atoti.math.min()

atoti.math.min(*measures)

Return a measure equal to the minimum of the passed arguments.

Example

>>> 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["min"] = tt.math.min(m["A.SUM"], m["B.SUM"])
>>> cube.query(m["A.SUM"], m["B.SUM"], m["min"], levels=[l["City"]])
           A.SUM  B.SUM     min
City
Berlin     15.00  10.00   10.00
London     24.00  16.00   16.00
New York  -27.00  15.00  -27.00
Paris        .00    .00     .00

Parameters:

measures (MeasureConvertible)

Return type:

MeasureDescription