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
- Return type:
MeasureDescription