wip

Author: MarcoGorelli

pandas/tests/series/methods/test_convert_dtypes.py

@@ -164,12 +164,6 @@ class TestSeriesConvertDtypes:
                 pd.PeriodDtype("M"),
                 {},
             ),
-            (
-                pd.arrays.IntervalArray([pd.Interval(0, 1), pd.Interval(1, 5)]),
-                None,
-                pd.IntervalDtype("int64", "right"),
-                {},
-            ),
         ],
     )
     @pytest.mark.parametrize("params", product(*[(True, False)] * 5))
@@ -230,11 +224,7 @@ def test_convert_dtypes(
         # Test that it is a copy
         copy = series.copy(deep=True)
 
-        if result.notna().sum() > 0 and result.dtype in ["interval[int64, right]"]:
-            with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
-                result[result.notna()] = np.nan
-        else:
-            result[result.notna()] = np.nan
+        result[result.notna()] = np.nan
 
         # Make sure original not changed
         tm.assert_series_equal(series, copy)