Project: uproot4

ROOT I/O in pure Python and NumPy.

Project Details

Latest version
4.0.0
Home Page
https://github.com/scikit-hep/uproot4
PyPI Page
https://pypi.org/project/uproot4/

Project Popularity

PageRank
0.0016429565032898968
Number of downloads
130815

Scikit-HEP NSF-1836650 DOI Python 3.5β€’3.9 License

Uproot is a reader and a writer of the ROOT file format using only Python and Numpy. Unlike the standard C++ ROOT implementation, Uproot is only an I/O library, primarily intended to stream data into machine learning libraries in Python. Unlike PyROOT and root_numpy, Uproot does not depend on C++ ROOT. Instead, it uses Numpy to cast blocks of data from the ROOT file as Numpy arrays.

Installation

Uproot can be installed from PyPI using pip (Awkward Array is optional but highly recommended):

pip install uproot awkward

Uproot is also available using conda (so is Awkward Array, which conda installs automatically):

conda install -c conda-forge uproot

If you have already added conda-forge as a channel, the -c conda-forge is unnecessary. Adding the channel is recommended because it ensures that all of your packages use compatible versions:

conda config --add channels conda-forge
conda update --all

Note: if you need to write ROOT files, you'll need to use the deprecated uproot3 for now. This feature is coming to the new version soon.

Getting help

Start with the tutorials and reference documentation.

  • Report bugs, request features, and ask for additional documentation on GitHub Issues.
  • If you have a "How do I...?" question, ask about it on StackOverflow with the [uproot] tag. Be sure to include tags for any other libraries that you use, such as Pandas or PyTorch.
  • To ask questions in real time, try the Gitter Scikit-HEP/uproot chat room.

Installation for developers

Uproot is an ordinary Python library; you can get a copy of the code with

git clone https://github.com/scikit-hep/uproot4.git

and install it locally by calling pip install . in the repository directory.

If you need to develop Awkward Array as well, see its installation for developers.

Dependencies

Uproot's only strict dependency is NumPy. This is the only dependency that pip will automatically install.

Awkward Array is highly recommended. It is not a strict dependency to allow Uproot to be used in restrictive environments. If you're using Uproot without Awkward Array, you'll have to use the library="np" option or globally set uproot.default_library to return arrays as NumPy arrays (see documentation).

  • awkward: be sure to use Awkward Array 1.x.

The following libraries are also useful in conjunction with Uproot, but are not necessary. If you call a function that needs one, you'll be prompted to install it. (Conda installs most of these automatically.)

For ROOT files, compressed different ways:

  • lz4 and xxhash: only if reading ROOT files that have been LZ4-compressed.
  • zstandard: only if reading ROOT files that have been ZSTD-compressed.
  • backports.lzma: only if reading ROOT files that have been LZMA-compressed (in Python 2).

For remote data:

  • xrootd: only if reading files with root:// URLs.

For exporting data to other libraries:

  • pandas: only if library="pd".
  • cupy: only if library="cp" (reads arrays onto GPUs).
  • boost-histogram: only if converting histograms to boost-histogram with histogram.to_boost().
  • hist: only if converting histograms to hist with histogram.to_hist().

Acknowledgements

Support for this work was provided by NSF cooperative agreement OAC-1836650 (IRIS-HEP), grant OAC-1450377 (DIANA/HEP) and PHY-1520942 (US-CMS LHC Ops).

Thanks especially to the gracious help of Uproot contributors (including the original repository).


Jim Pivarski

πŸ’» πŸ“– πŸš‡ 🚧

Pratyush Das

πŸ’» πŸš‡

Chris Burr

πŸ’» πŸš‡

Dmitri Smirnov

πŸ’»

Matthew Feickert

πŸš‡

Tamas Gal

πŸ’»

Luke Kreczko

πŸ’» ⚠️

Nicholas Smith

πŸ’»

Noah Biederbeck

πŸ’»

Oksana Shadura

πŸ’» πŸš‡

Henry Schreiner

πŸ’» πŸš‡ ⚠️

Mason Proffitt

πŸ’» ⚠️

Jonas Rembser

πŸ’»

benkrikler

πŸ’»

Hans Dembinski

πŸ“–

Marcel R.

πŸ’»

Ruggero Turra

πŸ’»

Jonas RΓΌbenach

πŸ’»

bfis

πŸ’»

Raymond Ehlers

πŸ’»

Andrzej Novak

πŸ’»

Josh Bendavid

πŸ’»

Doug Davis

πŸ’»

Chao Gu

πŸ’»

Lukas Koch

πŸ’»

Michele Peresano

πŸ’»

Edoardo

πŸ’»

JMSchoeffmann

πŸ’»

alexander-held

πŸ’»

πŸ’»: code, πŸ“–: documentation, πŸš‡: infrastructure, 🚧: maintainance, ⚠: tests and feedback, πŸ€”: foundational ideas.