A light weight, zero dependency (only standard libs used), to the point (no bells and whistles)
Microsoft Excel reader/writer python 2.7.18 - 3+ library.
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Project featured on PythonBytes Podcast Episode #165
-
Reader
- supports Microsoft Excel 2004+ files (
.xlsx
,.xlsm
) and.csv
files - read files via str path, pathlib path or file objects
- read all or selective sheets
- read type converted cell value (string, int, float), formula, comments, and named ranges
- supports Microsoft Excel 2004+ files (
-
Database
- call cell value by row/col ID, excel address, or range
- call an entire row/col or a semi-structured table based on user-defined headers
-
Writer
- write to new excel file (write excel files without having excel on your machine)
- write to existing excel files (see limitations below)
Although every effort was made to support a variety of users, the following limitations should be read carefully:
-
Does not support
.xls
files (Microsoft Excel 2003 and older files) -
Writer does not support anything other than cell data (no graphs, images, macros, formatting)
-
Does not support worksheet cell data more than 536,870,912 cells (32-bit list limitation), please use 64-bit if more data storage is required.
-
Zero non-standard library dependencies!
- No compatibility/version control issues.
-
Python2.7.18 to Python3+ support for life!
- Don't worry about which python version you are using, pylightxl will support it for life
-
Light-weight single source code file
- Want your project remain truly dependent-less? Copy the single source file into your project without any extra dependency issues or setup.
- Do you struggle with other libraries weighing your projects down due to their very large size? Pylightxl's single source file size and zero dependency will not weight your project down (preferable for django apps)
- Do you struggle with
pyinstaller
or otherexe
wrappers failing to build or building to very large packages? Pylightxl will not cause any build errors and will not add to your build size since it has zero dependencies and a small lib size. - Do you struggle with download restrictions at your company? Copy the entire pylightxl source from 1 single file and use it in your project.
-
100% test-driven development for highest reliability/maintainability that aims for 100% coverage on all supported versions
- Pylightxl aims to test all of its features, however unforeseen edge cases can occur when receiving excel files created by non-microsoft excel. We actively monitor issues to add support for these edge cases should they arise.
-
API aimed to be user friendly and intuitive and well documented. Structure: database > worksheet > indexing
db.ws('Sheet1').index(row=1,col=2)
ordb.ws('Sheet1').address(address='B1')
db.ws('Sheet1').row(1)
ordb.ws('Sheet1').col(1)
pylightxl is officially published on pypi.org, however one of the key features of pylightxl is that it is packed light in case the user has pip and/or download restrictions, see docs - installation
pip install pylightxl
- improvement: added support for non-standard sheet ids, see issue #55
- improvement: added support for general IO file type inputs, see issue #57
See full history log of revisions: Here
If you have any questions or feedback, we would love to hear from you - send us a post directly on GitHub.
We try to keep an active lookout for users trying to solve Microsoft Excel related problems with python on Stack Overflow. Please help us build on the great community that python already is by helping others get up to speed with pylightxl!
From everyone in the pylightxl family, thank you for visiting!