How to use the autovizwidget.autovizwidget.plotlygraphs.graphrenderer.GraphRenderer function in autovizwidget

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github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / graphrenderer.py View on Github external
def render(df, encoding, output):
        with output:
            init_notebook_mode()

        GraphRenderer._get_graph(encoding.chart_type).render(df, encoding, output)
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / graphrenderer.py View on Github external
def display_controls(chart_type):
        display_x = GraphRenderer.display_x(chart_type)
        display_y = GraphRenderer.display_y(chart_type)
        return display_x or display_y
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / graphrenderer.py View on Github external
def display_controls(chart_type):
        display_x = GraphRenderer.display_x(chart_type)
        display_y = GraphRenderer.display_y(chart_type)
        return display_x or display_y
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / widget / autovizwidget.py View on Github external
def __init__(self, df, encoding, renderer=None, ipywidget_factory=None, encoding_widget=None, ipython_display=None,
                 nested_widget_mode=False, spark_events=None, testing=False, **kwargs):
        assert encoding is not None
        assert df is not None
        assert type(df) is pd.DataFrame

        kwargs['orientation'] = 'vertical'

        if not testing:
            super(AutoVizWidget, self).__init__((), **kwargs)

        self.df = self._convert_to_displayable_dataframe(df)

        if renderer is None:
            renderer = GraphRenderer()
        self.renderer = renderer

        if ipywidget_factory is None:
            ipywidget_factory = IpyWidgetFactory()
        self.ipywidget_factory = ipywidget_factory

        if encoding_widget is None:
            encoding_widget = EncodingWidget(self.df, encoding, self.on_render_viz)
        self.encoding_widget = encoding_widget

        if ipython_display is None:
            ipython_display = IpythonDisplay()
        self.ipython_display = ipython_display

        self.encoding = encoding

autovizwidget

AutoVizWidget: An Auto-Visualization library for pandas dataframes

BSD-3-Clause
Latest version published 1 year ago

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65 / 100
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