atoti.math.erf module

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()

• scipy.special.erf

• The Wikipedia page

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