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Autogenerated update (2018-01-30)

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Update:
- appengine_v1
- appengine_v1beta
- bigquerydatatransfer_v1
- cloudbuild_v1
- drive_v2
- sheets_v4
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Google APIs committed 2018-01-30 00:35:59 +00:00
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generated/google/apis/sheets_v4/classes.rb
+282
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@@ -4789,6 +4789,70 @@ module Google
end
end
# 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 will be placed into groups of size
# HistogramRule.interval. In addition, all values below
# HistogramRule.start will be placed in one group, and all values above
# HistogramRule.end will be 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 |
# +-------------+-------------------+
class HistogramRule
include Google::Apis::Core::Hashable
# Optional. The maximum value at which items will be placed into buckets
# of constant size. Values above end will be lumped into a single bucket.
# Corresponds to the JSON property `end`
# @return [Float]
attr_accessor :end
# Required. The size of the buckets that will be created. Must be positive.
# Corresponds to the JSON property `interval`
# @return [Float]
attr_accessor :interval
# Optional. The minimum value at which items will be placed into buckets
# of constant size. Values below start will be lumped into a single bucket.
# Corresponds to the JSON property `start`
# @return [Float]
attr_accessor :start
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end = args[:end] if args.key?(:end)
@interval = args[:interval] if args.key?(:interval)
@start = args[:start] if args.key?(:start)
end
end
# A histogram series containing the series color and data.
class HistogramSeries
include Google::Apis::Core::Hashable
@@ -5186,6 +5250,78 @@ module Google
end
end
# 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 (e.g. 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 |
# ...
# +-----------+-------------------+
class ManualRule
include Google::Apis::Core::Hashable
# The list of group names and the corresponding items from the source data
# that map to each group name.
# Corresponds to the JSON property `groups`
# @return [Array<Google::Apis::SheetsV4::ManualRuleGroup>]
attr_accessor :groups
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@groups = args[:groups] if args.key?(:groups)
end
end
# A group name and a list of items from the source data that should be placed
# in the group with this name.
class ManualRuleGroup
include Google::Apis::Core::Hashable
# The kinds of value that a cell in a spreadsheet can have.
# Corresponds to the JSON property `groupName`
# @return [Google::Apis::SheetsV4::ExtendedValue]
attr_accessor :group_name
# The items in the source data that should be placed into this group. Each
# item may be a string, number, or boolean. Items may appear in at most one
# group within a given ManualRule. Items that do not appear in any
# group will appear on their own.
# Corresponds to the JSON property `items`
# @return [Array<Google::Apis::SheetsV4::ExtendedValue>]
attr_accessor :items
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@group_name = args[:group_name] if args.key?(:group_name)
@items = args[:items] if args.key?(:items)
end
end
# A developer metadata entry and the data filters specified in the original
# request that matched it.
class MatchedDeveloperMetadata
@@ -5861,6 +5997,55 @@ module Google
class PivotGroup
include Google::Apis::Core::Hashable
# 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.
# Corresponds to the JSON property `groupRule`
# @return [Google::Apis::SheetsV4::PivotGroupRule]
attr_accessor :group_rule
# The labels to use for the row/column groups which can be customized. For
# example, in the following pivot table, the row label is `Region` (which
# could be renamed to `State`) and the column label is `Product` (which
# could be renamed `Item`). Pivot tables created before December 2017 do
# not have header labels. If you'd like to add header labels to an existing
# pivot table, please delete the existing pivot table and then create a new
# pivot table with same parameters.
# +--------------+---------+-------+
# | SUM of Units | Product | |
# | Region | Pen | Paper |
# +--------------+---------+-------+
# | New York | 345 | 98 |
# | Oregon | 234 | 123 |
# | Tennessee | 531 | 415 |
# +--------------+---------+-------+
# | Grand Total | 1110 | 636 |
# +--------------+---------+-------+
# Corresponds to the JSON property `label`
# @return [String]
attr_accessor :label
# True if the headings in this pivot group should be repeated.
# This is only valid for row groupings and will be ignored by columns.
# By default, we minimize repitition of headings by not showing higher
# level headings where they are the same. For example, even though the
# third row below corresponds to "Q1 Mar", "Q1" is not shown because
# it is redundant with previous rows. Setting repeat_headings to true
# would cause "Q1" to be repeated for "Feb" and "Mar".
# +--------------+
# | Q1 | Jan |
# | | Feb |
# | | Mar |
# +--------+-----+
# | Q1 Total |
# +--------------+
# Corresponds to the JSON property `repeatHeadings`
# @return [Boolean]
attr_accessor :repeat_headings
alias_method :repeat_headings?, :repeat_headings
# True if the pivot table should include the totals for this grouping.
# Corresponds to the JSON property `showTotals`
# @return [Boolean]
@@ -5896,6 +6081,9 @@ module Google
# Update properties of this object
def update!(**args)
@group_rule = args[:group_rule] if args.key?(:group_rule)
@label = args[:label] if args.key?(:label)
@repeat_headings = args[:repeat_headings] if args.key?(:repeat_headings)
@show_totals = args[:show_totals] if args.key?(:show_totals)
@sort_order = args[:sort_order] if args.key?(:sort_order)
@source_column_offset = args[:source_column_offset] if args.key?(:source_column_offset)
@@ -5904,6 +6092,89 @@ module Google
end
end
# 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.
class PivotGroupRule
include Google::Apis::Core::Hashable
# 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 will be placed into groups of size
# HistogramRule.interval. In addition, all values below
# HistogramRule.start will be placed in one group, and all values above
# HistogramRule.end will be 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`
# @return [Google::Apis::SheetsV4::HistogramRule]
attr_accessor :histogram_rule
# 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 (e.g. 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`
# @return [Google::Apis::SheetsV4::ManualRule]
attr_accessor :manual_rule
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@histogram_rule = args[:histogram_rule] if args.key?(:histogram_rule)
@manual_rule = args[:manual_rule] if args.key?(:manual_rule)
end
end
# Information about which values in a pivot group should be used for sorting.
class PivotGroupSortValueBucket
include Google::Apis::Core::Hashable
@@ -6043,6 +6314,16 @@ module Google
class PivotValue
include Google::Apis::Core::Hashable
# If specified, indicates that pivot values should be displayed as
# the result of a calculation with another pivot value. For example, if
# calculated_display_type is specified as PERCENT_OF_GRAND_TOTAL, all the
# pivot values will be displayed as the percentage of the grand total. In
# the Sheets UI, this is referred to as "Show As" in the value section of a
# pivot table.
# Corresponds to the JSON property `calculatedDisplayType`
# @return [String]
attr_accessor :calculated_display_type
# A custom formula to calculate the value. The formula must start
# with an `=` character.
# Corresponds to the JSON property `formula`
@@ -6078,6 +6359,7 @@ module Google
# Update properties of this object
def update!(**args)
@calculated_display_type = args[:calculated_display_type] if args.key?(:calculated_display_type)
@formula = args[:formula] if args.key?(:formula)
@name = args[:name] if args.key?(:name)
@source_column_offset = args[:source_column_offset] if args.key?(:source_column_offset)