This library is intended to help you deal with big Excel files from within Python. After trying pandas, openpyxl, xlwings, and even win32com it seems that none have the ability to iterate over large Excel files without loading them completely into memory. So when you are dealing with files that are extremely large, this can be burdensome (especially if you only want to examine a bit of the file - the first 10 rows say). This library solves that by parsing the SpreadsheetML / XML xlsx files using a streaming parser. So you can see the first ten rows of any tab within any Excel file extremely quickly.
There are no dependancies to install. You just need to:
pip install sxl
Once installed, you can iterate through the entire file without using much memory by doing the following:
from sxl import Workbook
wb = Workbook("filepath")
ws = wb.sheets['sheet name'] # or, for example, wb.sheets[1]
for row in ws.rows:
print(row)
Note that by default we assume the workbook is encoded with UTF-8. If you need to specifiy a different encoding, you can do so when opening the workbook:
wb = Workbook("filepath", encoding='cp1252')
If you are only interested in a few rows:
head = ws.head(5) print(head)
To run tests:
python -m tests.test_sxl
The project is licensed under the MIT License - see the LICENSE.md file for details