atoti.math.log10()#
- atoti.math.log10(measure, /)#
Return a measure equal to the base 10 logarithm of the passed measure.
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["log10(D)"] = tt.math.log10(m["D.SUM"]) >>> cube.query(m["D.SUM"], m["log10(D)"], levels=[l["City"]]) D.SUM log10(D) City Berlin 1.00 .00 London 3.14 .50 New York 10.00 1.00 Paris .00 -∞
- Return type:
MeasureDescription