计算机毕设：时间序lstm+ARIMA 完整代码数据可直接运行

 视频参考：

时间序列上证指数价格预测lstm+ARIMA_哔哩哔哩_bilibili

效果展示：

 完整代码数据：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pandas.plotting import lag_plot
# from pandas import datetime

from statsmodels.tsa.arima.model import ARIMA
from sklearn.metrics import mean_squared_error, mean_absolute_error
# pip install statsmodels -i https://pypi.tuna.tsinghua.edu.cn/simple
import os
plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.r