如何在 Pandas 数据框中减去两个日期时间值
How can I subtract two date time values in a Pandas Dataframe
我正在做一个项目,我需要减去两个日期时间值以获得天数。数据示例如下所示:
ALARM_DATE CONT_DATE \
0 2020/06/18 00:00:00+00 2020/06/23 00:00:00+00
1 2020/06/01 00:00:00+00 2020/06/04 00:00:00+00
2 2020/08/10 00:00:00+00 2020/03/01 00:00:00+00
3 2020/03/31 00:00:00+00 2020/04/01 00:00:00+00
4 2020/04/14 00:00:00+00 2020/04/19 00:00:00+00
... ... ...
我试过简单地减去这些值,但显然那没有用。有人可以帮忙吗?
首先将您的列转换为实际日期:
df['ALARM_DATE'] = pd.to_datetime(df['ALARM_DATE'])
df['CONT_DATE'] = pd.to_datetime(df['CONT_DATE'])
或者:
df[['ALARM_DATE', 'CONT_DATE']] = df[['ALARM_DATE', 'CONT_DATE']].apply(pd.to_datetime)
输出:
>>> df['CONT_DATE'] - df['ALARM_DATE']
0 5 days
1 3 days
2 -162 days
3 1 days
4 5 days
dtype: timedelta64[ns]
我正在做一个项目,我需要减去两个日期时间值以获得天数。数据示例如下所示:
ALARM_DATE CONT_DATE \
0 2020/06/18 00:00:00+00 2020/06/23 00:00:00+00
1 2020/06/01 00:00:00+00 2020/06/04 00:00:00+00
2 2020/08/10 00:00:00+00 2020/03/01 00:00:00+00
3 2020/03/31 00:00:00+00 2020/04/01 00:00:00+00
4 2020/04/14 00:00:00+00 2020/04/19 00:00:00+00
... ... ...
我试过简单地减去这些值,但显然那没有用。有人可以帮忙吗?
首先将您的列转换为实际日期:
df['ALARM_DATE'] = pd.to_datetime(df['ALARM_DATE'])
df['CONT_DATE'] = pd.to_datetime(df['CONT_DATE'])
或者:
df[['ALARM_DATE', 'CONT_DATE']] = df[['ALARM_DATE', 'CONT_DATE']].apply(pd.to_datetime)
输出:
>>> df['CONT_DATE'] - df['ALARM_DATE']
0 5 days
1 3 days
2 -162 days
3 1 days
4 5 days
dtype: timedelta64[ns]