code: def applyInPandas(
      self,
      func: "PandasCogroupedMapFunction",
      schema: Union["StructType", str],
  ) -> "DataFrame":
      from pyspark.sql.connect.udf import UserDefinedFunction
      from pyspark.sql.connect.dataframe import DataFrame
  
      udf_obj = UserDefinedFunction(
          func,
          returnType=schema,
          evalType=PythonEvalType.SQL_COGROUPED_MAP_PANDAS_UDF,
      )
  
      return DataFrame(
          plan.CoGroupMap(
              input=self._gd1._df._plan,
              input_grouping_cols=self._gd1._grouping_cols,
              other=self._gd2._df._plan,
              other_grouping_cols=self._gd2._grouping_cols,
              function=udf_obj,
          ),
          session=self._gd1._df._session,
      )
  
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 2 for calling the PandasCogroupedOps obj's underlying member method code with example usage: obj.applyInPandas(func, schema) and returns: DataFrame