rootpy 0.7.0

About

rootpy provides a more feature-rich and pythonic interface with the ROOT libraries on top of the existing PyROOT bindings.

More specifically, rootpy provides:

• easier manipulation of trees, histograms, graphs, cuts, and TVector/TLorentzVectors. rootpy provides classes that inherit from these ROOT classes and implement the Python arithmetic operators.

• an easy way to create and read ROOT TTrees and a mechanism for defining objects and collections of objects whose attributes are TTree branches. You may also decorate TTree objects with additional methods and attributes. See examples/tree.

• easy navigation through TFiles. rootpy wraps TFile and implements the natural naming convention so that objects may be retrieved with myFile.someDirectory.treeName, for example.

• an interface between ROOT and matplotlib. Don’t like the way your plots look in ROOT? Simply use rootpy to plot your ROOT histograms or graphs with matplotlib instead.

• conversion of ROOT TFiles containing TTrees into HDF5 format with PyTables.

• conversion of TTrees into NumPy ndarrays and recarrays. Now take advantage of the many statistical and numerical packages that Python offers (NumPy, SciPy, StatsModels, use scikit-learn for machine learning instead of TMVA).

• efficient filling of ROOT histograms from NumPy ndarrays.

• a framework for parallelizing processes that run over many TTrees.

• roosh, a Bash-like shell environment for the ROOT TFile.

Requirements

• Python 2.6 or 2.7 (Python 3 is currently not supported, but see this issue for progress)

• ROOT 5.28+ with PyROOT enabled

The following dependencies are optional:

• NumPy for speed

• matplotlib for plotting

• PyTables for HDF5 IO in rootpy.root2tables

• readline and termcolor for roosh

rootpy is developed and tested on Linux and Mac.

Getting the Latest Source

Clone the repository with git:

git clone git://github.com/rootpy/rootpy.git

or checkout with svn:

svn checkout http://svn.github.com/rootpy/rootpy

Manual Installation

If you have obtained a copy of rootpy yourself use the setup.py script to install.

To install in your home directory:

python setup.py install --user

To install system-wide (requires root privileges):

sudo python setup.py install

To install optional requirements (matplotlib, NumPy, etc.):

pip install -U -r requirements/[roosh|array|...].txt

Automatic Installation

To install a released version of rootpy use pip.

To install in your home directory:

pip install --user rootpy

To install system-wide (requires root privileges):

sudo pip install rootpy

To install optional requirements (matplotlib, NumPy, etc.):

pip install --user rootpy[array,matplotlib,...]

This requires pip version 1.1 or later.

Post-Installation

If you installed rootpy into your home directory with the –user option above, add ${HOME}/.local/bin to your ${PATH} if it is not there already (put this in your .bashrc):

export PATH=${HOME}/.local/bin${PATH:+:$PATH}

Development

Please post on the rootpy-dev@googlegroups.com list if you have ideas or contributions. Feel free to fork rootpy on GitHub and later submit a pull request.

IRC Channel

See #rootpy on freenode.

IRC is banned at CERN since it reveals your hostname to people in the chatroom, making you interesting to attackers. But you can safely access it through this web link:

http://webchat.freenode.net/?randomnick=1&channels=rootpy&prompt=1

Have Questions or Found a Bug?

Post your questions on stackoverflow.com and use the tag rootpy (this tag does not exist yet, but if you have a reputation of at least 1500 then please create it).

Think you found a bug? Open a new issue here: github.com/rootpy/rootpy/issues.

Also feel free to post questions or follow discussion on the rootpy-users or rootpy-dev Google groups.