class_docstr: !
  @brief Analyse input data to extract general information about data dimension.
class_docstr_tok: ["!","@","brief","Analyse","input","data","to","extract","general","information","about","data","dimension","."]
code: def __calculate_maxmin_dimension_coordinate(self):
      self.__maximum_dimension = [
          self.__data[0][i] for i in range(self.get_dimensions())
      ]
      self.__minimum_dimension = [
          self.__data[0][i] for i in range(self.get_dimensions())
      ]
  
      for i in range(len(self.__data)):
          for dim in range(self.get_dimensions()):
              if self.__maximum_dimension[dim] < self.__data[i][dim]:
                  self.__maximum_dimension[dim] = self.__data[i][dim]
              elif self.__minimum_dimension[dim] > self.__data[i][dim]:
                  self.__minimum_dimension[dim] = self.__data[i][dim]
  
file_path: pyclustering/pyclustering/utils/dimension.py
label_desc: Use image node_id 8 for calling the dimension_info obj's underlying member method code with example usage: obj.__calculate_maxmin_dimension_coordinate() without return types