n_greatest()

>>> pnl_table = session.read_csv(
...     TEST_RESOURCES_PATH / "csv" / "pnl.csv",
...     array_separator=";",
...     keys={"Continent", "Country"},
...     table_name="PnL",
... )
>>> cube = session.create_cube(pnl_table)
>>> l, m = cube.levels, cube.measures
>>> m["Top 3"] = tt.array.n_greatest(m["PnL.SUM"], n=3)
>>> cube.query(m["PnL.SUM"], m["Top 3"])
                          PnL.SUM                                    Top 3
0  doubleVector[10]{-20.163, ...}  doubleVector[3]{9.259999999999998, ...}