code: def tz_convert_from_internal(s, t: DataType, local_tz):
      """
      Converts the timestamp series from internal according to the specified local timezone.
  
      Returns the same series if the series is not a timestamp series. Otherwise,
      returns a converted series.
      """
      if type(t) == LocalZonedTimestampType:
          return s.dt.tz_localize(local_tz)
      else:
          return s
  
file_path: flink/flink-python/pyflink/table/utils.py
imports: import ast
  from pyflink.common.types import RowKind
  from pyflink.java_gateway import get_gateway
  from pyflink.table.types import DataType, LocalZonedTimestampType, Row, RowType, TimeType, DateType, ArrayType, MapType, TimestampType, FloatType, RawType
  from pyflink.util.java_utils import to_jarray
  import datetime
  import pickle
label_desc: Use image node_id 3 for calling a global function with example usage: tz_convert_from_internal(s, t, local_tz) and returns: s, s