>>> df = pd.DataFrame(
... columns=["City", "A", "B", "C", "D"],
... data=[
... ("Berlin", 15.0, 10.0, 10.1, 1.0),
... ("London", 24.0, 16.0, 20.5, 3.14),
... ("New York", -27.0, 15.0, 30.7, 10.0),
... ("Paris", 0.0, 0.0, 0.0, 0.0),
... ],
... )
>>> table = session.read_pandas(df, keys={"City"}, table_name="Math")
>>> cube = session.create_cube(table)
>>> l, m = cube.levels, cube.measures
>>> m["√B"] = tt.math.sqrt(m["B.SUM"])
>>> cube.query(m["B.SUM"], m["√B"], levels=[l["City"]])
B.SUM √B
City
Berlin 10.00 3.16
London 16.00 4.00
New York 15.00 3.87
Paris .00 .00
