code: def last_index_for_melted_dataframes(
      data: Union["DataFrameCompatible", Any]
  ) -> Optional[Hashable]:
      if type_util.is_dataframe_compatible(data):
          data = type_util.convert_anything_to_df(data)
  
          if data.index.size > 0:
              return cast(Hashable, data.index[-1])
  
      return None
  
imports: from enum import Enum, EnumMeta
  from typing import TYPE_CHECKING, Any, Hashable, Iterable, List, Optional, Sequence, Tuple, Type, Union, cast, overload
  import streamlit
  from streamlit import config, runtime, type_util
  from streamlit.elements.form import is_in_form
  from streamlit.errors import StreamlitAPIException
  from streamlit.proto.LabelVisibilityMessage_pb2 import LabelVisibilityMessage
  from streamlit.runtime.state import WidgetCallback, get_session_state
  from streamlit.runtime.state.common import RegisterWidgetResult
  from streamlit.type_util import T
label_desc: Use image node_id 1 for calling a global function with example usage: last_index_for_melted_dataframes(data) and returns: None, cast