SNOW-3077601: Filter on empty dataframe results in schemaless dataframe

Please answer these questions before submitting your issue. Thanks!

1. What version of Python are you using?

   Python 3.11.13

2. What are the Snowpark Python and pandas versions in the environment?

   pandas==2.1.4
   pandas-gbq==0.31.0
   snowflake-snowpark-python==1.42.0
   

3. What did you do?

   When I created an empty dataframe with 2 columns. I tried to filter based on one of the column, but instead of returning a duplication of that empty dataframe, it returns a dataframe with no columns at all.

   empty_schema = StructType([
            StructField("entry", StringType(), True),
            StructField("file_path", StringType(), True),
        ])
   mock_encounters_df = session.create_dataframe([], schema=empty_schema)
   
   mock_encounters_df.show()
   print("--------------- filter -----------------")
   mock_encounters_df.filter(col("entry").is_null()).show()
   
   # -------------------------
   # |"ENTRY"  |"FILE_PATH"  |
   # -------------------------
   # |         |             |
   # -------------------------
   # --------------- filter -----------------
   # -
   # ||
   # -
   # ||
   # -
   

4. What did you expect to see?

   The expectation is to see the same dataframe I used before the filter so the output will be:

   -------------------------
   |"ENTRY"  |"FILE_PATH"  |
   -------------------------
   |         |             |
   -------------------------
   --------------- filter -----------------
   -------------------------
   |"ENTRY"  |"FILE_PATH"  |
   -------------------------
   |         |             |
   -------------------------