Metadata-Version: 1.1
Name: datarray
Version: 0.0.5
Summary: NumPy arrays with named axes and named indices.
Home-page: http://github.com/fperez/datarray
Author: Numpy Developers
Author-email: numpy-discussion@scipy.org
License: Simplified BSD
Download-URL: http://github.com/fperez/datarray/archives/master
Description: 
        ========================================
         Datarray: Numpy arrays with named axes
        ========================================
        
        Scientists, engineers, mathematicians and statisticians don't just work with
        matrices; they often work with structured data, just like you'd find in a
        table. However, functionality for this is missing from Numpy, and there are
        efforts to create something to fill the void.  This is one of those efforts.
        
        .. warning::
        
           This code is currently experimental, and its API *will* change!  It is meant
           to be a place for the community to understand and develop the right
           semantics and have a prototype implementation that will ultimately
           (hopefully) be folded back into Numpy.
        
        Datarray provides a subclass of Numpy ndarrays that support:
        
        - individual dimensions (axes) being labeled with meaningful descriptions
        - labeled 'ticks' along each axis
        - indexing and slicing by named axis
        - indexing on any axis with the tick labels instead of only integers
        - reduction operations (like .sum, .mean, etc) support named axis arguments
          instead of only integer indices.
        
        Prior Art
        =========
        
        At present, there is no accepted standard solution to dealing with tabular data
        such as this. However, based on the following list of ad-hoc and proposal-level
        implementations of something such as this, there is *definitely* a demand for
        it.  For examples, in no particular order:
        
        * [Tabular](http://bitbucket.org/elaine/tabular/src) implements a
          spreadsheet-inspired datatype, with rows/columns, csv/etc. IO, and fancy
          tabular operations.
        
        * [scikits.statsmodels](http://scikits.appspot.com/statsmodels) sounded as
          though it had some features we'd like to eventually see implemented on top of
          something such as datarray, and [Skipper](http://scipystats.blogspot.com/)
          seemed pretty interested in something like this himself.
        
        * [scikits.timeseries](http://scikits.appspot.com/timeseries) also has a
          time-series-specific object that's somewhat reminiscent of labeled arrays.
        
        * [pandas](http://pandas.sourceforge.net/) is based around a number of
          DataFrame-esque datatypes.
        
        * [pydataframe](http://code.google.com/p/pydataframe/) is supposed to be a
          clone of R's data.frame.
        
        * [larry](http://github.com/kwgoodman/la), or "labeled array," often comes up
          in discussions alongside pandas.
        
        * [divisi](http://github.com/commonsense/divisi2) includes labeled sparse and
          dense arrays.
        
        Project Goals
        =============
        
        1. Get something akin to this in the numpy core.
        
        2. Stick to basic functionality such that projects like scikits.statsmodels and
        pandas can use it as a base datatype.
        
        3. Make an interface that allows for simple, pretty manipulation that doesn't
        introduce confusion.
        
        4. Oh, and make sure that the base numpy array is still accessible.
        
          
        Code
        ====
        
        You can find our sources and single-click downloads:
        
        * `Main repository`_ on Github.
        * Documentation_ for all releases and current development tree.
        * Download as a tar/zip file the `current trunk`_.
        * Downloads of all `available releases`_.
        
        .. _main repository: http://github.com/fperez/datarray
        .. _Documentation: http://fperez.github.com/datarray-doc
        .. _current trunk: http://github.com/fperez/datarray/archives/master
        .. _available releases: http://github.com/fperez/datarray/downloads
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires: numpy
