code: def _calc_param(cls, inp, axis: int, index) -> Dict:
      input_index_value = (
          inp.index_value if axis == 0 else inp.columns_value
      )
      pd_index = input_index_value.to_pandas()
  
      if isinstance(index, slice):
          return cls._calc_slice_param(
              input_index_value, pd_index, inp, index, axis
          )
      elif hasattr(index, "dtype") and index.ndim == 1:
          if index.dtype == np.bool_:
              # bool indexing
              return cls._calc_bool_index_param(
                  input_index_value, pd_index, inp, index, axis
              )
          else:
              # fancy indexing
              return cls._calc_fancy_index_param(
                  input_index_value, pd_index, inp, index, axis
              )
      else:
          param = dict()
          if input_index_value.has_value():
              loc = pd_index.get_loc(index)
              if isinstance(loc, (slice, np.ndarray)):
                  assert axis == 1
                  new_dtypes = inp.dtypes[loc]
                  param["shape"] = len(new_dtypes)
                  param["index_value"] = parse_index(
                      new_dtypes.index, store_data=True
                  )
                  param["dtypes"] = new_dtypes
              else:
                  # append None to indicate returning Series
                  param["shape"] = None
          else:
              param["shape"] = None
          return param
  
imports: from numbers import Integral
  from typing import Dict
  import numpy
  import pandas
  from pandas.core.dtypes.cast import find_common_type
  from pandas.core.indexing import IndexingError
  from .iloc import DataFrameIlocSetItem
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, ListField, AnyField
  from ...tensor.datasource import asarray
  from ...tensor.utils import calc_sliced_size, filter_inputs
  from ...utils import lazy_import, is_full_slice
  from ..core import IndexValue, DATAFRAME_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, is_index_value_identical
  from .index_lib import DataFrameLocIndexesHandler
label_desc: Use image node_id 9 for calling the DataFrameLocGetItem obj's underlying member method code with example usage: obj._calc_param(cls, inp, axis, index) and returns: cls, param, cls, cls