好资源导航 » 文章资讯 » Python Pandas - 将 DateTimeIndex 中的时间戳捕捉到最近的出现频率

Python Pandas - 将 DateTimeIndex 中的时间戳捕捉到最近的出现频率

2024-05-20 17:06:05 411

要将DateTimeIndex中的时间戳捕捉到最近的出现频率，请使用该方法。使用freq参数设置频率。DateTimeIndex.snap()

首先，导入所需的库-

import pandas as pd

创建一个周期为6且频率为D的DatetimeIndex-

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

显示日期时间索引-

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

将时间戳捕捉到最近发生的事件，即这里的月末-

print("\nSnap time stamps to nearest occurring frequency...\n",
datetimeindex.snap(freq='M'))

示例

以下是代码-

import pandas as pd

#DatetimeIndexwithperiod6andfrequencyasDi.e.day
#ThetimezoneisAustralia/Adelaide
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Adelaide', freq='D')

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

#displayDateTimeIndex frequency
print("\nDateTimeIndex frequency...\n", datetimeindex.freq)

#Snaptimestampstonearestoccurringi.e.Monthendhere
print("\nSnap time stamps to nearest occurring frequency...\n",
datetimeindex.snap(freq='M'))

输出结果

这将产生以下代码-

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

Snap time stamps to nearest occurring frequency...
DatetimeIndex(['2021-10-31 02:30:50+10:30', '2021-10-31 02:30:50+10:30',
'2021-10-31 02:30:50+10:30', '2021-10-31 02:30:50+10:30',
'2021-10-31 02:30:50+10:30', '2021-10-31 02:30:50+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq=None)

返回顶部
3162201930
czq8825@qq.com

Python Pandas - 将 DateTimeIndex 中的时间戳捕捉到最近的出现频率

示例

热门推荐

随机推荐