code: def calculate(self, **kwargs) -> pd.Series:
      if self.is_unary:
          return self.calculate_unary(kwargs["data"])
      elif self.is_binary or self.is_grouping:
          return self.calculate_binary(kwargs["left"], kwargs["right"])
      else:
          return self.calculate_vector(kwargs["data"])
  
imports: from pydantic import BaseModel
  from typing import Dict, List, Optional, Tuple, Union
  import abc
  import pandas
  import numpy
label_desc: Use image node_id 1 for calling the PandasOperand obj's underlying member method code with example usage: obj.calculate() and returns: self, self, self