atoti.array.n_lowest_indices module#
- atoti.array.n_lowest_indices(measure, n)#
Return an array measure containing the indices of the n lowest elements of the passed array measure.
Example
>>> pnl_table = session.read_csv( ... f"{RESOURCES}/pnl.csv", ... array_separator=";", ... keys=["Continent", "Country"], ... table_name="PnL", ... ) >>> cube = session.create_cube(pnl_table) >>> l, m = cube.levels, cube.measures >>> m["Bottom 3 indices"] = tt.array.n_lowest_indices(m["PnL.SUM"], n=3) >>> cube.query(m["PnL.SUM"], m["Bottom 3 indices"]) PnL.SUM Bottom 3 indices 0 doubleVector[10]{-20.163, ...} intVector[3]{2, ...}
- Return type