code: def __call__(self, df_or_series):
      if isinstance(df_or_series, SERIES_TYPE):
          if not np.issubdtype(df_or_series.dtype, np.number):
              raise NotImplementedError(
                  "non-numeric type is not supported for now"
              )
          test_series = pd.Series(
              [], dtype=df_or_series.dtype
          ).describe(
              percentiles=self._percentiles,
              include=self._include,
              exclude=self._exclude,
          )
          return self.new_series(
              [df_or_series],
              shape=(len(test_series),),
              dtype=test_series.dtype,
              index_value=parse_index(
                  test_series.index, store_data=True
              ),
          )
      else:
          test_inp_df = build_empty_df(df_or_series.dtypes)
          test_df = test_inp_df.describe(
              percentiles=self._percentiles,
              include=self._include,
              exclude=self._exclude,
          )
          if len(self.percentiles) == 0:
              # specify percentiles=False
              # Note: unlike pandas that False is illegal value for percentiles,
              # Mars DataFrame allows user to specify percentiles=False
              # to skip computation about percentiles
              test_df.drop(["50%"], axis=0, inplace=True)
          for dtype in test_df.dtypes:
              if not np.issubdtype(dtype, np.number):
                  raise NotImplementedError(
                      "non-numeric type is not supported for now"
                  )
          return self.new_dataframe(
              [df_or_series],
              shape=test_df.shape,
              dtypes=test_df.dtypes,
              index_value=parse_index(test_df.index, store_data=True),
              columns_value=parse_index(
                  test_df.columns, store_data=True
              ),
          )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...None import tensor
  from ...core import recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, ListField, AnyField
  from ...utils import lazy_import, has_unknown_shape
  from ..core import SERIES_TYPE
  from ..initializer import DataFrame, Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, build_empty_df
label_desc: Use image node_id 7 for calling the DataFrameDescribe obj's underlying member method code with example usage: obj.__call__(df_or_series) and returns: self, self