uprootopen

uprootopen is a Python library designed for reading and writing ROOT files, a data format commonly used in high-energy physics and scientific research. It aims to provide a modern and efficient interface to ROOT data structures directly within Python, without requiring a full installation of the ROOT C++ framework.

The library's core functionality revolves around accessing data within ROOT files, such as TTree objects, which are used to store large datasets in a tabular format. uprootopen allows users to navigate these structures, extract specific branches (columns), and load data into NumPy arrays or Pandas DataFrames for further analysis. This seamless integration with popular Python data science libraries is a key feature.

Beyond reading, uprootopen also supports writing ROOT files. Users can create new ROOT files or modify existing ones, enabling them to store their processed data or analysis results in a format compatible with the wider scientific community. The library handles the complexities of the ROOT file format, abstracting them away from the user.

uprootopen is known for its speed and memory efficiency, particularly when dealing with very large files. It achieves this through techniques like lazy loading and vectorized operations, ensuring that only the necessary data is read into memory. This makes it a valuable tool for researchers working with terabytes of experimental data.