Metadata-Version: 1.1
Name: root_numpy
Version: 2.0.1
Summary: ROOT TTree to numpy array converter
Home-page: https://github.com/rootpy/root_numpy
Author: Piti Ongmongkolkul
Author-email: piti118@gmail.com
License: UNKNOWN
Download-URL: http://pypi.python.org/packages/source/r/root_numpy/root_numpy-2.0.1.tar.gz
Description: .. image:: https://travis-ci.org/rootpy/root_numpy.png
           :target: https://travis-ci.org/rootpy/root_numpy
        
        root_numpy
        ----------
        
        Python Extension for converting root files to numpy
        `recarray <http://docs.scipy.org/doc/numpy/reference/generated/numpy.recarray.html>`_
        or `structure array <http://docs.scipy.org/doc/numpy/user/basics.rec.html>`_. This
        is very useful for using in interactive data exploration environment like
        `ipython <http://ipython.org/ipython-doc/dev/interactive/htmlnotebook.html>`_
        (especially notebook).
        
        Written in C++ with lots of pointer and memcpy magic and it doesn't call PyRoot so
        it's much faster especially if you are trying to read a large file in to memory
        (100MB+ or even GB's of Data).
        
        Currently only support basic types like Float_t Int_t Double_t Bool_t etc. and
        array of basic types both variable and fixed length. vector of basic type (int,
        float, double, char, long) is also supported.
        
        Tab completion for numpy.recarray column name (yourdata.<TAB> showing the column
        names so you don't have to remember it) is also available with this
        `numpy patch <https://github.com/piti118/numpy/commit/a996292238ab98dcf53f2d48476d637eab9f1a72>`_
        
        Requirements
        ------------
        
        * `ROOT <http://root.cern.ch/>`_ installed
        * `numpy <http://numpy.scipy.org/>`_ installed
        
        Tested with Root 5.32, numpy 1.6.1, Python 2.7.1 but it should work in most
        places.
        
        Installation
        ------------
        
        python setup.py install
        
        Documentation
        -------------
        
        See http://rootpy.github.com/root_numpy/
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Utilities
Classifier: Operating System :: POSIX :: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
