code: def check_apply_in_pandas_returning_no_column_names_and_wrong_amount(
      self,
  ):
      def merge_pandas(lft, rgt):
          if 0 in lft["id"] and lft["id"][0] % 2 == 0:
              lft[3] = 0
          if 0 in rgt["id"] and rgt["id"][0] % 3 == 0:
              rgt[3] = 1
          res = pd.merge(lft, rgt, on=["id", "k"])
          res.columns = range(res.columns.size)
          return res
  
      self._test_merge_error(
          fn=merge_pandas,
          error_class=PythonException,
          error_message_regex="Number of columns of the returned pandas.DataFrame "
          "doesn't match specified schema. Expected: 4 Actual: 6\n",
      )
  
imports: import unittest
  from typing import cast
  from pyspark.sql.functions import array, explode, col, lit, udf, pandas_udf, sum
  from pyspark.sql.types import ArrayType, DoubleType, LongType, StructType, StructField, YearMonthIntervalType, Row
  from pyspark.sql.window import Window
  from pyspark.errors import IllegalArgumentException, PythonException
  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 20 for calling the CogroupedApplyInPandasTestsMixin obj's underlying member method code with example usage: obj.check_apply_in_pandas_returning_no_column_names_and_wrong_amount() and returns: res