min_member()

atoti.agg.min_member(
    measure: VariableMeasureConvertible,
    /,
    level: Level,
) → MeasureDefinition

​

Parameters

​

measure

​

level

>>> df = pd.DataFrame(
...     columns=["Continent", "City", "Price"],
...     data=[
...         ("Europe", "Paris", 200.0),
...         ("Europe", "Berlin", 150.0),
...         ("Europe", "London", 240.0),
...         ("North America", "New York", 270.0),
...     ],
... )
>>> table = session.read_pandas(
...     df,
...     table_name="City price table",
... )
>>> table.head()
       Continent      City  Price
0         Europe     Paris  200.0
1         Europe    Berlin  150.0
2         Europe    London  240.0
3  North America  New York  270.0
>>> cube = session.create_cube(table, mode="manual")
>>> h, l, m = cube.hierarchies, cube.levels, cube.measures
>>> h["Geography"] = [table["Continent"], table["City"]]
>>> m["Price"] = tt.agg.single_value(table["Price"])
    >>> m["City with minimum price"] = tt.agg.min_member(m["Price"], l["City"])

At the given level, the measure is equal to the current member of the City level:

>>> cube.query(m["City with minimum price"], levels=[l["City"]])
                       City with minimum price
Continent     City
Europe        Berlin                    Berlin
              London                    London
              Paris                      Paris
North America New York                New York

At a level above it, the measure is equal to the city of each continent with the minimum price:

>>> cube.query(m["City with minimum price"], levels=[l["Continent"]])
              City with minimum price
Continent
Europe                         Berlin
North America                New York

At the top level, the measure is equal to the city with the minimum price across all continents:

>>> cube.query(m["City with minimum price"])
  City with minimum price
0                  Berlin