Function PivotTable Alpha

PivotTable(props, deprecatedLegacyContext?): null | ReactElement< any, any >

Pivot table with pagination.

Parameters

Parameter	Type	Description
props	PivotTableProps	Pivot Table properties
deprecatedLegacyContext?	any	::: warning Deprecated ::: See React Docs (opens new window)

Returns

null | ReactElement< any, any >

Pivot Table component

Example

(1) Example of PivotTable from the Sample ECommerce data model:

<PivotTable
  dataSet={DM.DataSource}
  dataOptions={{
    rows: [
      { column: DM.Category.Category, includeSubTotals: true },
      { column: DM.Commerce.AgeRange, includeSubTotals: true },
      DM.Commerce.Condition,
    ],
    columns: [{ column: DM.Commerce.Gender, includeSubTotals: true }],
    values: [
      {
        column: measureFactory.sum(DM.Commerce.Cost, 'Total Cost'),
        dataBars: true,
        totalsCalculation: 'sum',
      },
      {
        column: measureFactory.sum(DM.Commerce.Revenue, 'Total Revenue'),
        totalsCalculation: 'sum',
      },
    ],
    grandTotals: { title: 'Grand Total', rows: true, columns: true },
  }}
  filters={[filterFactory.members(DM.Commerce.Gender, ['Female', 'Male'])]}
  styleOptions={{ width: 1000, height: 600, rowsPerPage: 50 }}
/>

(2) Example of PivotTable with the predefined sorting configuration:

• Sort "Condition" row by its values in Ascending order. This is equivalent to users clicking on the "Condition" row heading and hit Sort Ascending (A-Z)
• Sort "Category" row by "Total Cost" values under the "columns" values of "Female" (for Gender) and "0-18" (for AgeRange) in Descending order. This is equivalent to users clicking on the "Total Cost" value heading under "Female" (for Gender) and "0-18" (for AgeRange) and sort "Category (Subtotals)" in Descending (9-1)

<PivotTable
  dataSet={DM.DataSource}
  dataOptions={{
    rows: [
      {
        column: DM.Category.Category,
        includeSubTotals: true,
        sortType: {
          direction: 'sortDesc',
          by: {
            valuesIndex: 0,
            columnsMembersPath: ['Female', '0-18']
          }
        }
      },
      {
        column: DM.Commerce.Condition,
        sortType: {
          direction: 'sortAsc'
        }
      },
    ],
    columns: [
      DM.Commerce.Gender,
      DM.Commerce.AgeRange
    ],
    values: [
      measureFactory.sum(DM.Commerce.Cost, 'Total Cost'),
      measureFactory.sum(DM.Commerce.Quantity, 'Total Quantity'),
    ],
  }}
/>