fix errors

Author: sfc-gh-helmeleegy

src/snowflake/snowpark/modin/plugin/docstrings/series_utils.py

@@ -2642,7 +2642,7 @@ def seconds():
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int8
 
         For TimedeltaIndex:
 
@@ -2702,7 +2702,7 @@ def microseconds():
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int8
 
         For TimedeltaIndex:
 
@@ -2734,7 +2734,7 @@ def nanoseconds():
         0    1
         1    2
         2    3
-        dtype: int64
+        dtype: int8
 
         For TimedeltaIndex:
 

tests/integ/modin/test_faster_pandas.py

@@ -123,9 +123,9 @@ def test_read_filter_join_on_index(session):
     )
 
 
-@sql_count_checker(query_count=3)
-def test_read_filter_groupby_agg(session):
-    # test a chain of operations that are not fully supported in faster pandas
+@sql_count_checker(query_count=3, join_count=2)
+def test_read_filter_iloc_index(session):
+    # test a chain of operations that are not yet fully supported in faster pandas
 
     # create tables
     table_name = Utils.random_name_for_temp_object(TempObjectType.TABLE)
@@ -135,19 +135,19 @@ def test_read_filter_groupby_agg(session):
 
     # create snow dataframes
     df = pd.read_snowflake(table_name)
-    snow_result = df[df["B"] > 11].groupby("A").min()
+    snow_result = df.iloc[[0], :]
 
     # verify that the input dataframe has a populated relaxed query compiler
     assert df._query_compiler._relaxed_query_compiler is not None
     assert df._query_compiler._relaxed_query_compiler._dummy_row_pos_mode is True
     # verify that the output dataframe has an empty relaxed query compiler
-    # because groupby() and min() are not supported in faster pandas yet
+    # because iloc for index is not supported in faster pandas yet
     assert snow_result._query_compiler._relaxed_query_compiler is None
     assert snow_result._query_compiler._dummy_row_pos_mode is False
 
     # create pandas dataframes
     native_df = df.to_pandas()
-    native_result = native_df[native_df["B"] > 11].groupby("A").min()
+    native_result = native_df.iloc[[0], :]
 
     # compare results
     assert_frame_equal(snow_result, native_result)