code: def test_groupby_rolling_count(self):
      pser = pd.Series([1, 2, 3, 2], index=np.random.rand(4), name="a")
      psser = ps.from_pandas(pser)
      # TODO(SPARK-43432): Fix `min_periods` for Rolling.count() to work same as pandas
      self.assert_eq(
          psser.groupby(psser).rolling(2).count().sort_index(),
          pser.groupby(pser)
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
      self.assert_eq(
          psser.groupby(psser).rolling(2).count().sum(),
          pser.groupby(pser).rolling(2, min_periods=1).count().sum(),
      )
  
      # Multiindex
      pser = pd.Series(
          [1, 2, 3, 2],
          index=pd.MultiIndex.from_tuples(
              [("a", "x"), ("a", "y"), ("b", "z"), ("c", "z")]
          ),
          name="a",
      )
      psser = ps.from_pandas(pser)
      self.assert_eq(
          psser.groupby(psser).rolling(2).count().sort_index(),
          pser.groupby(pser)
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
  
      pdf = pd.DataFrame(
          {"a": [1.0, 2.0, 3.0, 2.0], "b": [4.0, 2.0, 3.0, 1.0]}
      )
      psdf = ps.from_pandas(pdf)
  
      self.assert_eq(
          psdf.groupby(psdf.a).rolling(2).count().sort_index(),
          pdf.groupby(pdf.a)
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf.a).rolling(2).count().sum(),
          pdf.groupby(pdf.a).rolling(2, min_periods=1).count().sum(),
      )
      self.assert_eq(
          psdf.groupby(psdf.a + 1).rolling(2).count().sort_index(),
          pdf.groupby(pdf.a + 1)
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
  
      self.assert_eq(
          psdf.b.groupby(psdf.a).rolling(2).count().sort_index(),
          pdf.b.groupby(pdf.a)
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf.a)["b"].rolling(2).count().sort_index(),
          pdf.groupby(pdf.a)["b"]
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf.a)[["b"]].rolling(2).count().sort_index(),
          pdf.groupby(pdf.a)[["b"]]
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
  
      # Multiindex column
      columns = pd.MultiIndex.from_tuples([("a", "x"), ("a", "y")])
      pdf.columns = columns
      psdf.columns = columns
  
      self.assert_eq(
          psdf.groupby(("a", "x")).rolling(2).count().sort_index(),
          pdf.groupby(("a", "x"))
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
  
      self.assert_eq(
          psdf.groupby([("a", "x"), ("a", "y")])
          .rolling(2)
          .count()
          .sort_index(),
          pdf.groupby([("a", "x"), ("a", "y")])
          .rolling(2, min_periods=1)
          .count()
          .sort_index(),
      )
  
file_path: spark/python/pyspark/pandas/tests/window/test_groupby_rolling_count.py
imports: import numpy
  import pandas
  import pyspark.pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
label_desc: Use image node_id 1 for calling the GroupByRollingCountMixin obj's underlying member method code with example usage: obj.test_groupby_rolling_count() without return types