[英]Pandas: Selecting rows by time
I have a dataframe with the following structure: 我有一个具有以下结构的数据框:
Date | Hour | Duration
2014-05-12 | 20:05:20 | 2.20
2014-05-12 | 20:06:20 | 4.20
2014-05-12 | 22:05:22 | 3.10
2014-05-12 | 08:05:20 | 7.10
How can I create another dataframe that contains only rows where the values in the time column are between 20:00:00 and 6:59:59? 如何创建另一个仅包含时间列中的值在20:00:00和6:59:59之间的行的数据框?
We can using between
我们可以
between
m=pd.to_timedelta(df.Hour).between('06:59:59','20:00:00')
df1=df[~m].copy()
There's between_time
if you're willing to make a DatetimeIndex
. 有
between_time
如果你愿意做一个DatetimeIndex
。 Not too different from between
, but it deals with the 24 hour clock appropriately. 两者
between
没有太大差异,但是它可以适当地处理24小时制。
df.index = pd.to_datetime(df.Date + ' ' + df.Hour)
df.between_time('20:00:00', '6:59:59')
# Date Hour Duration
#2014-05-12 20:05:20 2014-05-12 20:05:20 2.2
#2014-05-12 20:06:20 2014-05-12 20:06:20 4.2
#2014-05-12 22:05:22 2014-05-12 22:05:22 3.1
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