def _create_window(self):
pd = ArrayPlotData(x=random(100), y=random(100))
// Create some line plots of some of the data
plot = Plot(pd)
// Create a scatter plot and get a reference to it (separate from the
// Plot object) because we"ll need it for the regression tool below.
scatterplot = plot.plot(("x", "y"), color="blue", type="scatter")[0]
// Tweak some of the plot properties
plot.padding = 50
// Attach some tools to the plot
plot.tools.append(PanTool(plot, drag_button="right"))
plot.overlays.append(ZoomTool(plot))
// Add the regression tool and overlay. These need to be added
// directly to the scatterplot instance (and not the Plot instance).
regression = RegressionLasso(scatterplot,
selection_datasource=scatterplot.index)
scatterplot.tools.append(regression)
scatterplot.overlays.append(RegressionOverlay(scatterplot, lasso_selection=regression))
After Change
def _create_window(self):
// Return a window containing our plots
return Window(self, -1, component=_create_plot_component())
if __name__ == "__main__":
demo_main(PlotFrame, size=size, title=title)
