SNOW-1664064: Suppress SettingWithCopyWarning for Timedelta columns.

CHANGELOG.md

@@ -17,6 +17,7 @@
 #### Bug Fixes
 
 - Fixed a bug where an `Index` object created from a `Series`/`DataFrame` incorrectly updates the `Series`/`DataFrame`'s index name after an inplace update has been applied to the original `Series`/`DataFrame`.
+- Suppressed an unhelpful `SettingWithCopyWarning` that sometimes appeared when printing `Timedelta` columns.
 
 
 ## 1.22.1 (2024-09-11)

src/snowflake/snowpark/modin/plugin/_internal/utils.py

@@ -1519,9 +1519,15 @@ def convert_str_to_timedelta(x: str) -> pd.Timedelta:
             downcast_pandas_df.columns, cached_snowpark_pandas_types
         ):
             if snowpark_pandas_type is not None and snowpark_pandas_type == timedelta_t:
-                downcast_pandas_df[pandas_label] = pandas_df[pandas_label].apply(
-                    convert_str_to_timedelta
-                )
+                # By default, pandas warns, "A value is trying to be set on a
+                # copy of a slice from a DataFrame" here because we are
+                # assigning a column to downcast_pandas_df, which is a copy of
+                # a slice of pandas_df. We don't care what happens to pandas_df,
+                # so the warning isn't useful to us.
+                with native_pd.option_context("mode.chained_assignment", None):
+                    downcast_pandas_df[pandas_label] = pandas_df[pandas_label].apply(
+                        convert_str_to_timedelta
+                    )
 
     # Step 7. postprocessing for return types
     if index_only:

tests/integ/modin/types/test_timedelta.py

@@ -2,10 +2,12 @@
 # Copyright (c) 2012-2024 Snowflake Computing Inc. All rights reserved.
 #
 import datetime
+import warnings
 
 import modin.pandas as pd
 import pandas as native_pd
 import pytest
+from pandas.errors import SettingWithCopyWarning
 
 from tests.integ.modin.sql_counter import sql_count_checker
 from tests.integ.modin.utils import (
@@ -107,3 +109,10 @@ def test_timedelta_not_supported():
         match="SnowflakeQueryCompiler::groupby_groups is not yet implemented for Timedelta Type",
     ):
         df.groupby("a").groups()
+
+
+@sql_count_checker(query_count=1)
+def test_aggregation_does_not_print_internal_warning_SNOW_1664064():
+    with warnings.catch_warnings():
+        warnings.simplefilter(category=SettingWithCopyWarning, action="error")
+        pd.Series(pd.Timedelta(1)).max()