Metadata-Version: 1.0
Name: root_numpy
Version: 2.0.3
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-2.0.3.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>`_
        and can efficiently handle large amounts of data (limited only by the
        available memory) as the core internals are written in C++.
        With your ROOT data in NumPy form you may now make use of the many powerful
        scientific Python packages or perform quick exploratory data analysis in
        interactive environments like
        `IPython <http://ipython.org/ipython-doc/dev/interactive/htmlnotebook.html>`_
        (especially IPython's popular notebook 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 patch <https://github.com/piti118/numpy/commit/a996292238ab98dcf53f2d48476d637eab9f1a72>`_
        
        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
