atoti.math.erf()#
- atoti.math.erf(measure, /)#
Return the error function of the input measure.
This can be used to compute traditional statistical measures such as the cumulative standard normal distribution.
For more information read:
Python’s built-in
math.erf()
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["erf"] = tt.math.erf(m["D.SUM"]) >>> m["erf"].formatter = "DOUBLE[#,##0.000000]" >>> cube.query(m["D.SUM"], m["erf"], levels=[l["City"]]) D.SUM erf City Berlin 1.00 0.842701 London 3.14 0.999991 New York 10.00 1.000000 Paris .00 0.000000
- Return type:
MeasureDescription