Python Pandas - 如何以每小时的频率舍入 TimeDeltaIndex
要以每小时的频率舍入TimeDeltaIndex，请使用方法。对于每小时频率，请使用值为'H'的freq参数。TimeDeltaIndex.round()
首先，导入所需的库-
import pandas as pd
创建一个TimeDeltaIndex对象。我们已经使用'data'参数设置了类似timedelta的数据-
tdIndex = pd.TimedeltaIndex(data =['10 day 5h 2 min 3us 10ns', '+22:39:19.999999', '2 day 4h 03:08:02.000045', '+21:15:45.999999'])
显示TimedeltaIndex-
print("TimedeltaIndex...\n", tdIndex)以每小时的频率对TimeDeltaIndex日期进行舍入操作。对于每小时频率，我们使用了“H”-
print("\nPerforming round operation with hourly frequency...\n",
tdIndex.round(freq='H'))示例
以下是代码-
import pandas as pd
#CreateaTimeDeltaIndexobject
# We have set the timedelta-like data using the 'data' parameter
tdIndex = pd.TimedeltaIndex(data =['10 day 5h 2 min 3us 10ns', '+22:39:19.999999',
'2 day 4h 03:08:02.000045', '+21:15:45.999999'])
#displayTimedeltaIndex
print("TimedeltaIndex...\n", tdIndex)
#ReturnadataframeofthecomponentsofTimeDeltas
print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components)
#RoundoperationonTimeDeltaIndexdatewithhourlyfrequency
# For hourly frequency, we have used 'H'
print("\nPerforming round operation with hourly frequency...\n",
tdIndex.round(freq='H'))输出结果这将产生以下代码-
TimedeltaIndex... TimedeltaIndex(['10 days 05:02:00.000003010', '0 days 22:39:19.999999', '2 days 07:08:02.000045', '0 days 21:15:45.999999'], dtype='timedelta64[ns]', freq=None) The Dataframe of the components of TimeDeltas... days hours minutes seconds milliseconds microseconds nanoseconds 0 10 5 2 0 0 3 10 1 0 22 39 19 999 999 0 2 2 7 8 2 0 45 0 3 0 21 15 45 999 999 0 Performing round operation with hourly frequency... TimedeltaIndex(['10 days 05:00:00', '0 days 23:00:00', '2 days 07:00:00', '0 days 21:00:00'], dtype='timedelta64[ns]', freq=None)