Python Pandas - 如何以毫秒频率舍入 TimeDeltaIndex
要以毫秒频率舍入TimeDeltaIndex，请使用方法。对于毫秒频率，使用值为'ms'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)以毫秒为频率对TimeDeltaIndex日期进行舍入操作。对于毫秒频率，我们使用了'ms'-
print("\nPerforming round operation with milliseconds frequency...\n",
tdIndex.round(freq='ms'))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)
#RoundoperationonTimeDeltaIndexdatewithmillisecondsfrequency
# For milliseconds frequency, we have used 'ms'
print("\nPerforming round operation with milliseconds frequency...\n",
tdIndex.round(freq='ms'))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 milliseconds frequency... TimedeltaIndex([ '10 days 05:02:00', '0 days 22:39:20', '2 days 07:08:02', '0 days 07:20:32.262000'], dtype='timedelta64[ns]', freq=None)