SNOW-1644950: make use_logical_type option more explicit

CHANGELOG.md

@@ -12,7 +12,7 @@
 
 #### Improvements
 
-- Added support for `ln` in `snowflake.snowpark.functions`
+- Improved documentation for `Session.write_pandas` by making `use_logical_type` option more explicit.
 - Added support for specifying the following to `DataFrameWriter.save_as_table`:
   - `enable_schema_evolution`
   - `data_retention_time`

src/snowflake/snowpark/session.py

@@ -2393,6 +2393,7 @@ def write_pandas(
         create_temp_table: bool = False,
         overwrite: bool = False,
         table_type: Literal["", "temp", "temporary", "transient"] = "",
+        use_logical_type: Optional[bool] = None,
         **kwargs: Dict[str, Any],
     ) -> Table:
         """Writes a pandas DataFrame to a table in Snowflake and returns a
@@ -2429,6 +2430,11 @@ def write_pandas(
             table_type: The table type of table to be created. The supported values are: ``temp``, ``temporary``,
                 and ``transient``. An empty string means to create a permanent table. Learn more about table types
                 `here <https://docs.snowflake.com/en/user-guide/tables-temp-transient.html>`_.
+            use_logical_type: Boolean that specifies whether to use Parquet logical types when reading the parquet files
+                for the unloaded pandas dataframe. With this file format option, Snowflake can interpret Parquet logical
+                types during data loading. To enable Parquet logical types, set use_logical_type as True. Set to None to
+                use Snowflakes default. For more information, see:
+                `file format options: <https://docs.snowflake.com/en/sql-reference/sql/create-file-format#type-parquet>`_.
 
         Example::
 
@@ -2506,11 +2512,11 @@ def write_pandas(
                     + (table_name)
                 )
             signature = inspect.signature(write_pandas)
-            if not ("use_logical_type" in signature.parameters):
-                # do not pass use_logical_type if write_pandas does not support it
-                use_logical_type_passed = kwargs.pop("use_logical_type", None)
-
-                if use_logical_type_passed is not None:
+            use_logical_type_supported = "use_logical_type" in signature.parameters
+            if use_logical_type_supported:
+                kwargs["use_logical_type"] = use_logical_type
+            else:
+                if use_logical_type is not None:
                     # raise warning to upgrade python connector
                     warnings.warn(
                         "use_logical_type will be ignored because current python "