深度学习时间序列预测：LSTM算法构建时间序列单变量模型预测空气质量（PM2.5）+代码实战

# 导入需要的包和函数；

from __future__ import print_functionimport osimport sysimport pandas as pdimport numpy as np%matplotlib inlinefrom matplotlib import pyplot as pltimport seaborn as snsimport datetime

# 数据加载

# set current working directory# os.chdir(D:/Practical Time Series)#set current working directoryos.chdir(E:\\time series\\Practical-Time-Series-Analysis-code)#Read the dataset into a pandas.DataFrame# df = pd.read_csv(datasets/PRSA_data_.1.1-.12.31.csv)#Read the dataset into a pandas.DataFramedf = pd.read_csv(DataFiles\\PRSA_data_.1.1-.12.31.csv)print(Shape of the dataframe:, df.shape)#Lets see th