要以毫秒频率对 DateTimeIndex 执行地板操作,请使用方法。对于毫秒频率,使用值为'ms'的freq参数。DateTimeIndex.floor()
首先,导入所需的库 -
import pandas as pd
DatetimeIndex 周期为 7,频率为 S,即秒 -
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)
以毫秒为频率对 DateTimeIndex 日期进行地板操作。对于毫秒频率,我们使用了 'ms' -
print("\nPerforming floor operation with milliseconds frequency...\n", datetimeindex.floor(freq='ms'))
以下是代码 -
import pandas as pd # DatetimeIndex with period 7 and frequency as S i.e. seconds # timezone is Australia/Adelaide datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # Floor operation on DateTimeIndex date with milliseconds frequency # For milliseconds frequency, we have used 'ms' print("\nPerforming floor operation with milliseconds frequency...\n", datetimeindex.floor(freq='ms'))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 floor operation with milliseconds frequency... DatetimeIndex(['2021-10-18 07:20:32.261000+10:30', '2021-10-18 07:21:12.261000+10:30', '2021-10-18 07:21:52.261000+10:30', '2021-10-18 07:22:32.261000+10:30', '2021-10-18 07:23:12.261000+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)