code: def test_converter_to_pandas_struct(self):
      # struct_in_pandas="row"
  
      # all the convs are None
      conv = _create_converter_to_pandas(
          StructType().add("x", StringType()).add("y", IntegerType()),
          struct_in_pandas="row",
      )
      pser = pd.Series(
          [
              Row(x="a", y=1),
              Row(x="b", y=2),
              Row(x="c", y=None),
              Row(x=None, y=3),
              {"x": "d", "y": 4},
              {"x": "e"},
              {"y": 5},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  Row(x="a", y=1),
                  Row(x="b", y=2),
                  Row(x="c", y=None),
                  Row(x=None, y=3),
                  Row(x="d", y=4),
                  Row(x="e", y=None),
                  Row(x=None, y=5),
                  None,
              ]
          ),
      )
  
      # one of the convs is not None
      conv = _create_converter_to_pandas(
          StructType()
          .add("x", StringType())
          .add("y", StructType().add("i", IntegerType())),
          struct_in_pandas="row",
      )
      pser = pd.Series(
          [
              Row(x="a", y=Row(i=1)),
              Row(x="b", y={"i": 2}),
              Row(x="c", y=None),
              Row(x=None, y=Row(i=3)),
              {"x": "d", "y": Row(i=4)},
              {"x": "e"},
              {"y": {"i": 5}},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  Row(x="a", y=Row(i=1)),
                  Row(x="b", y=Row(i=2)),
                  Row(x="c", y=None),
                  Row(x=None, y=Row(i=3)),
                  Row(x="d", y=Row(i=4)),
                  Row(x="e", y=None),
                  Row(x=None, y=Row(i=5)),
                  None,
              ]
          ),
      )
  
      # struct_in_pandas="dict"
  
      # all the convs are None
      conv = _create_converter_to_pandas(
          StructType().add("x", StringType()).add("y", IntegerType()),
          struct_in_pandas="dict",
      )
      pser = pd.Series(
          [
              Row(x="a", y=1),
              Row(x="b", y=2),
              Row(x="c", y=None),
              Row(x=None, y=3),
              {"x": "d", "y": 4},
              {"x": "e"},
              {"y": 5},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  {"x": "a", "y": 1},
                  {"x": "b", "y": 2},
                  {"x": "c", "y": None},
                  {"x": None, "y": 3},
                  {"x": "d", "y": 4},
                  {"x": "e", "y": None},
                  {"x": None, "y": 5},
                  None,
              ]
          ),
      )
  
      # one of the convs is not None
      conv = _create_converter_to_pandas(
          StructType()
          .add("x", StringType())
          .add("y", StructType().add("i", IntegerType())),
          struct_in_pandas="dict",
      )
      pser = pd.Series(
          [
              Row(x="a", y=Row(i=1)),
              Row(x="b", y={"i": 2}),
              Row(x="c", y=None),
              Row(x=None, y=Row(i=3)),
              {"x": "d", "y": Row(i=4)},
              {"x": "e"},
              {"y": {"i": 5}},
              None,
          ]
      )
      assert_series_equal(
          conv(pser),
          pd.Series(
              [
                  {"x": "a", "y": {"i": 1}},
                  {"x": "b", "y": {"i": 2}},
                  {"x": "c", "y": None},
                  {"x": None, "y": {"i": 3}},
                  {"x": "d", "y": {"i": 4}},
                  {"x": "e", "y": None},
                  {"x": None, "y": {"i": 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 5 for calling the ConverterTests obj's underlying member method code with example usage: obj.test_converter_to_pandas_struct() without return types