Python Pandas – 使用特定时间序列频率从DateTimeIndex中提取时区

要使用特定时间序列频率从DateTimeIndex中提取时区，请使用 DateTimeIndex.tz 属性。

首先，导入所需的库−

import pandas as pd

创建一个周期为6、频率为D（即天）的DatetimeIndex。时区为Australia/Sydney−

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='D')

显示DateTimeIndex−

print("DateTimeIndex...\n", datetimeindex)

获取时区−

print("\n获取时区..\n",datetimeindex.tz)

示例

以下是代码−

import pandas as pd

# DatetimeIndex with period 6 and frequency as D i.e. day
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='D')

# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# Get the timezone
print("\n获取时区..\n",datetimeindex.tz)

输出

这将生成以下代码−

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:50+11:00', '2021-10-21 02:30:50+11:00',
'2021-10-22 02:30:50+11:00', '2021-10-23 02:30:50+11:00',
'2021-10-24 02:30:50+11:00', '2021-10-25 02:30:50+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='D')
DateTimeIndex frequency...
<Day>

获取时区..
Australia/Sydney