A high-performance Python library to read/write Excel 2010 xlsx/xlsm files
Project description
Introduction
fastpyxl is a high-performance Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It is a fork of openpyxl, focused on optimized performance for large-scale Excel processing.
All kudos to the PHPExcel team and the openpyxl developers whose work this project builds upon.
Security
By default fastpyxl does not guard against quadratic blowup or billion laughs xml attacks. To guard against these attacks install defusedxml.
Sample code:
from fastpyxl import Workbook
wb = Workbook()
# grab the active worksheet
ws = wb.active
# Data can be assigned directly to cells
ws['A1'] = 42
# Rows can also be appended
ws.append([1, 2, 3])
# Python types will automatically be converted
import datetime
ws['A2'] = datetime.datetime.now()
# Save the file
wb.save("sample.xlsx")
Documentation
The documentation is at: https://fastpyxl.readthedocs.io
installation methods
code examples
instructions for contributing
Release notes: https://fastpyxl.readthedocs.io/en/stable/changes.html
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