public final class PivotCacheCollection extends Object implements Iterable<PivotCache>
PivotCache
objects in the workbook.
Pivot Tables are used to arrange and aggregate complicated data and drill down on details.
Source of data for Pivot Table can be:
Worksheet
- cell range
, named range
, table, etc.
GemBox.Spreadsheet currently supports creating only worksheet source
.
All other sources are supported through preservation (to correctly round-trip to XLSX format).
Source of the data for Pivot Table contains following information:
Pivot Table does not directly reference its data source, but instead it references a cache of a data source. Cache of a data source contains an in-memory copy of data source scheme and, optionally, data and is stored in a workbook which may contain multiple caches of various sources of data.
Cache can be updated/refreshed from a data source automatically (for example, when opening a workbook) or on request. Cache is used to provide better performance of Pivot Table functionality which requires frequent access to data records and their values and to enable sharing the same data source between multiple Pivot Tables.
GemBox.Spreadsheet represents cache with a PivotCache
type.
Cache source is represented with a PivotCacheSource
type (and its sub-types) and can be accessed from a PivotCache.getCacheSource()
method.
PivotCache
instances are stored in a ExcelFile.getPivotCaches()
collection.
PivotCache
currently doesn't store the actual cached records (it stores only scheme - fields and their properties), but instead Microsoft Excel is instructed to update the record cache from the data source when opening a workbook.
PivotTable
is created from a PivotCache
with the specified name and the specified cell in the worksheet where it is placed using the PivotTableCollection.add(PivotCache, String, String)
methods.
PivotTable
contains the PivotFields
collection which PivotField
elements can be moved
into the following Pivot Table areas:
PivotTable.getPageFields()
collection.
PivotTable.getRowFields()
collection.
PivotTable.getColumnFields()
collection.
PivotTable.getDataFields()
collection.
Each (non-calculated) PivotField
can contain zero or more PivotItem
s which are used for filtering and grouping by a specific value.
Except using fields defined in Pivot Table data source (more precisely, in PivotTable.getPivotCache()
) which cannot be removed, Pivot Table can also define calculated PivotField
s and calculated PivotItem
s which use a formula to specify their values.
Calculated PivotField
can be added using a PivotFieldCollection.addCalculated(String, String)
method and removed using a PivotFieldCollection.removeCalculated(String)
method. Method PivotField.isCalculated()
tells if a field is calculated or is a field from the data source.
Calculated PivotField
is automatically moved to a Values Area (PivotTable.getDataFields()
collection) and only Values Area can contain calculated PivotField
s.
Calculated PivotItem
can be added using a PivotItemCollection.addCalculated(String, String)
method and removed using a PivotItemCollection.removeCalculated(String)
method. Method PivotItem.isCalculated()
tells if an item is calculated.
If calculated PivotField
is added/removed in one PivotTable
, then it is also added/removed from all other PivotTable
s which reference the same PivotTable.getPivotCache()
.
Since adding/removing calculated PivotField
s means changing the data scheme, which is defined in PivotCache
, actual modification is made in PivotCache
and propagated to all PivotTable
s which are referencing it.
PivotField
s can be re-ordered in a specific area using the PivotAreaFieldCollection.move(int, int)
method. PivotItem
s can be re-ordered using the PivotItemCollection.move(int, int)
method.
GemBox.Spreadsheet currently does not provide functionality to read/calculate the actual data from the PivotTable
.
It provides the functionality to arrange and customize PivotField
s, PivotItem
s and PivotTable
appearance.
Because of that PivotTable
data is not rendered/written to other output formats like HTML. When output XLSX file with Pivot Table is opened in Microsoft Excel application, its data is automatically retrieved and calculated from the data source by Microsoft Excel.
Following code demonstrates how to create and customize PivotTable
using GemBox.Spreadsheet component to get the following information out of the sample records:
This information might help you decide if working for GemBox is worth it if you are a man or a woman and in which department would it be the best to work (considering department salaries of other companies).
Input workbook can be downloaded from PivotTableData.xlsx
// Load workbook from XLSX file on Desktop.
ExcelFile workbook = ExcelFile.load("PivotTableData.xlsx");
// Create pivot cache from named range 'Sheet1!PivotDataRange'.
PivotCache pivotCache = workbook.getPivotCaches().addWorksheetSource("Sheet1!PivotDataRange");
// Create pivot table using the specified pivot cache, name it 'PivotTable1' and add it to the 'Sheet1' worksheet at the cell location 'G2'.
PivotTable pivotTable = workbook.getWorksheet("Sheet1").addPivotTable(pivotCache, "PivotTable1", "G2");
// Aggregate 'Salary' values into average value and show it as a percentage of difference from average value for 'GemBox' company.
PivotField field = pivotTable.getDataFields().add("Salary");
field.setFunction(PivotFieldCalculationType.AVERAGE);
field.setNumberFormat("[$$-409]#,##0.00");
field.setShowDataAs(PivotFieldDisplayFormat.PERCENTAGE_OF_DIFFERENCE);
field.setBaseField(pivotTable.getPivotFields().get("Company"));
field.setBaseItem(field.getBaseField().getPivotItems().get("GemBox"));
// Aggregate 'Salary' values into max value and show it as a percentage of difference from max value for 'GemBox' company.
field = pivotTable.getDataFields().add("Salary");
field.setFunction(PivotFieldCalculationType.MAX);
field.setNumberFormat("[$$-409]#,##0.00");
field.setShowDataAs(PivotFieldDisplayFormat.PERCENTAGE_OF_DIFFERENCE);
field.setBaseField(pivotTable.getPivotFields().get("Company"));
field.setBaseItem(field.getBaseField().getPivotItems().get("GemBox"));
// Group rows first into 'Departments' and then into 'Companies'.
pivotTable.getRowFields().add("Department");
pivotTable.getRowFields().add("Company");
// Group columns first into 'Data' (average 'Salary' and max 'Salary) and then into 'Genders'.
pivotTable.getColumnFields().add(pivotTable.getDataPivotField());
pivotTable.getColumnFields().add("Gender");
// Do not show grand totals for columns because we are only interested in a relative difference between 'GemBox' and other companies.
pivotTable.setColumnGrandTotals(false);
// Style pivot table.
pivotTable.setBuiltInStyle(BuiltInPivotStyleName.PIVOT_STYLE_LIGHT_16);
// Save workbook to XLSX file on Desktop.
workbook.save("PivotTable.xlsx");
Modifier and Type | Method and Description |
---|---|
PivotCache |
addWorksheetSource(String reference)
Adds a new
PivotCache from the worksheet data source. |
PivotCache |
get(int index)
Gets the
PivotCache at the specified index. |
Iterator<PivotCache> |
iterator()
Returns an iterator for the collection.
|
int |
size()
Gets the number of
PivotCache s contained in the collection. |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
forEach, spliterator
public PivotCache addWorksheetSource(String reference)
PivotCache
from the worksheet data source.reference
- The worksheet data source reference which must refer either to a cell range or a named range.PivotCache
.IllegalArgumentException
- reference
must refer either to a cell range or a named range.public PivotCache get(int index)
PivotCache
at the specified index.index
- The zero-based index of the PivotCache
.PivotCache
at the specified index.public Iterator<PivotCache> iterator()
iterator
in interface Iterable<PivotCache>
public int size()
PivotCache
s contained in the collection.PivotCache
s contained in the collection.© GemBox Ltd. — All rights reserved.