code: def max(self, *cols: str) -> "DataFrame":
      return self._numeric_agg("max", list(cols))
  
imports: from pyspark.sql.connect.utils import check_dependencies
  import warnings
  from typing import Any, Dict, List, Sequence, Union, TYPE_CHECKING, Optional, overload, cast
  from pyspark.rdd import PythonEvalType
  from pyspark.sql.group import GroupedData
  from pyspark.sql.pandas.group_ops import PandasCogroupedOps
  from pyspark.sql.types import NumericType
  from pyspark.sql.types import StructType
  import pyspark.sql.connect.plan
  from pyspark.sql.connect.column import Column
  from pyspark.sql.connect.functions.builtin import _invoke_function, col, lit
  from pyspark.errors import PySparkNotImplementedError, PySparkTypeError
label_desc: Use image node_id 8 for calling the GroupedData obj's underlying member method code with example usage: obj.max() and returns: self