code: def _call_dataframe(self, df):
      if self.ignore_index:
          index_value = parse_index(pd.RangeIndex(df.shape[0]))
      else:
          index_value = df.index_value
      if self.axis == 0:
          return self.new_dataframe(
              [df],
              shape=df.shape,
              dtypes=df.dtypes,
              index_value=index_value,
              columns_value=df.columns_value,
          )
      else:
          dtypes = df.dtypes.sort_index(ascending=self.ascending)
          columns_value = parse_index(dtypes.index, store_data=True)
          return self.new_dataframe(
              [df],
              shape=df.shape,
              dtypes=dtypes,
              index_value=index_value,
              columns_value=columns_value,
          )
  
file_path: mars/mars/dataframe/sort/sort_index.py
imports: import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...serialization.serializables import ListField, BoolField
  from ...tensor.base.sort import _validate_sort_psrs_kinds
  from ...utils import calc_nsplits
  from ..utils import parse_index, validate_axis, build_concatenated_rows_frame, standardize_range_index
  from ..operands import DATAFRAME_TYPE
  from .core import DataFrameSortOperand
  from .psrs import DataFramePSRSOperandMixin, execute_sort_index
label_desc: Use image node_id 3 for calling the DataFrameSortIndex obj's underlying member method code with example usage: obj._call_dataframe(df) and returns: self, self