code: def wrap_input_series_as_dataframe(*args):
      import pandas as pd
  
      return pd.concat(args, axis=1)
  
imports: import datetime
  import threading
  import time
  from collections.abc import Generator
  from functools import partial
  from typing import Any, Tuple, Dict, List
  from pyflink.common import Row
  from pyflink.fn_execution import pickle
  from pyflink.serializers import PickleSerializer
  from pyflink.table import functions
  from pyflink.table.udf import DelegationTableFunction, DelegatingScalarFunction, ImperativeAggregateFunction, PandasAggregateFunctionWrapper
label_desc: Use image node_id 3 for calling a global function with example usage: wrap_input_series_as_dataframe() and returns: pd