Custom sorting in Pivot Table

How to Set Custom Sorting in Pivot Table Using Aspose.Cells for Python Excel Library

By using the Aspose.Cells for Python via .NET API, you can sort Pivot Tables on field values. The following code snippet loads the sample excel file and adds three pivot tables. The first pivot table is without custom sorting, the second pivot table is sorted on “SeaFood” row field values and the third pivot table is sorted on “28/07/2000” column field values.

Sample source file and output files can be downloaded from here for testing the sample code:

Source Excel File

Output Excel File

Output PDF File

Sample Code

from aspose.cells import PdfSaveOptions, Workbook
from aspose.cells.pivot import PivotFieldType

#  For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET
# Source directory
sourceDir = RunExamples.Get_SourceDirectory()
outputDir = RunExamples.Get_OutputDirectory()
wb = Workbook(sourceDir + "SamplePivotSort.xlsx")
#  Obtaining the reference of the newly added worksheet
sheet = wb.worksheets[0]
pivotTables = sheet.pivot_tables
#  source PivotTable
#  Adding a PivotTable to the worksheet
index = pivotTables.add("=Sheet1!A1:C10", "E3", "PivotTable2")
# Accessing the instance of the newly added PivotTable
pivotTable = pivotTables[index]
#  Unshowing grand totals for rows.
pivotTable.row_grand = False
pivotTable.column_grand = False
#  Dragging the first field to the row area.
pivotTable.add_field_to_area(PivotFieldType.ROW, 1)
rowField = pivotTable.row_fields[0]
rowField.is_auto_sort = True
rowField.is_ascend_sort = True
#  Dragging the second field to the column area.
pivotTable.add_field_to_area(PivotFieldType.COLUMN, 0)
colField = pivotTable.column_fields[0]
colField.number_format = "dd/mm/yyyy"
colField.is_auto_sort = True
colField.is_ascend_sort = True
#  Dragging the third field to the data area.
pivotTable.add_field_to_area(PivotFieldType.DATA, 2)
pivotTable.refresh_data()
pivotTable.calculate_data()
#  end of source PivotTable
#  sort the PivotTable on "SeaFood" row field values
#  Adding a PivotTable to the worksheet
index = pivotTables.add("=Sheet1!A1:C10", "E10", "PivotTable2")
#  Accessing the instance of the newly added PivotTable
pivotTable = pivotTables[index]
#  Unshowing grand totals for rows.
pivotTable.row_grand = False
pivotTable.column_grand = False
#  Dragging the first field to the row area.
pivotTable.add_field_to_area(PivotFieldType.ROW, 1)
rowField = pivotTable.row_fields[0]
rowField.is_auto_sort = True
rowField.is_ascend_sort = True
#  Dragging the second field to the column area.
pivotTable.add_field_to_area(PivotFieldType.COLUMN, 0)
colField = pivotTable.column_fields[0]
colField.number_format = "dd/mm/yyyy"
colField.is_auto_sort = True
colField.is_ascend_sort = True
colField.auto_sort_field = 0
# Dragging the third field to the data area.
pivotTable.add_field_to_area(PivotFieldType.DATA, 2)
pivotTable.refresh_data()
pivotTable.calculate_data()
#  end of sort the PivotTable on "SeaFood" row field values
#  sort the PivotTable on "28/07/2000" column field values
#  Adding a PivotTable to the worksheet
index = pivotTables.add("=Sheet1!A1:C10", "E18", "PivotTable2")
#  Accessing the instance of the newly added PivotTable
pivotTable = pivotTables[index]
#  Unshowing grand totals for rows.
pivotTable.row_grand = False
pivotTable.column_grand = False
#  Dragging the first field to the row area.
pivotTable.add_field_to_area(PivotFieldType.ROW, 1)
rowField = pivotTable.row_fields[0]
rowField.is_auto_sort = True
rowField.is_ascend_sort = True
rowField.auto_sort_field = 0
#  Dragging the second field to the column area.
pivotTable.add_field_to_area(PivotFieldType.COLUMN, 0)
colField = pivotTable.column_fields[0]
colField.number_format = "dd/mm/yyyy"
colField.is_auto_sort = True
colField.is_ascend_sort = True
#  Dragging the third field to the data area.
pivotTable.add_field_to_area(PivotFieldType.DATA, 2)
pivotTable.refresh_data()
pivotTable.calculate_data()
#  end of sort the PivotTable on "28/07/2000" column field values
# Saving the Excel file
wb.save(outputDir + "out_java.xlsx")
options = PdfSaveOptions()
options.one_page_per_sheet = True
wb.save(outputDir + "out_java.pdf", options)