pandoras 0.2.0

Undo/Redo functionality for Pandas DataFrames using Apache Arrow

Pandoras 🐼🎭

Undo/Redo functionality for Pandas DataFrames using Apache Arrow.

Pandoras extends pandas.DataFrame to add undo/redo capabilities, allowing you to revert accidental modifications easily.

🚀 Installation

You can install pandoras via pip:

pip install pandoras

📌 Features

✔ Undo and redo modifications (drop, rename, replace, etc.)
✔ Leverages Apache Arrow for efficient state storage
✔ Supports Pandas' native operations

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💡 Example Usage

import pandoras as pd  # drop-in for pandas; pd.DataFrame is PandorasDataFrame

# Create a DataFrame
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, None, 6]})

# Drop a column (in place)
df.drop(columns=["B"], inplace=True)
print("After drop:\n", df)

# Undo the drop
df.undo()
print("After undo:\n", df)

# Redo the drop
df.redo()
print("After redo:\n", df)

import pandoras as pd re-exports the pandas API and overrides only DataFrame within the pandoras namespace — it does not monkeypatch the real pandas package, so the rest of your process is unaffected. You can also use it explicitly: from pandoras import PandorasDataFrame.

Tracked operations

Undo/redo records state for the inplace=True form of these methods: drop, rename, replace, reset_index, set_index, fillna, dropna, sort_values, sort_index. The non-inplace form returns a new frame and leaves history untouched. Use history_size / future_size to inspect the stacks and clear_history() to reset them.

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🔮 Future Improvements

🚀 Diff-based state tracking instead of storing full DataFrame copies
🚀 Optimize memory usage using compression

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🌜 License

Pandoras is open-source and licensed under the MIT License. Contributions are welcome!

🤝 Contributing

1. Fork the repo on GitHub
2. Clone it locally
3. Create a new feature branch
4. Submit a pull request

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🌍 Connect

📌 GitHub Repo: https://github.com/al2m4n/pandoras/
📌 PyPI Package: https://pypi.org/project/pandoras/
📌 Author: Arman Bahlakeh

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🐼 Pandoras – Making Pandas Undoable! 🎭