How to use the autovizwidget.autovizwidget.plotlygraphs.graphbase.GraphBase._get_x_y_values function in autovizwidget

To help you get started, we’ve selected a few autovizwidget examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / piegraph.py View on Github external
def _get_x_values_labels(df, encoding):
        if encoding.y is None:
            series = df.groupby([encoding.x]).size()
            values = series.values.tolist()
            labels = series.index.tolist()
        else:
            labels, values = GraphBase._get_x_y_values(df, encoding)
        return values, labels
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / linegraph.py View on Github external
def _get_data(self, df, encoding):
        x_values, y_values = GraphBase._get_x_y_values(df, encoding)
        return [Scatter(x=x_values, y=y_values)]
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / bargraph.py View on Github external
def _get_data(self, df, encoding):
        x_values, y_values = GraphBase._get_x_y_values(df, encoding)
        return [Bar(x=x_values, y=y_values)]
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / areagraph.py View on Github external
def _get_data(self, df, encoding):
        x_values, y_values = GraphBase._get_x_y_values(df, encoding)
        return [Scatter(x=x_values, y=y_values, fill="tonexty")]
github jupyter-incubator / sparkmagic / autovizwidget / autovizwidget / plotlygraphs / scattergraph.py View on Github external
def _get_data(self, df, encoding):
        x_values, y_values = GraphBase._get_x_y_values(df, encoding)
        return [Scatter(x=x_values, y=y_values, mode='markers')]

autovizwidget

AutoVizWidget: An Auto-Visualization library for pandas dataframes

BSD-3-Clause
Latest version published 1 year ago

Package Health Score

65 / 100
Full package analysis