Metadata-Version: 1.0
Name: rootpy
Version: 0.6
Summary: The way PyROOT should be, and more!
Home-page: http://ndawe.github.com/rootpy
Author: Noel Dawe
Author-email: noel.dawe@cern.ch
License: GPLv3
Download-URL: https://github.com/downloads/ndawe/rootpy/rootpy-0.6.tar.gz
Description: .. -*- mode: rst -*-
        
        About
        =====
        
        rootpy aims to provide a more feature-rich and pythonic interface
        with the `ROOT <http://root.cern.ch/>`_ libraries on top of
        the existing `PyROOT <http://root.cern.ch/drupal/content/pyroot>`_ interface.
        
        More specifically, rootpy provides:
        
        * an interface between ROOT and `matplotlib <http://matplotlib.sourceforge.net/>`_.
          Don't like the way your plots look in ROOT? Simply use rootpy to
          plot your ROOT histograms or graphs with matplotlib instead
        
        * easier manipulation of histograms, graphs, 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
        
        * the ability to convert ROOT TFiles containing TTrees into
          `HDF5 <http://www.hdfgroup.org/HDF5/>`_ format with `PyTables <http://www.pytables.org/>`_
        
        * a framework for parallelizing processes that run over many TTrees
        
        * ``roosh``, a Bash-like shell environment for the ROOT TFile
        
        * a collection of useful command line scripts: ``root-ls``, ``root-cp``, ``root-tree-ls``, and others.
        
        
        Requirements
        ============
        
        At least Python version 2.6 and
        `ROOT <http://root.cern.ch/>`_ with `PyROOT <http://root.cern.ch/drupal/content/pyroot>`_ enabled.
        `matplotlib <http://matplotlib.sourceforge.net/>`_, `numpy <http://numpy.scipy.org/>`_,
        `PyTables <http://www.pytables.org/>`_, and `PyYAML <http://pyyaml.org/>`_ are optional.
        
        
        Install
        =======
        
        The easiest way to install rootpy is with ``pip``.
        To install for all users::
        
            sudo pip install rootpy
        
        To install in your home directory::
        
            pip install --user rootpy
        
        If you have obtained a copy of rootpy yourself use the ``setup.py``
        script to install. To install for all users::
        
            sudo python setup.py install
        
        To install in your home directory::
        
            python setup.py install --user
        
        To install the optional requirements
        (first download a source distribution if you haven't already)::
        
            pip install -U -r optional-requirements.txt
        
        
        Getting the latest source
        =========================
        
        Clone the code from github.com with git::
        
            git clone git://github.com/ndawe/rootpy.git
        
        or checkout with svn::
        
            svn checkout http://svn.github.com/ndawe/rootpy
        
        
        Examples
        ========
        
        see examples/*
        
        
        Developers Wanted
        =================
        
        Please contact me (Noel dot Dawe AT cern dot ch) if you have ideas or contributions.
        And of course feel free to fork rootpy at GitHub.com and later submit a pull request.
        
        Currently, rootpy needs attention in these areas:
        
        * Documentation
        * Tutorials
        * A website displaying the above
        * Unit testing
        * Brenchmarking performance (i.e. Tree read/write)
        * Finishing the server/worker code for distributed computing across multiple nodes
        * Creation of a TBrowser alternative using PyGTK
        * Creation of a framework for managing datasets (using SQLite as a back-end? with revision control?)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Utilities
Classifier: Operating System :: POSIX :: Linux
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
