借助pd.date_range快速实现

生成 Timestamp对象 列表

生成一系列Timestamp对象，Timestamp对象是对python datetime再封装得到的，一般情况直接用起来就好了。

python
import pandas as pd
a = list(pd.date_range(start='2021-06-21 00:00:00', end='2021-06-22 00:00:00', freq='H'))
print(a)

得到：

[Timestamp('2021-06-21 00:00:00', freq='H'), Timestamp('2021-06-21 01:00:00', freq='H'), Timestamp('2021-06-21 02:00:00', freq='H'), Timestamp('2021-06-21 03:00:00', freq='H'), Timestamp('2021-06-21 04:00:00', freq='H'), Timestamp('2021-06-21 05:00:00', freq='H'), Timestamp('2021-06-21 06:00:00', freq='H'), Timestamp('2021-06-21 07:00:00', freq='H'), Timestamp('2021-06-21 08:00:00', freq='H'), Timestamp('2021-06-21 09:00:00', freq='H'), Timestamp('2021-06-21 10:00:00', freq='H'), Timestamp('2021-06-21 11:00:00', freq='H'), Timestamp('2021-06-21 12:00:00', freq='H'), Timestamp('2021-06-21 13:00:00', freq='H'), Timestamp('2021-06-21 14:00:00', freq='H'), Timestamp('2021-06-21 15:00:00', freq='H'), Timestamp('2021-06-21 16:00:00', freq='H'), Timestamp('2021-06-21 17:00:00', freq='H'), Timestamp('2021-06-21 18:00:00', freq='H'), Timestamp('2021-06-21 19:00:00', freq='H'), Timestamp('2021-06-21 20:00:00', freq='H'), Timestamp('2021-06-21 21:00:00', freq='H'), Timestamp('2021-06-21 22:00:00', freq='H'), Timestamp('2021-06-21 23:00:00', freq='H'), Timestamp('2021-06-22 00:00:00', freq='H')]

生成 str对象 列表

python
import pandas as pd
a = list(pd.date_range(start='2021-06-21 00:00:00', end='2021-06-22 00:00:00', freq='H'))
a=list(map(str,a))
print(a)

得到：

['2021-06-21 00:00:00', '2021-06-21 01:00:00', '2021-06-21 02:00:00', '2021-06-21 03:00:00', '2021-06-21 04:00:00', '2021-06-21 05:00:00', '2021-06-21 06:00:00', '2021-06-21 07:00:00', '2021-06-21 08:00:00', '2021-06-21 09:00:00', '2021-06-21 10:00:00', '2021-06-21 11:00:00', '2021-06-21 12:00:00', '2021-06-21 13:00:00', '2021-06-21 14:00:00', '2021-06-21 15:00:00', '2021-06-21 16:00:00', '2021-06-21 17:00:00', '2021-06-21 18:00:00', '2021-06-21 19:00:00', '2021-06-21 20:00:00', '2021-06-21 21:00:00', '2021-06-21 22:00:00', '2021-06-21 23:00:00', '2021-06-22 00:00:00']

生成 python datetime对象 列表

python
import pandas as pd
a = list(pd.date_range(start='2021-06-21 00:00:00', end='2021-06-22 00:00:00', freq='H'))
a=list(map(lambda x:x.to_pydatetime(),a))
print(a)

得到：

python
[datetime.datetime(2021, 6, 21, 0, 0), datetime.datetime(2021, 6, 21, 1, 0), datetime.datetime(2021, 6, 21, 2, 0), datetime.datetime(2021, 6, 21, 3, 0), datetime.datetime(2021, 6, 21, 4, 0), datetime.datetime(2021, 6, 21, 5, 0), datetime.datetime(2021, 6, 21, 6, 0), datetime.datetime(2021, 6, 21, 7, 0), datetime.datetime(2021, 6, 21, 8, 0), datetime.datetime(2021, 6, 21, 9, 0), datetime.datetime(2021, 6, 21, 10, 0), datetime.datetime(2021, 6, 21, 11, 0), datetime.datetime(2021, 6, 21, 12, 0), datetime.datetime(2021, 6, 21, 13, 0), datetime.datetime(2021, 6, 21, 14, 0), datetime.datetime(2021, 6, 21, 15, 0), datetime.datetime(2021, 6, 21, 16, 0), datetime.datetime(2021, 6, 21, 17, 0), datetime.datetime(2021, 6, 21, 18, 0), datetime.datetime(2021, 6, 21, 19, 0), datetime.datetime(2021, 6, 21, 20, 0), datetime.datetime(2021, 6, 21, 21, 0), datetime.datetime(2021, 6, 21, 22, 0), datetime.datetime(2021, 6, 21, 23, 0), datetime.datetime(2021, 6, 22, 0, 0)]

转换

pd.Timestamp 转 datetime.datetime ：

python
pd.Timestamp("2021-06-06").to_pydatetime()

datetime.datetime 转 pd.Timestamp：

python
pd.to_datetime(datetime.datetime.now())