Metadata-Version: 1.1
Name: root_numpy
Version: 3.0.0
Summary: An interface between ROOT and NumPy
Home-page: https://github.com/rootpy/root_numpy
Author: the rootpy developers
Author-email: rootpy-dev@googlegroups.com
License: UNKNOWN
Download-URL: http://pypi.python.org/packages/source/r/root_numpy/root_numpy-3.0.0.tar.gz
Description: .. image:: https://travis-ci.org/rootpy/root_numpy.png
           :target: https://travis-ci.org/rootpy/root_numpy
        
        root_numpy
        ----------
        
        root_numpy is a Python extension for converting
        `ROOT TTrees <http://root.cern.ch/root/html/TTree.html>`_ into NumPy
        `recarrays <http://docs.scipy.org/doc/numpy/reference/generated/numpy.recarray.html>`_
        or `structured arrays <http://docs.scipy.org/doc/numpy/user/basics.rec.html>`_.
        With the core internals written in C++, root_numpy can efficiently handle large
        amounts of data (limited only by the available memory).
        Now that your ROOT data is in NumPy form, you can make use of the many powerful
        scientific Python packages or perform quick exploratory data analysis in
        interactive environments like `IPython <http://ipython.org/>`_ (especially
        IPython's popular `notebook <http://ipython.org/ipython-doc/dev/interactive/htmlnotebook.html>`_
        feature).
        
        root_numpy currently supports basic types like Bool_t, Int_t, Float_t,
        Double_t, etc. and arrays of basic types (both variable and fixed-length).
        Vectors of basic types are also supported.
        
        Tab completion for numpy.recarray column names (yourdata.<TAB>)
        is also available with this `numpy extension <https://github.com/piti118/inumpy>`_.
        
        The `rootpy <http://rootpy.org>`_ package also provides a script that uses
        root_numpy and `PyTables <http://www.pytables.org>`_ to convert all TTrees
        in a ROOT file into the `HDF5 <http://www.hdfgroup.org/HDF5/>`_ format.
        
        Requirements
        ------------
        
        * `ROOT <http://root.cern.ch/>`_
        * `NumPy <http://numpy.scipy.org/>`_
        
        root_numpy is 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
