Python Pandas - 如何以微秒频率舍入 TimeDeltaIndex

要以微秒频率舍入TimeDeltaIndex，请使用该方法。对于微秒频率，使用值为us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, +07:20:32.261811624])

显示TimedeltaIndex-

print("TimedeltaIndex...\n", tdIndex)

以微秒频率对TimeDeltaIndex日期进行舍入操作。对于微秒频率，我们使用了“我们”-

print("\nPerforming round operation with microseconds frequency...\n", tdIndex.round(freq=us))

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, +07:20:32.261811624]) #displayTimedeltaIndex print("TimedeltaIndex...\n", tdIndex) #ReturnadataframeofthecomponentsofTimeDeltas print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components) #RoundoperationonTimeDeltaIndexdatewithmicrosecondsfrequency # For microseconds frequency, we have used us print("\nPerforming round operation with microseconds frequency...\n", tdIndex.round(freq=us))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 07:20:32.261811624], 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 7 20 32 261 811 624 Performing round operation with microseconds frequency... TimedeltaIndex([10 days 05:02:00.000003, 0 days 22:39:19.999999, 2 days 07:08:02.000045, 0 days 07:20:32.261812], dtype=timedelta64[ns], freq=None)