wip

Author: MarcoGorelli

pandas/tests/series/indexing/test_where.py

@@ -42,27 +42,17 @@ def test_where_unsafe_float(float_numpy_dtype):
 @pytest.mark.parametrize(
     "dtype,expected_dtype",
     [
-        (np.int8, np.float64),
-        (np.int16, np.float64),
-        (np.int32, np.float64),
-        (np.int64, np.float64),
         (np.float32, np.float32),
         (np.float64, np.float64),
     ],
 )
-def test_where_unsafe_upcast(dtype, expected_dtype):
+def test_where_upcast(dtype, expected_dtype):
     # see gh-9743
     s = Series(np.arange(10), dtype=dtype)
     values = [2.5, 3.5, 4.5, 5.5, 6.5]
     mask = s < 5
     expected = Series(values + list(range(5, 10)), dtype=expected_dtype)
-    warn = (
-        None
-        if np.dtype(dtype).kind == np.dtype(expected_dtype).kind == "f"
-        else FutureWarning
-    )
-    with tm.assert_produces_warning(warn, match="incompatible dtype"):
-        s[mask] = values
+    s[mask] = values
     tm.assert_series_equal(s, expected)
 
 
@@ -74,10 +64,6 @@ def test_where_unsafe():
     mask = s > 5
     expected = Series(list(range(6)) + values, dtype="float64")
 
-    with tm.assert_produces_warning(FutureWarning, match="incompatible dtype"):
-        s[mask] = values
-    tm.assert_series_equal(s, expected)
-
     # see gh-3235
     s = Series(np.arange(10), dtype="int64")
     mask = s < 5