Introduction ¶

The piece introduces Openpyxl as “a Python library used for manipulating Excel files.” The author describes encountering a project requiring data export to XLSX format and selected this library for its straightforward implementation.

Reading XLSX Files ¶

To load an Excel file, developers instantiate a Workbook object:

from openpyxl import load_workbook
wb = load_workbook(filename = 'empty_book.xlsx')
sheet = book.active

Cell values retrieve via coordinate reference: sheet['D18'].value

For batch processing, iteration works effectively:

for row in sheet.iter_rows(min_row=2, min_col=1):
    print(row[2].value, row[3].value, row[4].value)

Writing to XLSX Files ¶

File creation requires instantiating a Workbook object before saving:

from openpyxl import Workbook
wb = Workbook()
ws1 = wb.active
ws1.title = "Range"

The append() function assigns iterables to sequential cells. Additional sheets use create_sheet(). Files save via wb.save(filename=dest_filename).

Django Integration ¶

For web applications, save workbooks to response objects rather than disk. Set the content type to application/vnd.openxmlformats-officedocument.spreadsheetml.sheet and configure content disposition as attachment:

response = HttpResponse(
    content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
)
response['Content-Disposition'] = 'attachment; filename=export.xlsx'
workbook.save(response)
return response

Conclusion ¶

The tutorial emphasizes that Openpyxl covers most standard requirements. Users should progress from basic read/write operations toward advanced formatting techniques via official documentation.