predictor.py 文件源码

def plot(df):
    rollingMean = pandas.rolling_mean(df['Close Price'], window=100)
    rollingStdv = pandas.rolling_std(df['Close Price'], window=100)
    plotter.plot(rollingMean)
    # plotting bollinger bands
    plotter.plot(rollingMean + rollingStdv * 2)
    plotter.plot(rollingMean - rollingStdv * 2)
    # df1 = df[['Date','Close']]
    plotter.plot(df)
    plotter.show()