时间序列预测

def solve():
    import matplotlib
    matplotlib.use(____)
    import matplotlib.pyplot as plt
    import numpy as np
    import warnings
    warnings.filterwarnings(____)
    from statsmodels.tsa.arima.model import ARIMA
    np.random.seed(____)
    y = np.cumsum(np.random.randn(____))
    model = ARIMA(y, order=(____, ____, ____)).fit()
    forecast = model.forecast(____)
    plt.figure(figsize=(____, ____))
    plt.plot(____)
    plt.plot(range(len(____), len(____)+____), forecast, '____', label='____')
    plt.legend()
    plt.title(____)
    plt.tight_layout()
    plt.show()
    print(len(____))