Python Pandas – 从 DateTimeIndex 中提取具有特定时间序列频率的微秒

要从具有特定时间序列频率的 DateTimeIndex 中提取微秒，请使用 DateTimeIndex.microsecond 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us（即微秒）的 DatetimeIndex。时区为澳大利亚/悉尼 –

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

显示 DateTimeIndex –

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

获取微秒 –

print("\n获取微秒..\n",datetimeindex.microsecond)

示例

以下是代码 –

import pandas as pd

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

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

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

# get the microsecond
print("\n获取微秒..\n",datetimeindex.microsecond)

输出

这将产生以下代码 –

DateTimeIndex...
DatetimeIndex([ '2021-10-20 02:30:50+11:00',
'2021-10-20 02:30:50.000001+11:00',
'2021-10-20 02:30:50.000002+11:00',
'2021-10-20 02:30:50.000003+11:00',
'2021-10-20 02:30:50.000004+11:00',
'2021-10-20 02:30:50.000005+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='U')
DateTimeIndex frequency...
<Micro>

获取微秒..
Int64Index([0, 1, 2, 3, 4, 5], dtype='int64')