Python Pandas - 如何以指定的频率对 DateTimeIndex 执行 ceil 操作
要以指定的频率对DateTimeIndex执行ceil操作,请使用方法。对于频率,请使用freq参数。DateTimeIndex.ceil()
首先,导入所需的库-
import pandas as pd
创建一个日期时间索引,周期为5,频率为S,即秒。时区是澳大利亚/阿德莱德-
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S')
显示日期时间索引-
print("DateTimeIndex...\n", datetimeindex)
具有指定频率的DateTimeIndex日期的Ceil操作-
print("\nPerforming ceil operation...\n", datetimeindex.ceil(freq='us'))
示例
以下是代码-
import pandas as pd #DatetimeIndexwithperiod5andfrequencyasSi.e.seconds #timezoneisAustralia/Adelaide datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S') #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #CeiloperationonDateTimeIndexdatewithfrequency print("\nPerforming ceil operation...\n", datetimeindex.ceil(freq='us'))输出结果
这将产生以下代码-
DateTimeIndex... DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30', '2021-10-18 07:21:12.261811624+10:30', '2021-10-18 07:21:52.261811624+10:30', '2021-10-18 07:22:32.261811624+10:30', '2021-10-18 07:23:12.261811624+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='40S') DateTimeIndex frequency... <40 * Seconds> Performing ceil operation... DatetimeIndex(['2021-10-18 07:20:32.261812+10:30', '2021-10-18 07:21:12.261812+10:30', '2021-10-18 07:21:52.261812+10:30', '2021-10-18 07:22:32.261812+10:30', '2021-10-18 07:23:12.261812+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)