def plot_prob_forecasts()

in src/entrypoint/gluonts_example/evaluator.py [0:0]

• 7 lines of code
• 1 McCabe index (conditional complexity)

    def plot_prob_forecasts(ax, time_series, forecast, intervals, past_length=8):
        plot_length = past_length + forecast.prediction_length
        time_series[0][-plot_length:].plot(ax=ax, label="actual")
        MyEvaluator.plot2(forecast, prediction_intervals=intervals, show_mean=False)
        plt.grid(which="both")
        plt.legend(loc="upper left")
        plt.gca().set_title(str(forecast.item_id).replace("|", "\n"))