code: def df_set_axis(df, labels, axis=0, inplace=False):
      """
      Assign desired index to given axis.
  
      Indexes for column or row labels can be changed by assigning
      a list-like or Index.
  
      Parameters
      ----------
      labels : list-like, Index
          The values for the new index.
  
      axis : {0 or 'index', 1 or 'columns'}, default 0
          The axis to update. The value 0 identifies the rows, and 1 identifies the columns.
  
      inplace : bool, default False
          Whether to return a new DataFrame instance.
  
      Returns
      -------
      renamed : DataFrame or None
          An object of type DataFrame or None if ``inplace=True``.
  
      See Also
      --------
      DataFrame.rename_axis : Alter the name of the index or columns.
  
      Examples
      --------
      >>> import mars.dataframe as md
      >>> df = md.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
  
      Change the row labels.
  
      >>> df.set_axis(['a', 'b', 'c'], axis='index').execute()
         A  B
      a  1  4
      b  2  5
      c  3  6
  
      Change the column labels.
  
      >>> df.set_axis(['I', 'II'], axis='columns').execute()
         I  II
      0  1   4
      1  2   5
      2  3   6
  
      Now, update the labels inplace.
  
      >>> df.set_axis(['i', 'ii'], axis='columns', inplace=True)
      >>> df.execute()
         i  ii
      0  1   4
      1  2   5
      2  3   6
      """
      return _set_axis(df, labels, axis=axis, inplace=inplace)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, get_output_types, recursive_tile
  from ...serialization.serializables import AnyField, Int8Field, KeyField
  from ...utils import has_unknown_shape
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import parse_index, validate_axis
label_desc: Use image node_id 2 for calling a global function with example usage: df_set_axis(df, labels, axis, inplace) and returns: _set_axis