SNOW-1797580: Integer columns contain Na after filtering when using to pandas in local testing

1. What version of Python are you using?

   Python 3.11.8

2. What operating system and processor architecture are you using?

   Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.35

3. What are the component versions in the environment (pip freeze)?

   snowflake-connector-python==3.12.3
   snowflake-snowpark-python==1.24.0

4. What did you do?

if __name__ == "__main__":
    from snowflake.snowpark import Session
    import snowflake.snowpark.functions as spf
    conn_params = {
        "schema": "SCHEMA",
        "local_testing": True,
    }

    session = Session.builder.configs(conn_params).create()
    data = [
        [1, False],
        [1, False],
        [1, False],
        [2, True],
    ]
    schema = ["INT_COL", "BOOL_COL"]
    df = session.create_dataframe(data, schema)
    df = df.with_column("INT_COL", spf.cast("INT_COL", "int"))
    filtered = df.filter(
            spf.col("BOOL_COL")
        )
    pd_df = filtered.to_pandas()
    collected = filtered.collect()

6. What did you expect to see?

   That the pd_df has the same data as collected. But the int column is NaN for the pandas df. I already found the issue and will open a PR asap