>>> 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["exp(D)"] = tt.math.exp(m["D.SUM"])
>>> cube.query(m["D.SUM"], m["exp(D)"], levels=[l["City"]])
D.SUM exp(D)
City
Berlin 1.00 2.72
London 3.14 23.10
New York 10.00 22,026.47
Paris .00 1.00
