DEPR: Series setitem/getitem treating ints as positional (pandas-dev#58089)

* DEPR: Series setitem/getitem treating ints as positional

* 32bit build compat

* update exception message for numpy 2

Author: jbrockmendel

doc/source/whatsnew/v3.0.0.rst

@@ -221,6 +221,7 @@ Removal of prior version deprecations/changes
 - :meth:`SeriesGroupBy.agg` no longer pins the name of the group to the input passed to the provided ``func`` (:issue:`51703`)
 - All arguments except ``name`` in :meth:`Index.rename` are now keyword only (:issue:`56493`)
 - All arguments except the first ``path``-like argument in IO writers are now keyword only (:issue:`54229`)
+- Changed behavior of :meth:`Series.__getitem__` and :meth:`Series.__setitem__` to always treat integer keys as labels, never as positional, consistent with :class:`DataFrame` behavior (:issue:`50617`)
 - Disallow allowing logical operations (``||``, ``&``, ``^``) between pandas objects and dtype-less sequences (e.g. ``list``, ``tuple``); wrap the objects in :class:`Series`, :class:`Index`, or ``np.array`` first instead (:issue:`52264`)
 - Disallow automatic casting to object in :class:`Series` logical operations (``&``, ``^``, ``||``) between series with mismatched indexes and dtypes other than ``object`` or ``bool`` (:issue:`52538`)
 - Disallow calling :meth:`Series.replace` or :meth:`DataFrame.replace` without a ``value`` and with non-dict-like ``to_replace`` (:issue:`33302`)

pandas/core/series.py

@@ -901,19 +901,9 @@ def __getitem__(self, key):
         if isinstance(key, (list, tuple)):
             key = unpack_1tuple(key)
 
-        if is_integer(key) and self.index._should_fallback_to_positional:
-            warnings.warn(
-                # GH#50617
-                "Series.__getitem__ treating keys as positions is deprecated. "
-                "In a future version, integer keys will always be treated "
-                "as labels (consistent with DataFrame behavior). To access "
-                "a value by position, use `ser.iloc[pos]`",
-                FutureWarning,
-                stacklevel=find_stack_level(),
-            )
-            return self._values[key]
-
         elif key_is_scalar:
+            # Note: GH#50617 in 3.0 we changed int key to always be treated as
+            #  a label, matching DataFrame behavior.
             return self._get_value(key)
 
         # Convert generator to list before going through hashable part
@@ -958,35 +948,6 @@ def _get_with(self, key):
         elif isinstance(key, tuple):
             return self._get_values_tuple(key)
 
-        elif not is_list_like(key):
-            # e.g. scalars that aren't recognized by lib.is_scalar, GH#32684
-            return self.loc[key]
-
-        if not isinstance(key, (list, np.ndarray, ExtensionArray, Series, Index)):
-            key = list(key)
-
-        key_type = lib.infer_dtype(key, skipna=False)
-
-        # Note: The key_type == "boolean" case should be caught by the
-        #  com.is_bool_indexer check in __getitem__
-        if key_type == "integer":
-            # We need to decide whether to treat this as a positional indexer
-            #  (i.e. self.iloc) or label-based (i.e. self.loc)
-            if not self.index._should_fallback_to_positional:
-                return self.loc[key]
-            else:
-                warnings.warn(
-                    # GH#50617
-                    "Series.__getitem__ treating keys as positions is deprecated. "
-                    "In a future version, integer keys will always be treated "
-                    "as labels (consistent with DataFrame behavior). To access "
-                    "a value by position, use `ser.iloc[pos]`",
-                    FutureWarning,
-                    stacklevel=find_stack_level(),
-                )
-                return self.iloc[key]
-
-        # handle the dup indexing case GH#4246
         return self.loc[key]
 
     def _get_values_tuple(self, key: tuple):
@@ -1076,27 +1037,8 @@ def __setitem__(self, key, value) -> None:
         except KeyError:
             # We have a scalar (or for MultiIndex or object-dtype, scalar-like)
             #  key that is not present in self.index.
-            if is_integer(key):
-                if not self.index._should_fallback_to_positional:
-                    # GH#33469
-                    self.loc[key] = value
-                else:
-                    # positional setter
-                    # can't use _mgr.setitem_inplace yet bc could have *both*
-                    #  KeyError and then ValueError, xref GH#45070
-                    warnings.warn(
-                        # GH#50617
-                        "Series.__setitem__ treating keys as positions is deprecated. "
-                        "In a future version, integer keys will always be treated "
-                        "as labels (consistent with DataFrame behavior). To set "
-                        "a value by position, use `ser.iloc[pos] = value`",
-                        FutureWarning,
-                        stacklevel=find_stack_level(),
-                    )
-                    self._set_values(key, value)
-            else:
-                # GH#12862 adding a new key to the Series
-                self.loc[key] = value
+            # GH#12862 adding a new key to the Series
+            self.loc[key] = value
 
         except (TypeError, ValueError, LossySetitemError):
             # The key was OK, but we cannot set the value losslessly
@@ -1155,28 +1097,7 @@ def _set_with(self, key, value) -> None:
             # Without this, the call to infer_dtype will consume the generator
             key = list(key)
 
-        if not self.index._should_fallback_to_positional:
-            # Regardless of the key type, we're treating it as labels
-            self._set_labels(key, value)
-
-        else:
-            # Note: key_type == "boolean" should not occur because that
-            #  should be caught by the is_bool_indexer check in __setitem__
-            key_type = lib.infer_dtype(key, skipna=False)
-
-            if key_type == "integer":
-                warnings.warn(
-                    # GH#50617
-                    "Series.__setitem__ treating keys as positions is deprecated. "
-                    "In a future version, integer keys will always be treated "
-                    "as labels (consistent with DataFrame behavior). To set "
-                    "a value by position, use `ser.iloc[pos] = value`",
-                    FutureWarning,
-                    stacklevel=find_stack_level(),
-                )
-                self._set_values(key, value)
-            else:
-                self._set_labels(key, value)
+        self._set_labels(key, value)
 
     def _set_labels(self, key, value) -> None:
         key = com.asarray_tuplesafe(key)

pandas/tests/copy_view/test_indexing.py

@@ -622,16 +622,17 @@ def test_series_subset_set_with_indexer(backend, indexer_si, indexer):
     s_orig = s.copy()
     subset = s[:]
 
-    warn = None
-    msg = "Series.__setitem__ treating keys as positions is deprecated"
     if (
         indexer_si is tm.setitem
         and isinstance(indexer, np.ndarray)
         and indexer.dtype.kind == "i"
     ):
-        warn = FutureWarning
-    with tm.assert_produces_warning(warn, match=msg):
-        indexer_si(subset)[indexer] = 0
+        # In 3.0 we treat integers as always-labels
+        with pytest.raises(KeyError):
+            indexer_si(subset)[indexer] = 0
+        return
+
+    indexer_si(subset)[indexer] = 0
     expected = Series([0, 0, 3], index=["a", "b", "c"])
     tm.assert_series_equal(subset, expected)
 

pandas/tests/extension/base/getitem.py

@@ -329,11 +329,10 @@ def test_get(self, data):
         result = s.get("Z")
         assert result is None
 
-        msg = "Series.__getitem__ treating keys as positions is deprecated"
-        with tm.assert_produces_warning(FutureWarning, match=msg):
-            assert s.get(4) == s.iloc[4]
-            assert s.get(-1) == s.iloc[-1]
-            assert s.get(len(s)) is None
+        # As of 3.0, getitem with int keys treats them as labels
+        assert s.get(4) is None
+        assert s.get(-1) is None
+        assert s.get(len(s)) is None
 
         # GH 21257
         s = pd.Series(data)

pandas/tests/indexing/test_coercion.py

@@ -117,16 +117,8 @@ def test_setitem_index_object(self, val, exp_dtype):
         obj = pd.Series([1, 2, 3, 4], index=pd.Index(list("abcd"), dtype=object))
         assert obj.index.dtype == object
 
-        if exp_dtype is IndexError:
-            temp = obj.copy()
-            warn_msg = "Series.__setitem__ treating keys as positions is deprecated"
-            msg = "index 5 is out of bounds for axis 0 with size 4"
-            with pytest.raises(exp_dtype, match=msg):
-                with tm.assert_produces_warning(FutureWarning, match=warn_msg):
-                    temp[5] = 5
-        else:
-            exp_index = pd.Index(list("abcd") + [val], dtype=object)
-            self._assert_setitem_index_conversion(obj, val, exp_index, exp_dtype)
+        exp_index = pd.Index(list("abcd") + [val], dtype=object)
+        self._assert_setitem_index_conversion(obj, val, exp_index, exp_dtype)
 
     @pytest.mark.parametrize(
         "val,exp_dtype", [(5, np.int64), (1.1, np.float64), ("x", object)]

pandas/tests/indexing/test_floats.py

@@ -87,11 +87,11 @@ def test_scalar_non_numeric(self, index, frame_or_series, indexer_sl):
         ],
     )
     def test_scalar_non_numeric_series_fallback(self, index):
-        # fallsback to position selection, series only
+        # starting in 3.0, integer keys are always treated as labels, no longer
+        #  fall back to positional.
         s = Series(np.arange(len(index)), index=index)
 
-        msg = "Series.__getitem__ treating keys as positions is deprecated"
-        with tm.assert_produces_warning(FutureWarning, match=msg):
+        with pytest.raises(KeyError, match="3"):
             s[3]
         with pytest.raises(KeyError, match="^3.0$"):
             s[3.0]
@@ -118,12 +118,9 @@ def test_scalar_with_mixed(self, indexer_sl):
             indexer_sl(s3)[1.0]
 
         if indexer_sl is not tm.loc:
-            # __getitem__ falls back to positional
-            msg = "Series.__getitem__ treating keys as positions is deprecated"
-            with tm.assert_produces_warning(FutureWarning, match=msg):
-                result = s3[1]
-            expected = 2
-            assert result == expected
+            # as of 3.0, __getitem__ no longer falls back to positional
+            with pytest.raises(KeyError, match="^1$"):
+                s3[1]
 
         with pytest.raises(KeyError, match=r"^1\.0$"):
             indexer_sl(s3)[1.0]

pandas/tests/series/indexing/test_datetime.py

@@ -36,9 +36,6 @@ def test_fancy_getitem():
 
     s = Series(np.arange(len(dti)), index=dti)
 
-    msg = "Series.__getitem__ treating keys as positions is deprecated"
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        assert s[48] == 48
     assert s["1/2/2009"] == 48
     assert s["2009-1-2"] == 48
     assert s[datetime(2009, 1, 2)] == 48
@@ -57,10 +54,6 @@ def test_fancy_setitem():
 
     s = Series(np.arange(len(dti)), index=dti)
 
-    msg = "Series.__setitem__ treating keys as positions is deprecated"
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        s[48] = -1
-    assert s.iloc[48] == -1
     s["1/2/2009"] = -2
     assert s.iloc[48] == -2
     s["1/2/2009":"2009-06-05"] = -3

pandas/tests/series/indexing/test_get.py

@@ -157,13 +157,8 @@ def test_get_with_default():
             assert s.get("e", "z") == "z"
             assert s.get("e", "e") == "e"
 
-            msg = "Series.__getitem__ treating keys as positions is deprecated"
-            warn = None
-            if index is d0:
-                warn = FutureWarning
-            with tm.assert_produces_warning(warn, match=msg):
-                assert s.get(10, "z") == "z"
-                assert s.get(10, 10) == 10
+            assert s.get(10, "z") == "z"
+            assert s.get(10, 10) == 10
 
 
 @pytest.mark.parametrize(
@@ -201,13 +196,10 @@ def test_get_with_ea(arr):
     result = ser.get("Z")
     assert result is None
 
-    msg = "Series.__getitem__ treating keys as positions is deprecated"
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        assert ser.get(4) == ser.iloc[4]
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        assert ser.get(-1) == ser.iloc[-1]
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        assert ser.get(len(ser)) is None
+    # As of 3.0, ints are treated as labels
+    assert ser.get(4) is None
+    assert ser.get(-1) is None
+    assert ser.get(len(ser)) is None
 
     # GH#21257
     ser = Series(arr)
@@ -216,16 +208,14 @@ def test_get_with_ea(arr):
 
 
 def test_getitem_get(string_series, object_series):
-    msg = "Series.__getitem__ treating keys as positions is deprecated"
-
     for obj in [string_series, object_series]:
         idx = obj.index[5]
 
         assert obj[idx] == obj.get(idx)
         assert obj[idx] == obj.iloc[5]
 
-    with tm.assert_produces_warning(FutureWarning, match=msg):
-        assert string_series.get(-1) == string_series.get(string_series.index[-1])
+    # As of 3.0, ints are treated as labels
+    assert string_series.get(-1) is None
     assert string_series.iloc[5] == string_series.get(string_series.index[5])