code: def check_dataframes_with_incompatible_types(self):
      def func(iterator):
          for pdf in iterator:
              yield pdf.assign(id=pdf["id"].apply(str))
  
      for safely in [True, False]:
          with self.subTest(
              convertToArrowArraySafely=safely
          ), self.sql_conf(
              {
                  "spark.sql.execution.pandas.convertToArrowArraySafely": safely
              }
          ):
              # sometimes we see ValueErrors
              with self.subTest(convert="string to double"):
                  expected = (
                      r"ValueError: Exception thrown when converting pandas.Series "
                      r"\(object\) with name 'id' to Arrow Array \(double\)."
                  )
                  if safely:
                      expected = expected + (
                          " It can be caused by overflows or other "
                          "unsafe conversions warned by Arrow. Arrow safe type check "
                          "can be disabled by using SQL config "
                          "`spark.sql.execution.pandas.convertToArrowArraySafely`."
                      )
                  with self.assertRaisesRegex(
                      PythonException, expected + "\n"
                  ):
                      (
                          self.spark.range(10, numPartitions=3)
                          .mapInPandas(func, "id double")
                          .collect()
                      )
  
              # sometimes we see TypeErrors
              with self.subTest(convert="double to string"):
                  with self.assertRaisesRegex(
                      PythonException,
                      r"TypeError: Exception thrown when converting pandas.Series "
                      r"\(float64\) with name 'id' to Arrow Array \(string\).\n",
                  ):
                      (
                          self.spark.range(10, numPartitions=3)
                          .select(col("id").cast("double"))
                          .mapInPandas(
                              self.identity_dataframes_iter("id"),
                              "id string",
                          )
                          .collect()
                      )
  
imports: import os
  import shutil
  import tempfile
  import time
  import unittest
  from typing import cast
  from pyspark.sql import Row
  from pyspark.sql.functions import col, encode, lit
  from pyspark.errors import PythonException
  from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message
  from pyspark.testing.utils import QuietTest, eventually
label_desc: Use image node_id 19 for calling the MapInPandasTestsMixin obj's underlying member method code with example usage: obj.check_dataframes_with_incompatible_types() without return types