S06-Model-Selection.py 文件源码

def make_correlation_figure(correlation_values, title):
    """
    Creates a correlation function plot with confidence intervals for
    determining the ARIMA ordering

    :param correlation_values:
        The computed correlation function values
    :param title:
        Tile for the plot
    :return:
        A Bokeh figure populated with traces for the correlation function
        display
    """

    count = len(correlation_values)

    figure = Figure(title=title)
    figure.line(x=[0, count], y=-1.96/np.sqrt(len(temperatures)), color='black')
    figure.line(x=[0, count], y=1.96/np.sqrt(len(temperatures)), color='black')
    figure.line(x=list(range(count)), y=correlation_values)
    figure.scatter(x=list(range(count)), y=correlation_values, size=6)

    return figure