{
    "info": {
        "author": "Alessandro Molina",
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        "description": "About tgext.matplotrender\r\n-------------------------\r\n\r\n.. image:: https://travis-ci.org/amol-/tgext.matplotrender.png\r\n    :target: https://travis-ci.org/amol-/tgext.matplotrender\r\n\r\n.. image:: https://coveralls.io/repos/amol-/tgext.matplotrender/badge.png\r\n    :target: https://coveralls.io/r/amol-/tgext.matplotrender\r\n\r\n.. image:: https://img.shields.io/:license-mit-blue.svg?style=flat-square\r\n    :target: https://pypi.python.org/pypi/tgext.matplotrender\r\n\r\ntgext.matplotrender is a TurboGears2 extension that provides a Rendering Engine\r\nfor MatplotLib Figures.\r\n\r\nInstalling\r\n----------\r\n\r\ntgext.matplotrender can be installed from pypi::\r\n\r\n    pip install tgext.matplotrender\r\n\r\nshould just work for most of the users.\r\n\r\nEnabling\r\n--------\r\n\r\nTo enable tgext.matplotrender add the ``matplotfig`` renderer to your\r\nconfiguration:\r\n\r\n.. code-block:: python\r\n\r\n    base_config.renderers.append('matplotfig')\r\n\r\nand plug the rendering engine inside your ``config/app_cfg.py``:\r\n\r\n.. code-block:: python\r\n\r\n    import tgext.matplotrender\r\n    tgext.matplotrender.plugme(base_config)\r\n\r\nUsage\r\n-----\r\n\r\nUsing tgext.matplotrender is as simple as exposing an action with\r\nthe ``matplotfig`` template and returning the figure itself inside\r\nthe ``fig`` key of action returned dictionary.\r\n\r\nGiven the following figure:\r\n\r\n.. code-block:: python\r\n\r\n    def _make_fig():\r\n        fig = matplotlib.figure.Figure(figsize=(9, 6))\r\n        fig.Name = \"Sinewave\"\r\n        ax = fig.add_subplot(111)\r\n        ax.set_xlabel(\"angle\")\r\n        ax.set_ylabel(\"amplitude\")\r\n        t = numpy.arange(0.0, 2.0, 0.01)\r\n        s1 = numpy.sin(2 * numpy.pi * t)\r\n        ax.plot(t, s1, color=\"k\")\r\n        return fig\r\n\r\nIt can be exposed through TurboGears actions as:\r\n\r\n.. code-block:: python\r\n\r\n    class RootController(TGController):\r\n        @expose('matplotfig')\r\n        def figure(self, *args, **kwargs):\r\n            return dict(fig=_make_fig())\r\n\r\n        @expose('matplotfig', render_params=dict(dpi=36))\r\n        def lowres(self, *args, **kwargs):\r\n            return dict(fig=_make_fig())\r\n\r\n        @expose('matplotfig')\r\n        def customres(self, *args, **kwargs):\r\n            options = {}\r\n            try:\r\n                options['dpi'] = int(kwargs['dpi'])\r\n            except:\r\n                pass\r\n            return dict(fig=_make_fig(), **options)\r\n\r\nAny other value provided in the dictionary will be used as\r\na ``print_figure`` argument in ``matplotlib``",
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