code: def __call__(self, df_or_series):
      new_size = self.value.shape[0]
      expect_size = df_or_series.axes[self.axis].shape[0]
      if (
          not np.isnan(new_size)
          and not np.isnan(expect_size)
          and new_size != expect_size
      ):
          raise ValueError(
              f"Length mismatch: Expected axis has {expect_size} elements, "
              f"new values have {new_size} elements"
          )
  
      params = df_or_series.params
      if self.axis == 0:
          params["index_value"] = (
              parse_index(self.value)
              if isinstance(self.value, pd.Index)
              else self.value.index_value
          )
      else:
          params["columns_value"] = (
              parse_index(self.value, store_data=True)
              if isinstance(self.value, pd.Index)
              else self.value.index_value
          )
          pd_columns = (
              self.value.index_value.to_pandas()
              if isinstance(self.value, ENTITY_TYPE)
              else self.value
          )
          params["dtypes"] = params["dtypes"].set_axis(pd_columns)
  
      self._output_types = get_output_types(df_or_series)
      inputs = [df_or_series]
      if isinstance(self.value, ENTITY_TYPE):
          inputs += [self.value]
      return self.new_tileable(inputs, **params)
  
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 6 for calling the DataFrameSetAxis obj's underlying member method code with example usage: obj.__call__(df_or_series) and returns: self