Metadata-Version: 1.1
Name: la
Version: 0.2.0
Summary: Label the rows, columns, any dimension, of your NumPy arrays.
Home-page: http://larry.sourceforge.net
Author: Keith Goodman
Author-email: larry-discuss@lists.launchpad.net
License: Simplified BSD
Description: The main class of the la package is a labeled array, larry. A larry consists
        of a data array and a label list. The data array is stored as a NumPy array
        and the label list as a list of lists.
        
        Alignment by label is automatic when you add (or subtract, multiply, divide)
        two larrys.
        
        larry has built-in methods such as movingsum, ranking, merge, shuffle,
        zscore, demean, lag as well as typical Numpy methods like sum, max, std,
        sign, clip. NaNs are treated as missing data.
        
        You can archive larrys in HDF5 format using save and load or using a
        dictionary-like interface.
        
        larry adds the convenience of labels, provides many built-in methods, and
        let's you use many of your existing NumPy array functions.
        
        Note: There's nothing to compile; la is pure Python.
        
        docs  http://larry.sourceforge.net
        code  https://code.launchpad.net/~kwgoodman/larry/trunk
        mail  http://groups.google.ca/group/pystatsmodels
        
        Development mailing list:
        mail: larry-discuss@lists.launchpad.net
        archive: http://lists.launchpad.net/larry-discuss
        
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Platform: Windows
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Simplified BSD
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Requires: numpy
