atoti.parent_value()#

atoti.parent_value(measure, /, *, degrees, apply_filters=False, total_value=None, dense=False)#

Return a measure which values are equal to the values of the given measure, at a member that is located at a higher level on each of the specified hierarchy.

This operation is also called drilling up a hierarchy.

Parameters:

measure (VariableMeasureConvertible | str) – The measure from which the values are copied.
degrees (Mapping[Hierarchy, int]) – The number of levels to go up to select the parent member along any given hierarchy.
apply_filters (bool) – Whether or not the query filters on hierarchies specified in the degrees mapping must be applied when computing the value at the parent member.
total_value (MeasureConvertible | None) – The value to return when the drill up went above the top level of all the hierarchies in the degrees mapping.
dense (bool) – When True, the parent value will be replicated on all members of the levels of the hierarchies in the degrees mapping, even those with no value for the given measure.

Return type:

MeasureDescription

Example

>>> df = pd.DataFrame(
...     columns=["Year", "Month", "Day", "Shop", "Quantity", "Other"],
...     data=[
...         (2019, 7, 1, "Shop1", 15, 245),
...         (2019, 7, 2, "Shop1", 20, 505),
...         (2019, 6, 1, "Shop2", 25, 115),
...         (2019, 6, 2, "Shop2", 15, 135),
...         (2018, 7, 1, "Shop1", 5, 55),
...         (2018, 7, 2, "Shop2", 10, 145),
...         (2018, 6, 1, "Shop1", 15, 145),
...         (2018, 6, 2, "Shop2", 5, 155),
...     ],
... )
>>> table = session.read_pandas(
...     df,
...     table_name="Parent Value",
...     default_values={"Year": 0, "Month": 0, "Day": 0},
... )
>>> cube = session.create_cube(table)
>>> h, l, m = cube.hierarchies, cube.levels, cube.measures
>>> h["Date"] = [table["Year"], table["Month"], table["Day"]]
>>> m["Degree 1"] = tt.parent_value(m["Quantity.SUM"], degrees={h["Date"]: 1})
>>> m["Degree 2"] = tt.parent_value(m["Quantity.SUM"], degrees={h["Date"]: 2})
>>> m["Degree 2 with Quantity total"] = tt.parent_value(
...     m["Quantity.SUM"],
...     degrees={h["Date"]: 2},
...     total_value=m["Quantity.SUM"],
... )
>>> m["Degree 2 with Other total"] = tt.parent_value(
...     m["Quantity.SUM"],
...     degrees={h["Date"]: 2},
...     total_value=m["Other.SUM"],
... )
>>> cube.query(
...     m["Quantity.SUM"],
...     m["Other.SUM"],
...     m["Degree 1"],
...     m["Degree 2"],
...     m["Degree 2 with Quantity total"],
...     m["Degree 2 with Other total"],
...     levels=[l["Day"]],
...     include_totals=True,
... )
                Quantity.SUM Other.SUM Degree 1 Degree 2 Degree 2 with Quantity total Degree 2 with Other total
Year  Month Day
Total                    110     1,500                                            110                     1,500
2018                      35       500      110                                   110                     1,500
      6                   20       300       35      110                          110                       110
            1             15       145       20       35                           35                        35
            2              5       155       20       35                           35                        35
      7                   15       200       35      110                          110                       110
            1              5        55       15       35                           35                        35
            2             10       145       15       35                           35                        35
2019                      75     1,000      110                                   110                     1,500
      6                   40       250       75      110                          110                       110
            1             25       115       40       75                           75                        75
            2             15       135       40       75                           75                        75
      7                   35       750       75      110                          110                       110
            1             15       245       35       75                           75                        75
            2             20       505       35       75                           75                        75
>>> h["Date"].slicing = True
>>> cube.query(
...     m["Quantity.SUM"],
...     m["Other.SUM"],
...     m["Degree 1"],
...     m["Degree 2"],
...     m["Degree 2 with Quantity total"],
...     m["Degree 2 with Other total"],
...     levels=[l["Day"]],
...     include_totals=True,
... )
               Quantity.SUM Other.SUM Degree 1 Degree 2 Degree 2 with Quantity total Degree 2 with Other total
Year Month Day
2018                     35       500                                             35                       500
     6                   20       300       35                                    35                       500
           1             15       145       20       35                           35                        35
           2              5       155       20       35                           35                        35
     7                   15       200       35                                    35                       500
           1              5        55       15       35                           35                        35
           2             10       145       15       35                           35                        35
2019                     75     1,000                                             75                     1,000
     6                   40       250       75                                    75                     1,000
           1             25       115       40       75                           75                        75
           2             15       135       40       75                           75                        75
     7                   35       750       75                                    75                     1,000
           1             15       245       35       75                           75                        75
           2             20       505       35       75                           75                        75
>>> h["Date"].slicing = False
>>> m["Degree 1 with applied filter"] = tt.parent_value(
...     m["Quantity.SUM"], degrees={h["Date"]: 1}, apply_filters=True
... )
>>> cube.query(
...     m["Quantity.SUM"],
...     m["Degree 1"],
...     m["Degree 1 with applied filter"],
...     levels=[l["Day"]],
...     include_totals=True,
...     filter=l["Year"] == "2018",
... )
                Quantity.SUM Degree 1 Degree 1 with applied filter
Year  Month Day
Total                     35
2018                      35      110                           35
      6                   20       35                           35
            1             15       20                           20
            2              5       20                           20
      7                   15       35                           35
            1              5       15                           15
            2             10       15                           15
>>> cube.query(
...     m["Quantity.SUM"],
...     m["Degree 1"],
...     m["Degree 1 with applied filter"],
...     levels=[l["Day"]],
...     include_totals=True,
...     filter=l["Shop"] == "Shop1",
... )
                Quantity.SUM Degree 1 Degree 1 with applied filter
Year  Month Day
Total                     55
2018                      20       55                           55
      6                   15       20                           20
            1             15       15                           15
      7                    5       20                           20
            1              5        5                            5
2019                      35       55                           55
      7                   35       35                           35
            1             15       35                           35
            2             20       35                           35