atoti.function.at module¶
- atoti.at(measure, coordinates)¶
Return a measure equal to the passed measure at some other coordinates of the cube.
- Parameters
measure (
MeasureDescription
) – The measure to take at other coordinates.coordinates (
Mapping
[Level
,Any
]) –A
{level_to_shift_on: value_to_shift_to}
mapping.>>> df = pd.DataFrame( ... columns=[ ... "Country", ... "City", ... "Target Country", ... "Target City", ... "Quantity", ... ], ... data=[ ... ("Germany", "Berlin", "UK", "London", 15), ... ("UK", "London", "Germany", "Berlin", 24), ... ("USA", "New York", "UK", "London", 10), ... ("USA", "New York", "France", "Paris", 3), ... ("USA", "Seattle", "Germany", "Berlin", 3), ... ], ... ) >>> table = session.read_pandas( ... df, table_name="At", hierarchized_columns=[] ... ) >>> cube = session.create_cube(table) >>> h, l, m = cube.hierarchies, cube.levels, cube.measures >>> h["Geography"] = [table["Country"], table["City"]] >>> h["Target Geography"] = [ ... table["Target Country"], ... table["Target City"], ... ] >>> # Using a constant matching an existing member of the key level >>> m["USA quantity"] = tt.at( ... m["Quantity.SUM"], {l["Country"]: "USA"} ... ) >>> cube.query( ... m["Quantity.SUM"], ... m["USA quantity"], ... levels=[l["Country"]], ... ) Quantity.SUM USA quantity Country Germany 15 16 UK 24 16 USA 16 16 >>> # Using another level whose current member the key level will be shifted to >>> m["Target quantity"] = tt.at( ... m["Quantity.SUM"], ... { ... l["Country"]: l["Target Country"], ... l["City"]: l["Target City"], ... }, ... ) >>> cube.query( ... m["Quantity.SUM"], ... m["Target quantity"], ... levels=[l["City"], l["Target City"]], ... ) Quantity.SUM Target quantity Country City Target Country Target City Germany Berlin UK London 15 24 UK London Germany Berlin 24 15 USA New York France Paris 3 UK London 10 24 Seattle Germany Berlin 3 15
If this other level is not expressed, the shifting will not be done.
- Return type