code: def test_converter_to_pandas_map(self):
      # _key_conv is None and _value_conv is None
      conv = _create_converter_to_pandas(
          MapType(StringType(), IntegerType())
      )
      pser = pd.Series(
          [
              [("x", 1), ("y", 2), ("z", None), (None, 3)],
              {"x": 4, "y": None, None: 5},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  {"x": 1, "y": 2, "z": None, None: 3},
                  {"x": 4, "y": None, None: 5},
                  None,
              ]
          ),
      )
  
      # _key_conv is None and _value_conv is not None
      conv = _create_converter_to_pandas(
          MapType(StringType(), StructType().add("a", IntegerType())),
          struct_in_pandas="row",
      )
      pser = pd.Series(
          [
              [
                  ("x", Row(a=1)),
                  ("y", Row(a=2)),
                  ("z", None),
                  (None, Row(a=3)),
              ],
              {"x": Row(a=4), "y": None, None: Row(a=5)},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  {
                      "x": Row(a=1),
                      "y": Row(a=2),
                      "z": None,
                      None: Row(a=3),
                  },
                  {"x": Row(a=4), "y": None, None: Row(a=5)},
                  None,
              ]
          ),
      )
  
      # _key_conv is not None and _value_conv is None
      conv = _create_converter_to_pandas(
          MapType(StructType().add("a", StringType()), IntegerType()),
          struct_in_pandas="row",
      )
      pser = pd.Series(
          [
              [
                  (Row(a="x"), 1),
                  (Row(a="y"), 2),
                  (Row(a="z"), None),
                  (None, 3),
              ],
              {Row(a="x"): 4, Row(a="y"): None, None: 5},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  {
                      Row(a="x"): 1,
                      Row(a="y"): 2,
                      Row(a="z"): None,
                      None: 3,
                  },
                  {Row(a="x"): 4, Row(a="y"): None, None: 5},
                  None,
              ]
          ),
      )
  
file_path: spark/python/pyspark/sql/tests/pandas/test_converter.py
imports: import unittest
  from typing import cast
  from pyspark.sql.types import ArrayType, IntegerType, MapType, StringType, StructType, Row
  from pyspark.testing.sqlutils import have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message
label_desc: Use image node_id 3 for calling the ConverterTests obj's underlying member method code with example usage: obj.test_converter_to_pandas_map() without return types