Pandas-如何从Python的datetime列中提取HH:MM? [英] Pandas - How to extract HH:MM from datetime column in Python?

问题描述

我只想从我的df HH:MM中提取.我该怎么办?

I just want to extract from my df HH:MM. How do I do it?

这是df中该列的描述:

count                     810
unique                    691
top       2018-07-25 11:14:00
freq                        5
Name: datetime, dtype: object

字符串值包含完整的时间戳记.目标是将每一行的HH:MM解析到另一个df中，然后循环回而仅将%Y-%m-%d提取到另一个df中.

The string value includes a full time stamp. The goal is to parse each row's HH:MM into another df, and to loop back over and extract just the %Y-%m-%d into another df.

推荐答案

假设df看起来像

print(df)

             date_col
0 2018-07-25 11:14:00
1 2018-08-26 11:15:00
2 2018-07-29 11:17:00
#convert from string to datetime
df['date_col'] = pd.to_datetime(df['date_col']) 

#to get date only
print(df['date_col'].dt.date)
0    2018-07-25
1    2018-08-26
2    2018-07-29

#to get time:
print(df['date_col'].dt.time)

0    11:14:00
1    11:15:00
2    11:17:00
#to get hour and minute
print(df['date_col'].dt.strftime('%H:%M'))
0    11:14
1    11:15
2    11:17

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