Metadata-Version: 1.1
Name: svg.charts
Version: 3.1
Summary: Python SVG Charting Library
Home-page: https://bitbucket.org/jaraco/svg.charts
Author: Jason R. Coombs
Author-email: jaraco@jaraco.com
License: UNKNOWN
Description: ``svg.charts`` - Package for generating SVG Charts in Python
        ============================================================
        
        .. contents::
        
        `Documentation <https://pythonhosted.org/svg.charts>`_
        
        Status and License
        ------------------
        
        ``svg.charts`` is a pure-python library for generating charts and graphs
        in SVG, originally based on the SVG::Graph Ruby package by Sean E. Russel.
        
        ``svg.charts`` supercedes ``svg_charts`` 1.1 and 1.2.
        
        ``svg.charts`` is written by Jason R. Coombs.  It is licensed under an
        MIT-style permissive license.
        
        You can install it with easy_install or pip::
        
          easy_install svg.charts
          pip install svg.charts
        
        Or, check out the `mercurial repository source
        <https://bitbucket.org/jaraco/svg.charts>`_.
        
        Tests are continuously run by Travis-CI: |BuildStatus|_
        
        .. |BuildStatus| image:: https://secure.travis-ci.org/jaraco/svg.charts.png
        .. _BuildStatus: http://travis-ci.org/jaraco/svg.charts
        
        To run the tests, refer to the .travis.yml file for the steps run on the
        Travis-CI hosts.
        
        
        Acknowledgements
        ----------------
        
        ``svg.charts`` depends heavily on lxml and cssutils. Thanks to the
        contributors of those projects for stable, performant, standards-based
        packages.
        
        Sean E. Russel for creating the SVG::Graph Ruby package from which this
        Python port was originally derived.
        
        Leo Lapworth for creating the SVG::TT::Graph package which the Ruby
        port was based on.
        
        Stephen Morgan for creating the TT template and SVG.
        
        Getting Started
        ---------------
        
        ``svg.charts`` has some examples (taken directly from the reference implementation)
        in `tests/samples.py
        <https://bitbucket.org/jaraco/svg.charts/src/tip/tests/samples.py?at=default>`_.
        These examples show sample usage of the various chart types. They should provide a
        good starting point for learning the usage of the library.
        
        An example of using ``svg.charts`` in a `CherryPy
        <http://www.cherrypy.org/>`_ web app can be found in `jaraco.site.charts
        <https://bitbucket.org/jaraco/jaraco.site/src/tip/jaraco/site/charts.py>`_.
        If the site is working, you can see the `rendered output here
        <http://www.jaraco.com/charts/plot>`_.
        
        ``svg.charts`` also provides `API documentation
        <http://pythonhosted.org/svg.charts/>`_.
        
        Upgrade Notes
        -------------
        
        Upgrading from 1.x to 2.0
        
        I suggest removing SVG 1.0 from the python installation.  This involves removing the SVG directory (or svg_chart*) from site-packages.
        
        Change import statements to import from the new namespace, so::
        
            from SVG import Bar
            Bar.VerticalBar(...)
        
        becomes::
        
            from svg.charts.bar import VerticalBar
            VerticalBar(...)
        
        More To-Dos
        -----------
        
        -  Documentation! This package desperately needs some high-level,
           tutorial-style how-tos, and not just links to example code.
        -  Implement javascript-based animation (See JellyGraph for a
           Silverlight example of what simple animation can do for a
           charting library).
        
        Reporting Bugs and Getting Help
        -------------------------------
        
        This project is `hosted at BitBucket
        <https://bitbucket.org/jaraco/svg.charts>`_. Please use that site for
        reporting bugs and requesting help. Patches are also welcome.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
