要以分钟频率对 DateTimeIndex 执行地板运算,请使用方法。对于每分钟频率,请使用值为'T'的freq参数。DateTimeIndex.floor()
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 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)
以分钟频率对 DateTimeIndex 日期进行地板操作。对于分钟频率,我们使用了“T” -
print("\nPerforming floor operation with minute frequency...\n", datetimeindex.floor(freq='T'))
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) # getting the minute res = datetimeindex.minute # display only the minute print("\nThe minute from DateTimeIndex...\n", res) # Floor operation on DateTimeIndex date with minute frequency # For minute frequency, we have used 'T' print("\nPerforming floor operation with minute frequency...\n", datetimeindex.floor(freq='T'))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> The minute from DateTimeIndex... Int64Index([20, 21, 21, 22, 23], dtype='int64') Performing floor operation with minute frequency... DatetimeIndex(['2021-10-18 07:20:00+10:30', '2021-10-18 07:21:00+10:30', '2021-10-18 07:21:00+10:30', '2021-10-18 07:22:00+10:30', '2021-10-18 07:23:00+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)