如何在 python 中将时间（对象）转换为日期时间或时间戳数据类型？

Question

Trying to convert object type variable to datetime type pd.to_datetime(df['Time'])

0      13:08:00
1      10:29:00
2      13:23:00
3      20:33:00
4      10:37:00

Error:<class 'datetime.time'> is not convertible to datetime

Please help how can I convert object to datetime and merge with date variable.

Answer 1

df['col'] = df['col].astype('datetime64')

This worked for me.

Answer 2

What you have are datetime.time objects, as the error tells you. You can use their string representation and parse to pandas datetime or timedelta, depending on your needs. Here's three options for example,

import datetime
import pandas as pd

df = pd.DataFrame({'Time': [datetime.time(13,8), datetime.time(10,29), datetime.time(13,23)]})

# 1)
# use string representation and parse to datetime:
pd.to_datetime(df['Time'].astype(str))
# 0   2022-01-19 13:08:00
# 1   2022-01-19 10:29:00
# 2   2022-01-19 13:23:00
# Name: Time, dtype: datetime64[ns]

# 2)
# add as timedelta to a certain date:
pd.Timestamp('2020-1-1') + pd.to_timedelta(df['Time'].astype(str))
# 0   2020-01-01 13:08:00
# 1   2020-01-01 10:29:00
# 2   2020-01-01 13:23:00
# Name: Time, dtype: datetime64[ns]

# 3)
# add the cumulated sum of the timedelta to a starting date:
pd.Timestamp('2020-1-1') + pd.to_timedelta(df['Time'].astype(str)).cumsum()
# 0   2020-01-01 13:08:00
# 1   2020-01-01 23:37:00
# 2   2020-01-02 13:00:00
# Name: Time, dtype: datetime64[ns]