Metadata-Version: 1.1
Name: holoviews
Version: 1.1.0
Summary: Composable, declarative data structures for building complex visualizations easily.
Home-page: http://ioam.github.com/holoviews/
Author: IOAM
Author-email: developers@topographica.org
License: BSD
Description: |BuildStatus|_ |holoviewsDocs|_ |PyPI|_ |License|_ |PyVersions|_ |Coveralls|_ |Downloads|_
        
        holoviews
        =========
        
        **Composable, declarative data structures for building even complex
        visualizations easily.**
        
        HoloViews requires `Param <http://ioam.github.com/param/>`_ and
        `Numpy <http://www.numpy.org/>`_ and is designed to work 
        together with `Matplotlib <http://matplotlib.org/>`_ and 
        `IPython Notebook <http://ipython.org/notebook/>`_.  
        
        Clone holoviews directly from GitHub with::
        
           git clone git://github.com/ioam/holoviews.git
           
        Please visit `our website <http://ioam.github.com/holoviews/>`_ for
        official releases, installation instructions, documentation, and examples.
        
        For general discussion, we have a mailing list on 
        `Google Groups <https://groups.google.com/forum/#!forum/holoviews>`_. In addition
        we have a `wiki page <https://github.com/ioam/holoviews/wiki/Experimental-Features>`_
        describing current work-in-progress and experimental features. If you find any bugs or 
        have any feature suggestions please file a GitHub Issue or submit a pull request.
        
        Features
        --------
        
        **Overview**
        
        * Lets you build data structures that both contain and visualize your data.
        * Includes a rich `library of composable elements <https://ioam.github.io/holoviews/Tutorials/Elements>`_ that can be overlaid, nested and positioned with ease.
        * Supports `rapid data exploration <https://ioam.github.io/holoviews/Tutorials/Exploring_Data>`_ that naturally develops into a `fully reproducible workflow <Tutorials/Exporting>`_.
        * You can create complex animated or interactive visualizations with minimal code.
        * Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <https://ioam.github.io/holoviews/Tutorials/Transforming_Data>`_.
        * Every parameter of every object includes easy-to-access documentation.
        * All features `available in vanilla Python 2 or 3 <https://ioam.github.io/holoviews/Tutorials(Options)>`_, with minimal dependencies.
        
        **Support for maintainable, reproducible research**
          
        * Supports a truly reproducible workflow by minimizing the code needed for analysis and visualization.
        * Already used in a variety of research projects, from conception to final publication.
        * All HoloViews objects can be pickled and unpickled.
        * Provides comparison utilities for testing, so you know when your results have changed and why.
        * Core data structures only depend on the numpy and param libraries.
        * Provides `export and archival facilities <https://ioam.github.io/holoviews/Tutorials/Exporting>`_ for keeping track of your work throughout the lifetime of a project.
        
        **Analysis and data access features**
        
        * Allows you to annotate your data with dimensions, units, labels and data ranges.
        * Easily `slice and access <https://ioam.github.io/holoviews/Tutorials/Transforming_Data>`_ regions of your data, no matter how high the dimensionality.
        * Apply any suitable function to collapse your data or reduce dimensionality.
        * Helpful textual representation to inform you how every level of your data may be accessed.
        * Includes small library of common operations for any scientific or engineering data.
        * Highly extensible: add new operations to easily apply the data transformations you need.
        
        **Visualization features**
        
        * Useful default settings make it easy to inspect data, with minimal code.
        * Powerful normalization system to make understanding your data across plots easy.
        * Build `complex animations or interactive visualizations in seconds  <https://ioam.github.io/holoviews/Tutorials/Exploring_Data>`_ instead of hours or days.
        * Refine the visualization of your data interactively and incrementally.
        * Separation of concerns: all visualization settings are kept separate from your data objects.
        * Support for interactive tooltips/panning/zooming, via the optional mpld3 backend.
        
        **IPython Notebook support**
        
        * Support for both IPython 2 and 3.
        * Automatic tab-completion everywhere.
        * Exportable sliders and scrubber widgets.
        * Automatic display of animated formats in the notebook or for export, including gif, webm, and mp4.
        * Useful IPython magics for configuring global display options and for customizing objects.
        * `Automatic archival and export of notebooks <https://ioam.github.io/holoviews/Tutorials/Exporting>`_, including extracting figures as SVG, generating a static HTML copy of your results for reference, and storing your optional metadata like version control information.
        
        **Integration with third-party libraries**  
        
        * Flexible interface to both the `pandas and Seaborn libraries <https://ioam.github.io/holoviews/Tutorials/Pandas_Seaborn>`_
        * Immediately visualize pandas data as any HoloViews object.
        * Seamlessly combine and animate your Seaborn plots in HoloViews rich, compositional data-structures.
           
        
        .. |PyPI| image:: https://pypip.in/version/holoviews/badge.svg?style=flat
        .. _PyPI: https://pypi.python.org/pypi/holoviews
        
        .. |PyVersions| image:: https://pypip.in/py_versions/holoviews/badge.svg?style=flat
        .. _PyVersions: https://pypi.python.org/pypi/holoviews
        
        .. |License| image:: https://pypip.in/license/holoviews/badge.svg?style=flat
        .. _License: https://github.com/ioam/holoviews/blob/master/LICENSE.txt
        
        .. |Coveralls| image:: https://img.shields.io/coveralls/ioam/holoviews.svg
        .. _Coveralls: https://coveralls.io/r/ioam/holoviews
        
        .. |BuildStatus| image:: https://travis-ci.org/ioam/holoviews.svg?branch=master
        .. _BuildStatus: https://travis-ci.org/ioam/holoviews
        
        .. |holoviewsDocs| image:: http://doozy.inf.ed.ac.uk:8010/png?builder=holoviews_docs
        .. _holoviewsDocs: http://doozy.inf.ed.ac.uk:8010/waterfall
        
        .. |holoviewsDocs| image:: http://doozy.inf.ed.ac.uk:8010/png?builder=holoviews_docs
        .. _holoviewsDocs: http://doozy.inf.ed.ac.uk:8010/waterfall
        
        .. |Downloads| image:: https://pypip.in/download/holoviews/badge.svg?style=flat
        .. _Downloads: https://pypi.python.org/pypi/holoviews
        
Platform: Windows
Platform: Mac OS X
Platform: Linux
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
