\] "
+            r"None of \[NumericIndex\(\[0, 1\], dtype='int64'\)\] "
             r"are in the \[index\]"
         )
         with pytest.raises(KeyError, match=msg):

pandas/tests/indexing/test_partial.py

@@ -403,7 +403,7 @@ def test_series_partial_set(self):
 
         # raises as nothing is in the index
         msg = (
-            r"\"None of \[Int64Index\(\[3, 3, 3\], dtype='int64'\)\] are "
+            r"\"None of \[NumericIndex\(\[3, 3, 3\], dtype='int64'\)\] are "
             r"in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):
@@ -484,7 +484,7 @@ def test_series_partial_set_with_name(self):
 
         # raises as nothing is in the index
         msg = (
-            r"\"None of \[Int64Index\(\[3, 3, 3\], dtype='int64', "
+            r"\"None of \[NumericIndex\(\[3, 3, 3\], dtype='int64', "
             r"name='idx'\)\] are in the \[index\]\""
         )
         with pytest.raises(KeyError, match=msg):

pandas/tests/resample/test_resample_api.py

@@ -648,7 +648,7 @@ def test_selection_api_validation():
     # non DatetimeIndex
     msg = (
         "Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, "
-        "but got an instance of 'Int64Index'"
+        "but got an instance of 'NumericIndex'"
     )
     with pytest.raises(TypeError, match=msg):
         df.resample("2D", level="v")