🚀 xlsx2pandas (PandasXcelerator)
Part of a ProjectText Suite. xlsx2pandas (PandasXcelerator) is a Python library for extraction of tables in Excel sheets into a pandas DataFrames.
🌟 Features
TODO: features
📥 Installation
To install xlsx2pandas, use the following pip command:
pip3 install git+https://github.com/Flagro/xlsx2pandas.git
📘 Usage
Run xlsx2pandas from the bin folder with these arguments:
path: Path to the file or directory to process.--sheet: (Optional) Comma-separated list of excel workbooks's sheets.
🖥️ Example Command
xlsx2pandas 'path/to/file' --sheet Sheet1,Sheet2
🤝 Collaboration & Issues
Open for collaboration; check the issues page for discussions.
Here's how you can contribute:
- Fork the Project.
- Create your Feature Branch (
git checkout -b feature/AmazingFeature). - Commit your Changes (
git commit -m 'Add some AmazingFeature'). - Push to the Branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
Release files for xlsx2pandas 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xlsx2pandas-0.0.1.tar.gz | 8.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xlsx2pandas-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.0 kB
Release files / xlsx2pandas-0.0.1.tar.gz
| Download URL | xlsx2pandas-0.0.1.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
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Release files / xlsx2pandas-0.0.1-py3-none-any.whl
| Download URL | xlsx2pandas-0.0.1-py3-none-any.whl |
|---|---|
| Size | 11.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
|