Pandas:将Timestamp转换为datetime.date

Question

我有一个Pandas列的Timestamp数据

In [27]: train["Original_Quote_Date"][6] 
Out[27]: Timestamp('2013-12-25 00:00:00')

如何检查这些对象与datetime.date该类型对象的等价性

datetime.date(2013, 12, 25)

Answer 1

使用.date方法:

In [11]: t = pd.Timestamp('2013-12-25 00:00:00')

In [12]: t.date()
Out[12]: datetime.date(2013, 12, 25)

In [13]: t.date() == datetime.date(2013, 12, 25)
Out[13]: True

要与DatetimeIndex(即时间戳数组)进行比较,您需要以相反的方式执行此操作:

In [21]: pd.Timestamp(datetime.date(2013, 12, 25))
Out[21]: Timestamp('2013-12-25 00:00:00')

In [22]: ts = pd.DatetimeIndex([t])

In [23]: ts == pd.Timestamp(datetime.date(2013, 12, 25))
Out[23]: array([ True], dtype=bool)

Answer 2

从pandas 0.20.3开始,用于.to_pydatetime()将任何pandas.DateTimeIndex实例转换为Python datetime.datetime.

Answer 3

您可以将 datetime.date 对象转换为 pandas Timestamp，如下所示：

#!/usr/bin/env python3
# coding: utf-8

import pandas as pd
import datetime

# create a datetime data object
d_time = datetime.date(2010, 11, 12)

# create a pandas Timestamp object
t_stamp = pd.to_datetime('2010/11/12')

# cast `datetime_timestamp` as Timestamp object and compare
d_time2t_stamp = pd.to_datetime(d_time)

# print to double check
print(d_time)
print(t_stamp)
print(d_time2t_stamp)

# since the conversion succeds this prints `True`
print(d_time2t_stamp == t_stamp)

Answer 4

我使用了 Filomeno Gonzalez 推荐的方法，尽管略有不同：

 data['date'] = data['date'].apply(lambda x: x.date())

Answer 5

from datetime import datetime

time = datetime.fromtimestamp(1676266245263 / 1000)

输出示例：2023-02-13 05:30:45.263000

Answer 6

假设时间列是时间戳整数毫秒格式

1 天 = 86400000 毫秒

干得好：

day_divider = 86400000

df['time'] = df['time'].values.astype(dtype='datetime64[ms]') # for msec format

df['time'] = (df['time']/day_divider).values.astype(dtype='datetime64[D]') # for day format