pylightxl - A Light Weight Excel Reader/Writer
Documentation
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
High-Level Feature Summary
-
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
-
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)
Limitations
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.
Why pylightxl over pandas/openpyxl/xlrd
-
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 weigh your project down (preferable for django apps)
- Do you struggle with
pyinstaller
or other exe
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)
or db.ws('Sheet1').address(address='B1')
db.ws('Sheet1').row(1)
or db.ws('Sheet1').col(1)
Setup
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
pypi version 1.61
- bug-fix: occasionally a
<definedName>
tag would case pylightxl to add duplicate of the same worksheet, see issue #72 - update: updated date handling (code cleanup)
- added feature: added python2 compatible typing to the library
- added feature: added
io.StringIO
support to readcsv
See full history log of revisions: Here
Contact/Questions/Suggestions
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!