Regression in merge_asof raising KeyError when at least one by column is in index (#42692)

Author: phofl

doc/source/whatsnew/v1.3.1.rst

@@ -26,6 +26,7 @@ Fixed regressions
 - Regression in :func:`concat` between objects with bool dtype and integer dtype casting to object instead of to integer (:issue:`42092`)
 - Bug in :class:`Series` constructor not accepting a ``dask.Array`` (:issue:`38645`)
 - Fixed regression for ``SettingWithCopyWarning`` displaying incorrect stacklevel (:issue:`42570`)
+- Fixed regression for :func:`merge_asof` raising ``KeyError`` when one of the ``by`` columns is in the index (:issue:`34488`)
 - Fixed regression in :func:`to_datetime` returning pd.NaT for inputs that produce duplicated values, when ``cache=True`` (:issue:`42259`)
 
 

pandas/core/reshape/merge.py

@@ -1776,16 +1776,26 @@ def _validate_specification(self) -> None:
             raise MergeError("missing right_by")
 
         # GH#29130 Check that merge keys do not have dtype object
-        lo_dtype = (
-            self.left[self.left_on[0]].dtype
-            if not self.left_index
-            else self.left.index.dtype
-        )
-        ro_dtype = (
-            self.right[self.right_on[0]].dtype
-            if not self.right_index
-            else self.right.index.dtype
-        )
+        if not self.left_index:
+            left_on = self.left_on[0]
+            lo_dtype = (
+                self.left[left_on].dtype
+                if left_on in self.left.columns
+                else self.left.index.get_level_values(left_on)
+            )
+        else:
+            lo_dtype = self.left.index.dtype
+
+        if not self.right_index:
+            right_on = self.right_on[0]
+            ro_dtype = (
+                self.right[right_on].dtype
+                if right_on in self.right.columns
+                else self.right.index.get_level_values(right_on)
+            )
+        else:
+            ro_dtype = self.right.index.dtype
+
         if is_object_dtype(lo_dtype) or is_object_dtype(ro_dtype):
             raise MergeError(
                 f"Incompatible merge dtype, {repr(ro_dtype)} and "

pandas/tests/reshape/merge/test_merge_asof.py

@@ -1437,3 +1437,50 @@ def test_merge_asof_index_behavior(kwargs):
         index=index,
     )
     tm.assert_frame_equal(result, expected)
+
+
+def test_merge_asof_numeri_column_in_index():
+    # GH#34488
+    left = pd.DataFrame({"b": [10, 11, 12]}, index=Index([1, 2, 3], name="a"))
+    right = pd.DataFrame({"c": [20, 21, 22]}, index=Index([0, 2, 3], name="a"))
+
+    result = merge_asof(left, right, left_on="a", right_on="a")
+    expected = pd.DataFrame({"a": [1, 2, 3], "b": [10, 11, 12], "c": [20, 21, 22]})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_merge_asof_numeri_column_in_multiindex():
+    # GH#34488
+    left = pd.DataFrame(
+        {"b": [10, 11, 12]},
+        index=pd.MultiIndex.from_arrays([[1, 2, 3], ["a", "b", "c"]], names=["a", "z"]),
+    )
+    right = pd.DataFrame(
+        {"c": [20, 21, 22]},
+        index=pd.MultiIndex.from_arrays([[1, 2, 3], ["x", "y", "z"]], names=["a", "y"]),
+    )
+
+    result = merge_asof(left, right, left_on="a", right_on="a")
+    expected = pd.DataFrame({"a": [1, 2, 3], "b": [10, 11, 12], "c": [20, 21, 22]})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_merge_asof_numeri_column_in_index_object_dtype():
+    # GH#34488
+    left = pd.DataFrame({"b": [10, 11, 12]}, index=Index(["1", "2", "3"], name="a"))
+    right = pd.DataFrame({"c": [20, 21, 22]}, index=Index(["m", "n", "o"], name="a"))
+
+    with pytest.raises(
+        MergeError,
+        match=r"Incompatible merge dtype, .*, both sides must have numeric dtype",
+    ):
+        merge_asof(left, right, left_on="a", right_on="a")
+
+    left = left.reset_index().set_index(["a", "b"])
+    right = right.reset_index().set_index(["a", "c"])
+
+    with pytest.raises(
+        MergeError,
+        match=r"Incompatible merge dtype, .*, both sides must have numeric dtype",
+    ):
+        merge_asof(left, right, left_on="a", right_on="a")