fix?

pandas/io/parsers/arrow_parser_wrapper.py

@@ -61,6 +61,21 @@ def _get_pyarrow_options(self) -> None:
             if pandas_name in self.kwds and self.kwds.get(pandas_name) is not None:
                 self.kwds[pyarrow_name] = self.kwds.pop(pandas_name)
 
+        # Date format handling
+        # If we get a string, we need to convert it into a list for pyarrow
+        # If we get a dict, we want to parse those separately
+        date_format = self.date_format
+        if isinstance(date_format, str):
+            date_format = [date_format]
+        else:
+            # In case of dict, we don't want to propagate through, so
+            # just set to pyarrow default of None
+
+            # Ideally, in future we disable pyarrow dtype inference (read in as string)
+            # to prevent misreads.
+            date_format = None
+        self.kwds["timestamp_parsers"] = date_format
+
         self.parse_options = {
             option_name: option_value
             for option_name, option_value in self.kwds.items()
@@ -79,6 +94,7 @@ def _get_pyarrow_options(self) -> None:
                 "true_values",
                 "false_values",
                 "decimal_point",
+                "timestamp_parsers",
             )
         }
         self.convert_options["strings_can_be_null"] = "" in self.kwds["null_values"]

pandas/io/parsers/base_parser.py

@@ -62,8 +62,10 @@
 
 from pandas import (
     ArrowDtype,
+    DataFrame,
     DatetimeIndex,
     StringDtype,
+    concat,
 )
 from pandas.core import algorithms
 from pandas.core.arrays import (
@@ -93,8 +95,6 @@
         Scalar,
     )
 
-    from pandas import DataFrame
-
 
 class ParserBase:
     class BadLineHandleMethod(Enum):

pandas/tests/io/parser/test_parse_dates.py

@@ -544,7 +544,6 @@ def test_multiple_date_cols_int_cast(all_parsers):
     tm.assert_frame_equal(result, expected)
 
 
-@xfail_pyarrow
 def test_multiple_date_col_timestamp_parse(all_parsers):
     parser = all_parsers
     data = """05/31/2012,15:30:00.029,1306.25,1,E,0,,1306.25