code: def test_filter(self):
      pdf = pd.DataFrame(
          {
              "a": [1, 2, 3, 4, 5, 6],
              "b": [1, 1, 2, 3, 5, 8],
              "c": [1, 4, 9, 16, 25, 36],
          },
          columns=["a", "b", "c"],
      )
      psdf = ps.from_pandas(pdf)
  
      self.assert_eq(
          psdf.groupby("b")
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
          pdf.groupby("b").filter(lambda x: any(x.a == 2)).sort_index(),
      )
      self.assert_eq(
          psdf.groupby("b")["a"]
          .filter(lambda x: any(x == 2))
          .sort_index(),
          pdf.groupby("b")["a"]
          .filter(lambda x: any(x == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby("b")[["a"]]
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
          pdf.groupby("b")[["a"]]
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(["a", "b"])
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
          pdf.groupby(["a", "b"])
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf["b"] // 5)
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
          pdf.groupby(pdf["b"] // 5)
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf["b"] // 5)["a"]
          .filter(lambda x: any(x == 2))
          .sort_index(),
          pdf.groupby(pdf["b"] // 5)["a"]
          .filter(lambda x: any(x == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby(psdf["b"] // 5)[["a"]]
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
          pdf.groupby(pdf["b"] // 5)[["a"]]
          .filter(lambda x: any(x.a == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.a.rename()
          .groupby(psdf.b)
          .filter(lambda x: any(x == 2))
          .sort_index(),
          pdf.a.rename()
          .groupby(pdf.b)
          .filter(lambda x: any(x == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.a.groupby(psdf.b.rename())
          .filter(lambda x: any(x == 2))
          .sort_index(),
          pdf.a.groupby(pdf.b.rename())
          .filter(lambda x: any(x == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.a.rename()
          .groupby(psdf.b.rename())
          .filter(lambda x: any(x == 2))
          .sort_index(),
          pdf.a.rename()
          .groupby(pdf.b.rename())
          .filter(lambda x: any(x == 2))
          .sort_index(),
      )
  
      with self.assertRaisesRegex(
          TypeError, "int object is not callable"
      ):
          psdf.groupby("b").filter(1)
  
      # multi-index columns
      columns = pd.MultiIndex.from_tuples(
          [("x", "a"), ("x", "b"), ("y", "c")]
      )
      pdf.columns = columns
      psdf.columns = columns
  
      self.assert_eq(
          psdf.groupby(("x", "b"))
          .filter(lambda x: any(x[("x", "a")] == 2))
          .sort_index(),
          pdf.groupby(("x", "b"))
          .filter(lambda x: any(x[("x", "a")] == 2))
          .sort_index(),
      )
      self.assert_eq(
          psdf.groupby([("x", "a"), ("x", "b")])
          .filter(lambda x: any(x[("x", "a")] == 2))
          .sort_index(),
          pdf.groupby([("x", "a"), ("x", "b")])
          .filter(lambda x: any(x[("x", "a")] == 2))
          .sort_index(),
      )
  
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 15 for calling the GroupbyApplyFuncMixin obj's underlying member method code with example usage: obj.test_filter() without return types