code: def _test_apply_in_pandas(
      self, f, output_schema="id long, mean double"
  ):
      df = self.data
  
      result = (
          df.groupby("id")
          .applyInPandas(f, schema=output_schema)
          .sort("id", "mean")
          .toPandas()
      )
      expected = (
          df.select("id")
          .distinct()
          .withColumn("mean", lit(24.5))
          .toPandas()
      )
  
      assert_frame_equal(expected, result)
  
imports: import datetime
  import unittest
  from collections import OrderedDict
  from decimal import Decimal
  from typing import cast
  from pyspark.sql import Row
  from pyspark.sql.functions import array, explode, col, lit, udf, sum, pandas_udf, PandasUDFType, window
  from pyspark.sql.types import IntegerType, DoubleType, ArrayType, BinaryType, ByteType, LongType, DecimalType, ShortType, FloatType, StringType, BooleanType, StructType, StructField, NullType, MapType, YearMonthIntervalType
  from pyspark.errors import PythonException, PySparkTypeError
  from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message
  from pyspark.testing.utils import QuietTest
label_desc: Use image node_id 42 for calling the GroupedApplyInPandasTestsMixin obj's underlying member method code with example usage: obj._test_apply_in_pandas(f, output_schema) without return types