Class: Google::Apis::SheetsV4::PivotGroupRule
- Inherits:
-
Object
- Object
- Google::Apis::SheetsV4::PivotGroupRule
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/sheets_v4/classes.rb,
lib/google/apis/sheets_v4/representations.rb,
lib/google/apis/sheets_v4/representations.rb
Overview
An optional setting on a PivotGroup that defines buckets for the values in the source data column rather than breaking out each individual value. Only one PivotGroup with a group rule may be added for each column in the source data, though on any given column you may add both a PivotGroup that has a rule and a PivotGroup that does not.
Instance Attribute Summary collapse
-
#date_time_rule ⇒ Google::Apis::SheetsV4::DateTimeRule
Allows you to organize the date-time values in a source data column into buckets based on selected parts of their date or time values.
-
#histogram_rule ⇒ Google::Apis::SheetsV4::HistogramRule
Allows you to organize the numeric values in a source data column into buckets of a constant size.
-
#manual_rule ⇒ Google::Apis::SheetsV4::ManualRule
Allows you to manually organize the values in a source data column into buckets with names of your choosing.
Instance Method Summary collapse
-
#initialize(**args) ⇒ PivotGroupRule
constructor
A new instance of PivotGroupRule.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ PivotGroupRule
Returns a new instance of PivotGroupRule.
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# File 'lib/google/apis/sheets_v4/classes.rb', line 7353 def initialize(**args) update!(**args) end |
Instance Attribute Details
#date_time_rule ⇒ Google::Apis::SheetsV4::DateTimeRule
Allows you to organize the date-time values in a source data column into
buckets based on selected parts of their date or time values. For example,
consider a pivot table showing sales transactions by date: +----------+--------
------+ | Date | SUM of Sales | +----------+--------------+ | 1/1/2017 | $621.
14 | | 2/3/2017 | $708.84 | | 5/8/2017 | $326.84 | ... +----------+------------
--+ Applying a date-time group rule with a DateTimeRuleType of YEAR_MONTH
results in the following pivot table. +--------------+--------------+ |
Grouped Date | SUM of Sales | +--------------+--------------+ | 2017-Jan | $53,
731.78 | | 2017-Feb | $83,475.32 | | 2017-Mar | $94,385.05 | ... +-------------
-+--------------+
Corresponds to the JSON property dateTimeRule
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# File 'lib/google/apis/sheets_v4/classes.rb', line 7314 def date_time_rule @date_time_rule end |
#histogram_rule ⇒ Google::Apis::SheetsV4::HistogramRule
Allows you to organize the numeric values in a source data column into buckets
of a constant size. All values from HistogramRule.start to HistogramRule.end
are placed into groups of size HistogramRule.interval. In addition, all values
below HistogramRule.start are placed in one group, and all values above
HistogramRule.end are placed in another. Only HistogramRule.interval is
required, though if HistogramRule.start and HistogramRule.end are both
provided, HistogramRule.start must be less than HistogramRule.end. For example,
a pivot table showing average purchase amount by age that has 50+ rows: +-----
+-------------------+ | Age | AVERAGE of Amount | +-----+-------------------+ |
16 | $27.13 | | 17 | $5.24 | | 18 | $20.15 | ... +-----+-------------------+
could be turned into a pivot table that looks like the one below by applying a
histogram group rule with a HistogramRule.start of 25, an HistogramRule.
interval of 20, and an HistogramRule.end of 65. +-------------+----------------
---+ | Grouped Age | AVERAGE of Amount | +-------------+-------------------+ |
< 25 | $19.34 | | 25-45 | $31.43 | | 45-65 | $35.87 | | > 65 | $27.55 | +------
-------+-------------------+ | Grand Total | $29.12 | +-------------+----------
---------+
Corresponds to the JSON property histogramRule
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# File 'lib/google/apis/sheets_v4/classes.rb', line 7335 def histogram_rule @histogram_rule end |
#manual_rule ⇒ Google::Apis::SheetsV4::ManualRule
Allows you to manually organize the values in a source data column into buckets with names of your choosing. For example, a pivot table that aggregates population by state: +-------+-------------------+ | State | SUM of Population | +-------+-------------------+ | AK | 0.7 | | AL | 4.8 | | AR | 2. 9 | ... +-------+-------------------+ could be turned into a pivot table that aggregates population by time zone by providing a list of groups (for example, groupName = 'Central', items = ['AL', 'AR', 'IA', ...]) to a manual group rule. Note that a similar effect could be achieved by adding a time zone column to the source data and adjusting the pivot table. +-----------+-------------------
- | Time Zone | SUM of Population | +-----------+-------------------+ |
Central | 106.3 | | Eastern | 151.9 | | Mountain | 17.4 | ... +-----------+----
---------------+
Corresponds to the JSON property
manualRule
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# File 'lib/google/apis/sheets_v4/classes.rb', line 7351 def manual_rule @manual_rule end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/sheets_v4/classes.rb', line 7358 def update!(**args) @date_time_rule = args[:date_time_rule] if args.key?(:date_time_rule) @histogram_rule = args[:histogram_rule] if args.key?(:histogram_rule) @manual_rule = args[:manual_rule] if args.key?(:manual_rule) end |