regression residual plot bokeh

bokeh_residual_plot.py

def residual_plot(y_true, y_pred, **kwargs):

    line_end = np.max([df['O_target'].max(), df['prediction'].max()])

    p = figure(plot_width=900, plot_height=500, title="Residual Plot",
               x_axis_label='Actual', y_axis_label='Predicted', **kwargs )

    data = { 'Actual': y_true, 'Predicted': y_pred }

    p.circle(x='Actual', y='Predicted', source=data, fill_color='red', alpha=0.8, line_width=0.2, line_color='black')
    p.line(x=[-500,line_end], y=[-500,line_end], line_width=1, line_color='gray', line_alpha=0.5)

    for i in range(len(y_true)):
        p.line(x=[y_true[i],y_true[i]], y=[y_true[i],y_pred[i]], line_width=1, line_color='#6ca2cc')

    show(p)