ROOT I/O in pure Python and Numpy.
Project description
.. image:: https://raw.githubusercontent.com/scikit-hep/uproot/master/docs/source/logo-300px.png
:alt: uproot
:target: https://github.com/scikit-hep/uproot
.. inclusion-marker-1-5-do-not-remove
uproot (originally μproot, for "micro-Python ROOT") is a reader and a writer of the `ROOT file format <https://root.cern/>`__ 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.
Python does not necessarily mean slow. As long as the data blocks ("baskets") are large, this "array at a time" approach can even be faster than "event at a time" C++. Below, the rate of reading data into arrays with uproot is shown to be faster than C++ ROOT and root_numpy, as long as the baskets are tens of kilobytes or larger (for a variable number of muons per event in an ensemble of different physics samples).
.. raw:: html
<img src="https://raw.githubusercontent.com/scikit-hep/uproot/master/docs/root-none-muon.png" width="47%" align="left"><img src="https://raw.githubusercontent.com/scikit-hep/uproot/master/docs/rootnumpy-none-muon.png" width="47%" align="right"><br clear="all" />
uproot is not maintained by the ROOT project team, so post bug reports here as `GitHub issues <https://github.com/scikit-hep/uproot/issues>`__, not on a ROOT forum. Thanks!
.. inclusion-marker-2-do-not-remove
Installation
============
Install uproot like any other Python package:
.. code-block:: bash
pip install uproot
or similar (use ``sudo``, ``--user``, ``virtualenv``, or pip-in-conda if you wish).
Strict dependencies:
====================
- `Python <http://docs.python-guide.org/en/latest/starting/installation/>`__ (2.7+, 3.4+)
The following are installed automatically when you install uproot with pip:
- `Numpy <https://scipy.org/install.html>`__ (1.13.1+)
- `awkward-array <https://pypi-hypernode.com/project/awkward>`__ (0.7.0+) to manipulate data from non-flat TTrees, such as jagged arrays (`part of Scikit-HEP <https://github.com/scikit-hep/awkward-array>`__)
- `uproot-methods <https://pypi-hypernode.com/project/uproot-methods>`__ (0.3.0+) for histogram and physics object methods, such as TLorentzVector (`part of Scikit-HEP <https://github.com/scikit-hep/uproot-methods>`__)
- `cachetools <https://pypi-hypernode.com/project/cachetools>`__ for dict-like caches (replaces uproot 2's custom caches)
Optional dependencies:
======================
- `lz4 <https://pypi-hypernode.com/project/lz4>`__ to read lz4-compressed ROOT files (now ROOT's default compression method)
- `lzma <https://anaconda.org/conda-forge/backports.lzma>`__ to read lzma-compressed ROOT files in Python 2 (not needed for Python 3 or if your ROOT files aren't lzma-compressed)
- `futures <https://pypi-hypernode.com/pypi/futures>`__ for parallel processing in Python 2 (not needed for Python 3 or if you don't plan to use parallel processing)
- `XRootD <https://anaconda.org/nlesc/xrootd>`__ to access remote files; get version 4 or later for pyxrootd to be included in the package (unfortunately, you have to compile it manually with CMake)
**Reminder: you do not need C++ ROOT to run uproot.**
Tutorial
========
See the `project homepage <https://github.com/scikit-hep/uproot>`__ for a `tutorial <https://github.com/scikit-hep/uproot#tutorial>`__.
Interactive tutorial
====================
Run `this tutorial <https://mybinder.org/v2/gh/scikit-hep/uproot/master?filepath=binder%2Ftutorial.ipynb>`__ on Binder.
Reference documentation
=======================
* `Opening files <http://uproot.readthedocs.io/en/latest/opening-files.html>`__
- `uproot.open <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-open>`__
- `uproot.xrootd <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-xrootd>`__
- `uproot.iterate <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-iterate>`__
* `ROOT I/O <http://uproot.readthedocs.io/en/latest/root-io.html>`__
- `uproot.rootio.ROOTDirectory <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootdirectory>`__
- `uproot.rootio.ROOTObject <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootobject>`__
- `uproot.rootio.ROOTStreamedObject <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootstreamedobject>`__
* `TTree Handling <http://uproot.readthedocs.io/en/latest/ttree-handling.html>`__
- `uproot.tree.TTreeMethods <http://uproot.readthedocs.io/en/latest/ttree-handling.html#uproot-tree-ttreemethods>`__
- `uproot.tree.TBranchMethods <http://uproot.readthedocs.io/en/latest/ttree-handling.html#uproot-tree-tbranchmethods>`__
* `Interpretation <http://uproot.readthedocs.io/en/latest/interpretation.html>`__
* `Caches <http://uproot.readthedocs.io/en/latest/caches.html>`__
* `Parallel I/O <http://uproot.readthedocs.io/en/latest/parallel-io.html>`__
:alt: uproot
:target: https://github.com/scikit-hep/uproot
.. inclusion-marker-1-5-do-not-remove
uproot (originally μproot, for "micro-Python ROOT") is a reader and a writer of the `ROOT file format <https://root.cern/>`__ 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.
Python does not necessarily mean slow. As long as the data blocks ("baskets") are large, this "array at a time" approach can even be faster than "event at a time" C++. Below, the rate of reading data into arrays with uproot is shown to be faster than C++ ROOT and root_numpy, as long as the baskets are tens of kilobytes or larger (for a variable number of muons per event in an ensemble of different physics samples).
.. raw:: html
<img src="https://raw.githubusercontent.com/scikit-hep/uproot/master/docs/root-none-muon.png" width="47%" align="left"><img src="https://raw.githubusercontent.com/scikit-hep/uproot/master/docs/rootnumpy-none-muon.png" width="47%" align="right"><br clear="all" />
uproot is not maintained by the ROOT project team, so post bug reports here as `GitHub issues <https://github.com/scikit-hep/uproot/issues>`__, not on a ROOT forum. Thanks!
.. inclusion-marker-2-do-not-remove
Installation
============
Install uproot like any other Python package:
.. code-block:: bash
pip install uproot
or similar (use ``sudo``, ``--user``, ``virtualenv``, or pip-in-conda if you wish).
Strict dependencies:
====================
- `Python <http://docs.python-guide.org/en/latest/starting/installation/>`__ (2.7+, 3.4+)
The following are installed automatically when you install uproot with pip:
- `Numpy <https://scipy.org/install.html>`__ (1.13.1+)
- `awkward-array <https://pypi-hypernode.com/project/awkward>`__ (0.7.0+) to manipulate data from non-flat TTrees, such as jagged arrays (`part of Scikit-HEP <https://github.com/scikit-hep/awkward-array>`__)
- `uproot-methods <https://pypi-hypernode.com/project/uproot-methods>`__ (0.3.0+) for histogram and physics object methods, such as TLorentzVector (`part of Scikit-HEP <https://github.com/scikit-hep/uproot-methods>`__)
- `cachetools <https://pypi-hypernode.com/project/cachetools>`__ for dict-like caches (replaces uproot 2's custom caches)
Optional dependencies:
======================
- `lz4 <https://pypi-hypernode.com/project/lz4>`__ to read lz4-compressed ROOT files (now ROOT's default compression method)
- `lzma <https://anaconda.org/conda-forge/backports.lzma>`__ to read lzma-compressed ROOT files in Python 2 (not needed for Python 3 or if your ROOT files aren't lzma-compressed)
- `futures <https://pypi-hypernode.com/pypi/futures>`__ for parallel processing in Python 2 (not needed for Python 3 or if you don't plan to use parallel processing)
- `XRootD <https://anaconda.org/nlesc/xrootd>`__ to access remote files; get version 4 or later for pyxrootd to be included in the package (unfortunately, you have to compile it manually with CMake)
**Reminder: you do not need C++ ROOT to run uproot.**
Tutorial
========
See the `project homepage <https://github.com/scikit-hep/uproot>`__ for a `tutorial <https://github.com/scikit-hep/uproot#tutorial>`__.
Interactive tutorial
====================
Run `this tutorial <https://mybinder.org/v2/gh/scikit-hep/uproot/master?filepath=binder%2Ftutorial.ipynb>`__ on Binder.
Reference documentation
=======================
* `Opening files <http://uproot.readthedocs.io/en/latest/opening-files.html>`__
- `uproot.open <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-open>`__
- `uproot.xrootd <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-xrootd>`__
- `uproot.iterate <http://uproot.readthedocs.io/en/latest/opening-files.html#uproot-iterate>`__
* `ROOT I/O <http://uproot.readthedocs.io/en/latest/root-io.html>`__
- `uproot.rootio.ROOTDirectory <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootdirectory>`__
- `uproot.rootio.ROOTObject <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootobject>`__
- `uproot.rootio.ROOTStreamedObject <http://uproot.readthedocs.io/en/latest/root-io.html#uproot-rootio-rootstreamedobject>`__
* `TTree Handling <http://uproot.readthedocs.io/en/latest/ttree-handling.html>`__
- `uproot.tree.TTreeMethods <http://uproot.readthedocs.io/en/latest/ttree-handling.html#uproot-tree-ttreemethods>`__
- `uproot.tree.TBranchMethods <http://uproot.readthedocs.io/en/latest/ttree-handling.html#uproot-tree-tbranchmethods>`__
* `Interpretation <http://uproot.readthedocs.io/en/latest/interpretation.html>`__
* `Caches <http://uproot.readthedocs.io/en/latest/caches.html>`__
* `Parallel I/O <http://uproot.readthedocs.io/en/latest/parallel-io.html>`__
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