code: def test_explode(self):
      pdf = pd.DataFrame(
          {
              "A": [[-1.0, np.nan], [0.0, np.inf], [1.0, -np.inf]],
              "B": 1,
          },
          index=["a", "b", "c"],
      )
      pdf.index.name = "index"
      pdf.columns.name = "columns"
      psdf = ps.from_pandas(pdf)
  
      expected_result1, result1 = pdf.explode("A"), psdf.explode("A")
      expected_result2, result2 = pdf.explode("B"), psdf.explode("B")
      expected_result3, result3 = pdf.explode(
          "A", ignore_index=True
      ), psdf.explode("A", ignore_index=True)
  
      self.assert_eq(result1, expected_result1, almost=True)
      self.assert_eq(result2, expected_result2)
      self.assert_eq(result1.index.name, expected_result1.index.name)
      self.assert_eq(
          result1.columns.name, expected_result1.columns.name
      )
      self.assert_eq(result3, expected_result3, almost=True)
      self.assert_eq(result3.index, expected_result3.index)
  
      self.assertRaises(TypeError, lambda: psdf.explode(["A", "B"]))
  
      # MultiIndex
      midx = pd.MultiIndex.from_tuples(
          [("x", "a"), ("x", "b"), ("y", "c")],
          names=["index1", "index2"],
      )
      pdf.index = midx
      psdf = ps.from_pandas(pdf)
  
      expected_result1, result1 = pdf.explode("A"), psdf.explode("A")
      expected_result2, result2 = pdf.explode("B"), psdf.explode("B")
      expected_result3, result3 = pdf.explode(
          "A", ignore_index=True
      ), psdf.explode("A", ignore_index=True)
  
      self.assert_eq(result1, expected_result1, almost=True)
      self.assert_eq(result2, expected_result2)
      self.assert_eq(result1.index.names, expected_result1.index.names)
      self.assert_eq(
          result1.columns.name, expected_result1.columns.name
      )
      self.assert_eq(result3, expected_result3, almost=True)
      self.assert_eq(result3.index, expected_result3.index)
  
      self.assertRaises(TypeError, lambda: psdf.explode(["A", "B"]))
  
      # MultiIndex columns
      columns = pd.MultiIndex.from_tuples(
          [("A", "Z"), ("B", "X")], names=["column1", "column2"]
      )
      pdf.columns = columns
      psdf.columns = columns
  
      expected_result1, result1 = pdf.explode(("A", "Z")), psdf.explode(
          ("A", "Z")
      )
      expected_result2, result2 = pdf.explode(("B", "X")), psdf.explode(
          ("B", "X")
      )
      expected_result3, result3 = pdf.A.explode("Z"), psdf.A.explode(
          "Z"
      )
  
      self.assert_eq(result1, expected_result1, almost=True)
      self.assert_eq(result2, expected_result2)
      self.assert_eq(result1.index.names, expected_result1.index.names)
      self.assert_eq(
          result1.columns.names, expected_result1.columns.names
      )
      self.assert_eq(result3, expected_result3, almost=True)
  
      self.assertRaises(TypeError, lambda: psdf.explode(["A", "B"]))
      self.assertRaises(ValueError, lambda: psdf.explode("A"))
  
imports: import unittest
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.pandas.config import option_context
  from pyspark.testing.pandasutils import ComparisonTestBase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 9 for calling the FrameReshapingMixin obj's underlying member method code with example usage: obj.test_explode() without return types