atoti.math.isnan()

atoti.math.isnan(measure, /)

Return a measure equal to True when the passed measure is NaN and to False otherwise.

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["Float division"] = m["A.SUM"] / m["B.SUM"]
>>> m["Float division is NaN"] = tt.math.isnan(m["Float division"])
>>> m["String is NaN"] = tt.math.isnan(tt.agg.single_value(table["City"]))
>>> cube.query(
...     m["Float division"],
...     m["Float division is NaN"],
...     m["String is NaN"],
...     levels=[l["City"]],
... )
         Float division Float division is NaN String is NaN
City
Berlin             1.50                 False         False
London             1.50                 False         False
New York          -1.80                 False         False
Paris               NaN                  True         False

Parameters:

measure (VariableMeasureConvertible)

Return type:

MeasureDescription