Fix groupby.agg bug with Timedelta (#2245)

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---------

Signed-off-by: Naren Krishna <[email protected]>

src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py

@@ -3580,8 +3580,9 @@ def convert_func_to_agg_func_info(
                 )
             elif col_agg_func in GROUPBY_AGG_WITH_NONE_SNOWPARK_PANDAS_TYPES:
                 # In the case where the aggregation overrides the type of the output data column
-                # (e.g. any always returns boolean data columns), set the output Snowpark pandas type to None
-                new_data_column_snowpark_pandas_types = None  # type: ignore
+                # (e.g. any always returns boolean data columns), set the output Snowpark pandas type
+                # of the given column to None
+                new_data_column_snowpark_pandas_types.append(None)  # type: ignore
             else:
                 self._raise_not_implemented_error_for_timedelta()
                 new_data_column_snowpark_pandas_types = None  # type: ignore

tests/integ/modin/groupby/test_groupby_basic_agg.py

@@ -1147,3 +1147,9 @@ def test_timedelta_groupby_agg():
             native_df,
             lambda df: df.groupby("B").agg({"A": ["sum", "median"], "C": "min"}),
         )
+    with SqlCounter(query_count=1):
+        eval_snowpark_pandas_result(
+            snow_df,
+            native_df,
+            lambda df: df.groupby("B").agg({"A": ["sum", "count"], "C": "median"}),
+        )