1.按照间隔生成时间戳,并保存为csv文件

#####  按照间隔生成时间戳,并保存为csv文件
import pandas as pd
from datetime import datetime, time, timedelta
times = []
ts = datetime(2023, 6, 17, 9, 10, 0)
while ts <= datetime(2023, 6, 17, 9, 26, 40):# times.append(time(ts.hour, ts.minute, ts.second))times.append(str(ts))ts += timedelta(seconds=1)
name = ['date']
test = pd.DataFrame(columns=name, data=times)
test.to_csv('./date.csv')

2.读取csv文件的最后一列，并将其绘制为图像

# 绘制A
import numpy as np
import pandas as pd
import matplotlib.pyplot as pltdata = pd.read_csv('train_Iter0.csv', header=None)
data = np.array(data)
data = data[:,-1]
print(data.size)
data = data.reshape((59,99))
plt.imshow(data)
plt.colorbar()
plt.show()