在 Pandas 中将字符串转换为 timedelta [英] Convert string to timedelta in pandas

问题描述

我有一个系列，其中时间戳的格式为 HHHHH:MM:

I have a series where the timestamp is in the format HHHHH:MM:

timestamp = pd.Series(['34:23', '125:26', '15234:52'], index=index)

我想将其转换为 timedelta 系列.

I would like to convert it to a timedelta series.

现在我设法在单个字符串上做到这一点:

For now I manage to do that on a single string:

str[:-3]
str[-2:]
timedelta(hours=int(str[:-3]),minutes=int(str[-2:]))

如果可能，我想以更简洁的方式将其应用于整个系列.有没有办法做到这一点?

I would like to apply it to the whole series, if possible in a cleaner way. Is there a way to do this?

推荐答案

你可以使用 column-wise Pandas 方法:

You can use column-wise Pandas methods:

s = pd.Series(['34:23','125:26','15234:52'])

v = s.str.split(':', expand=True).astype(int)
s = pd.to_timedelta(v[0], unit='h') + pd.to_timedelta(v[1], unit='m')

print(s)

0     1 days 10:23:00
1     5 days 05:26:00
2   634 days 18:52:00
dtype: timedelta64[ns]

正如评论中所指出的，这也可以在一行中实现，尽管不太清楚:

As pointed out in comments, this can also be achieved in one line, albeit less clear:

s = pd.to_timedelta((s.str.split(':', expand=True).astype(int) * (60, 1)).sum(axis=1), unit='min')

这篇关于在 Pandas 中将字符串转换为 timedelta的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！