利用pandas计算DataFrame两列日期相差秒数

import pandas as pd

#先利用to_datetime转换为时间格式,tm列的数据形式为'yyyy-MM-dd HH:mm:ss'
df['tm_1'] = pd.to_datetime(df['tm_1'])
df['tm_2'] = pd.to_datetime(df['tm_2'])

#利用".dt.seconds"转换为秒,除以相对于的间隔数得到分钟、小时等
df['diff_time'] = (df['tm_1'] - df['tm_2']).dt.seconds/60

#利用round函数可进行四舍五入
df['diff_time'] = round(df['diff_time'])

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转载自blog.csdn.net/longwei92/article/details/82899292