awswrangler/s3/_write_text.py [415:478]:
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            "The minimum acceptable version to achive it is Pandas 1.2.0 that requires Python >=3.7.1."
        )
    _validate_args(
        df=df,
        table=table,
        database=database,
        dataset=dataset,
        path=path,
        partition_cols=partition_cols,
        bucketing_info=bucketing_info,
        mode=mode,
        description=description,
        parameters=parameters,
        columns_comments=columns_comments,
    )

    # Initializing defaults
    partition_cols = partition_cols if partition_cols else []
    dtype = dtype if dtype else {}
    partitions_values: Dict[str, List[str]] = {}
    mode = "append" if mode is None else mode
    commit_trans: bool = False
    if transaction_id:
        table_type = "GOVERNED"
    filename_prefix = filename_prefix + uuid.uuid4().hex if filename_prefix else uuid.uuid4().hex
    session: boto3.Session = _utils.ensure_session(session=boto3_session)

    # Sanitize table to respect Athena's standards
    if (sanitize_columns is True) or (database is not None and table is not None):
        df, dtype, partition_cols = _sanitize(df=df, dtype=dtype, partition_cols=partition_cols)

    # Evaluating dtype
    catalog_table_input: Optional[Dict[str, Any]] = None
    if database and table:
        catalog_table_input = catalog._get_table_input(  # pylint: disable=protected-access
            database=database, table=table, boto3_session=session, transaction_id=transaction_id, catalog_id=catalog_id
        )

        catalog_path: Optional[str] = None
        if catalog_table_input:
            table_type = catalog_table_input["TableType"]
            catalog_path = catalog_table_input.get("StorageDescriptor", {}).get("Location")
        if path is None:
            if catalog_path:
                path = catalog_path
            else:
                raise exceptions.InvalidArgumentValue(
                    "Glue table does not exist in the catalog. Please pass the `path` argument to create it."
                )
        elif path and catalog_path:
            if path.rstrip("/") != catalog_path.rstrip("/"):
                raise exceptions.InvalidArgumentValue(
                    f"The specified path: {path}, does not match the existing Glue catalog table path: {catalog_path}"
                )
        if pandas_kwargs.get("compression") not in ("gzip", "bz2", None):
            raise exceptions.InvalidArgumentCombination(
                "If database and table are given, you must use one of these compressions: gzip, bz2 or None."
            )
        if (table_type == "GOVERNED") and (not transaction_id):
            _logger.debug("`transaction_id` not specified for GOVERNED table, starting transaction")
            transaction_id = lakeformation.start_transaction(read_only=False, boto3_session=boto3_session)
            commit_trans = True

    df = _apply_dtype(df=df, dtype=dtype, catalog_table_input=catalog_table_input, mode=mode)
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awswrangler/s3/_write_text.py [867:931]:
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            "The minimum acceptable version to achive it is Pandas 1.2.0 that requires Python >=3.7.1."
        )

    _validate_args(
        df=df,
        table=table,
        database=database,
        dataset=dataset,
        path=path,
        partition_cols=partition_cols,
        bucketing_info=bucketing_info,
        mode=mode,
        description=description,
        parameters=parameters,
        columns_comments=columns_comments,
    )

    # Initializing defaults
    partition_cols = partition_cols if partition_cols else []
    dtype = dtype if dtype else {}
    partitions_values: Dict[str, List[str]] = {}
    mode = "append" if mode is None else mode
    commit_trans: bool = False
    if transaction_id:
        table_type = "GOVERNED"
    filename_prefix = filename_prefix + uuid.uuid4().hex if filename_prefix else uuid.uuid4().hex
    session: boto3.Session = _utils.ensure_session(session=boto3_session)

    # Sanitize table to respect Athena's standards
    if (sanitize_columns is True) or (database is not None and table is not None):
        df, dtype, partition_cols = _sanitize(df=df, dtype=dtype, partition_cols=partition_cols)

    # Evaluating dtype
    catalog_table_input: Optional[Dict[str, Any]] = None

    if database and table:
        catalog_table_input = catalog._get_table_input(  # pylint: disable=protected-access
            database=database, table=table, boto3_session=session, transaction_id=transaction_id, catalog_id=catalog_id
        )
        catalog_path: Optional[str] = None
        if catalog_table_input:
            table_type = catalog_table_input["TableType"]
            catalog_path = catalog_table_input.get("StorageDescriptor", {}).get("Location")
        if path is None:
            if catalog_path:
                path = catalog_path
            else:
                raise exceptions.InvalidArgumentValue(
                    "Glue table does not exist in the catalog. Please pass the `path` argument to create it."
                )
        elif path and catalog_path:
            if path.rstrip("/") != catalog_path.rstrip("/"):
                raise exceptions.InvalidArgumentValue(
                    f"The specified path: {path}, does not match the existing Glue catalog table path: {catalog_path}"
                )
        if pandas_kwargs.get("compression") not in ("gzip", "bz2", None):
            raise exceptions.InvalidArgumentCombination(
                "If database and table are given, you must use one of these compressions: gzip, bz2 or None."
            )
        if (table_type == "GOVERNED") and (not transaction_id):
            _logger.debug("`transaction_id` not specified for GOVERNED table, starting transaction")
            transaction_id = lakeformation.start_transaction(read_only=False, boto3_session=boto3_session)
            commit_trans = True

    df = _apply_dtype(df=df, dtype=dtype, catalog_table_input=catalog_table_input, mode=mode)
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