PivotTable
A pivot table.
JSON representation |
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{ "rows": [ { object ( |
Fields | |
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rows[]
|
Each row grouping in the pivot table. |
columns[]
|
Each column grouping in the pivot table. |
criteria
|
An optional mapping of filters per source column offset. The filters are applied before aggregating data into the pivot table. The map's key is the column offset of the source range that you want to filter, and the value is the criteria for that column.
For example, if the source was
This field is deprecated in favor of
|
filterSpecs[]
|
The filters applied to the source columns before aggregating data for the pivot table.
Both
|
values[]
|
A list of values to include in the pivot table. |
valueLayout
|
Whether values should be listed horizontally (as columns) or vertically (as rows). |
dataExecutionStatus
|
Output only. The data execution status for data source pivot tables. |
Union field
source_data . The source of the pivot table data.
source_data
can be only one of the following:
|
|
source
|
The range the pivot table is reading data from. |
dataSourceId
|
The ID of the data source the pivot table is reading data from. |
PivotGroup
A single grouping (either row or column) in a pivot table.
JSON representation |
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{ "showTotals": boolean, "valueMetadata": [ { object ( |
Fields | |
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showTotals
|
True if the pivot table should include the totals for this grouping. |
valueMetadata[]
|
Metadata about values in the grouping. |
sortOrder
|
The order the values in this group should be sorted. |
valueBucket
|
The bucket of the opposite pivot group to sort by. If not specified, sorting is alphabetical by this group's values. |
repeatHeadings
|
True if the headings in this pivot group should be repeated. This is only valid for row groupings and is ignored by columns. By default, we minimize repetition 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 repeatHeadings to true would cause "Q1" to be repeated for "Feb" and "Mar".
|
label
|
The labels to use for the row/column groups which can be customized. For example, in the following pivot table, the row label is
|
groupRule
|
The group rule to apply to this row/column group. |
groupLimit
|
The count limit on rows or columns to apply to this pivot group. |
Union field
source . The data source of the pivot group.
source
can be only one of the following:
|
|
sourceColumnOffset
|
The column offset of the source range that this grouping is based on.
For example, if the source was
|
dataSourceColumnReference
|
The reference to the data source column this grouping is based on. |
PivotGroupValueMetadata
Metadata about a value in a pivot grouping.
JSON representation |
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{
"value": {
object (
|
Fields | |
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value
|
The calculated value the metadata corresponds to. (Note that
|
collapsed
|
True if the data corresponding to the value is collapsed. |
PivotGroupSortValueBucket
Information about which values in a pivot group should be used for sorting.
JSON representation |
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{
"valuesIndex": integer,
"buckets": [
{
object (
|
Fields | |
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valuesIndex
|
The offset in the
|
buckets[]
|
Determines the bucket from which values are chosen to sort. For example, in a pivot table with one row group & two column groups, the row group can list up to two values. The first value corresponds to a value within the first column group, and the second value corresponds to a value in the second column group. If no values are listed, this would indicate that the row should be sorted according to the "Grand Total" over the column groups. If a single value is listed, this would correspond to using the "Total" of that bucket. |
PivotGroupRule
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.
JSON representation |
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{ // Union field |
Fields | |
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Union field
rule . The rule to apply to the
PivotGroup .
rule
can be only one of the following:
|
|
manualRule
|
A
|
histogramRule
|
|
dateTimeRule
|
A
|
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 |
...
+-----------+-------------------+
JSON representation |
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{
"groups": [
{
object (
|
Fields | |
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groups[]
|
The list of group names and the corresponding items from the source data that map to each group name. |
ManualRuleGroup
A group name and a list of items from the source data that should be placed in the group with this name.
JSON representation |
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{ "groupName": { object ( |
Fields | |
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groupName
|
The group name, which must be a string. Each group in a given
|
items[]
|
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
|
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 |
+-------------+-------------------+
JSON representation |
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{ "interval": number, "start": number, "end": number } |
Fields | |
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interval
|
The size of the buckets that are created. Must be positive. |
start
|
The minimum value at which items are placed into buckets of constant size. Values below start are lumped into a single bucket. This field is optional. |
end
|
The maximum value at which items are placed into buckets of constant size. Values above end are lumped into a single bucket. This field is optional. |
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 |
...
+--------------+--------------+
JSON representation |
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{
"type": enum (
|
Fields | |
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type
|
The type of date-time grouping to apply. |
DateTimeRuleType
The available types of date-time grouping rules. This documentation assumes the spreadsheet locale is "en-US", though the actual rendering of the dates and times uses the locale of the spreadsheet for some rule types.
Enums | |
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DATE_TIME_RULE_TYPE_UNSPECIFIED
|
The default type, do not use. |
SECOND
|
Group dates by second, from 0 to 59. |
MINUTE
|
Group dates by minute, from 0 to 59. |
HOUR
|
Group dates by hour using a 24-hour system, from 0 to 23. |
HOUR_MINUTE
|
Group dates by hour and minute using a 24-hour system, for example 19:45. |
HOUR_MINUTE_AMPM
|
Group dates by hour and minute using a 12-hour system, for example 7:45 PM. The AM/PM designation is translated based on the spreadsheet locale. |
DAY_OF_WEEK
|
Group dates by day of week, for example Sunday. The days of the week will be translated based on the spreadsheet locale. |
DAY_OF_YEAR
|
Group dates by day of year, from 1 to 366. Note that dates after Feb. 29 fall in different buckets in leap years than in non-leap years. |
DAY_OF_MONTH
|
Group dates by day of month, from 1 to 31. |
DAY_MONTH
|
Group dates by day and month, for example 22-Nov. The month is translated based on the spreadsheet locale. |
MONTH
|
Group dates by month, for example Nov. The month is translated based on the spreadsheet locale. |
QUARTER
|
Group dates by quarter, for example Q1 (which represents Jan-Mar). |
YEAR
|
Group dates by year, for example 2008. |
YEAR_MONTH
|
Group dates by year and month, for example 2008-Nov. The month is translated based on the spreadsheet locale. |
YEAR_QUARTER
|
Group dates by year and quarter, for example 2008 Q4. |
YEAR_MONTH_DAY
|
Group dates by year, month, and day, for example 2008-11-22. |
PivotGroupLimit
The count limit on rows or columns in the pivot group.
JSON representation |
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{ "countLimit": integer, "applyOrder": integer } |
Fields | |
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countLimit
|
The count limit. |
applyOrder
|
The order in which the group limit is applied to the pivot table. Pivot group limits are applied from lower to higher order number. Order numbers are normalized to consecutive integers from 0.
For write request, to fully customize the applying orders, all pivot group limits should have this field set with an unique number. Otherwise, the order is determined by the index in the
|
PivotFilterCriteria
Criteria for showing/hiding rows in a pivot table.
JSON representation |
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{
"visibleValues": [
string
],
"condition": {
object (
|
Fields | |
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visibleValues[]
|
Values that should be included. Values not listed here are excluded. |
condition
|
A condition that must be true for values to be shown. (
Condition values that refer to ranges in A1-notation are evaluated relative to the pivot table sheet. References are treated absolutely, so are not filled down the pivot table. For example, a condition value of
The source data of the pivot table can be referenced by column header name. For example, if the source data has columns named "Revenue" and "Cost" and a condition is applied to the "Revenue" column with type
|
visibleByDefault
|
Whether values are visible by default. If true, the
|
PivotFilterSpec
The pivot table filter criteria associated with a specific source column offset.
JSON representation |
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{ "filterCriteria": { object ( |
Fields | |
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filterCriteria
|
The criteria for the column. |
Union field
source . The source column that this filter applies to.
source
can be only one of the following:
|
|
columnOffsetIndex
|
The zero-based column offset of the source range. |
dataSourceColumnReference
|
The reference to the data source column. |
PivotValue
The definition of how a value in a pivot table should be calculated.
JSON representation |
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{ "summarizeFunction": enum ( |
Fields | |
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summarizeFunction
|
A function to summarize the value. If
|
name
|
A name to use for the value. |
calculatedDisplayType
|
If specified, indicates that pivot values should be displayed as the result of a calculation with another pivot value. For example, if calculatedDisplayType is specified as PERCENT_OF_GRAND_TOTAL, all the pivot values are displayed as the percentage of the grand total. In the Sheets editor, this is referred to as "Show As" in the value section of a pivot table. |
Union field
value . The data to use for the values in the pivot table. Exactly one value must be set.
value
can be only one of the following:
|
|
sourceColumnOffset
|
The column offset of the source range that this value reads from.
For example, if the source was
|
formula
|
A custom formula to calculate the value. The formula must start with an
|
dataSourceColumnReference
|
The reference to the data source column that this value reads from. |
PivotValueSummarizeFunction
A function to summarize a pivot value.
Enums | |
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PIVOT_STANDARD_VALUE_FUNCTION_UNSPECIFIED
|
The default, do not use. |
SUM
|
Corresponds to the
SUM
function.
|
COUNTA
|
Corresponds to the
COUNTA
function.
|
COUNT
|
Corresponds to the
COUNT
function.
|
COUNTUNIQUE
|
Corresponds to the
COUNTUNIQUE
function.
|
AVERAGE
|
Corresponds to the
AVERAGE
function.
|
MAX
|
Corresponds to the
MAX
function.
|
MIN
|
Corresponds to the
MIN
function.
|
MEDIAN
|
Corresponds to the
MEDIAN
function.
|
PRODUCT
|
Corresponds to the
PRODUCT
function.
|
STDEV
|
Corresponds to the
STDEV
function.
|
STDEVP
|
Corresponds to the
STDEVP
function.
|
VAR
|
Corresponds to the
VAR
function.
|
VARP
|
Corresponds to the
VARP
function.
|
CUSTOM
|
Indicates the formula should be used as-is. Only valid if
PivotValue.formula
was set.
|
NONE
|
Indicates that the value is already summarized, and the summarization function is not explicitly specified. Used for Looker data source pivot tables where the value is already summarized. |
PivotValueCalculatedDisplayType
The possible ways that pivot values may be calculated for display.
Enums | |
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PIVOT_VALUE_CALCULATED_DISPLAY_TYPE_UNSPECIFIED
|
Default value, do not use. |
PERCENT_OF_ROW_TOTAL
|
Shows the pivot values as percentage of the row total values. |
PERCENT_OF_COLUMN_TOTAL
|
Shows the pivot values as percentage of the column total values. |
PERCENT_OF_GRAND_TOTAL
|
Shows the pivot values as percentage of the grand total values. |
PivotValueLayout
The layout of pivot values.
Enums | |
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HORIZONTAL
|
Values are laid out horizontally (as columns). |
VERTICAL
|
Values are laid out vertically (as rows). |