Özel sıralama Pivot Tablosu

Aspose.Cells for Python Excel Kütüphanesi Kullanarak Pivot Tablosunda Özel Sıralamanın Nasıl Ayarlanacağı

Aspose.Cells for Python via .NET API’sını kullanarak, Pivot Tablolarını alan değerlerine göre sıralayabilirsiniz. Aşağıdaki kod örneği, örnek excel dosyasını yükler ve üç adet pivot tablosu ekler. İlk pivot tablosu özel sıralama olmadan, ikinci pivot tablosu “SeaFood” satır alan değerlerine göre sıralanmıştır ve üçüncü pivot tablosu “28/07/2000” sütun alan değerlerine göre sıralanmıştır.

Örnek kaynak dosyası ve çıktı dosyaları test etmek için buradan indirilebilir:

Kaynak Excel Dosyası

Çıktı Excel Dosyası

Çıktı PDF Dosyası

Örnek Kod

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)