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法律研究Python Pandas - 如何按小时频率舍入 TimeDeltaIndex
要按照小时频率舍入 TimeDeltaIndex，请使用 TimeDeltaIndex.round() 方法。对于小时频率，请使用 freq 参数，其值设为 ‘H’。
首先，导入必需的库 −
import pandas as pd
创建一个 TimeDeltaIndex 对象。我们使用 'data' 参数设置基于 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)
使用小时频率对 TimeDeltaIndex 日期执行舍入运算。对于小时频率，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 # Create a TimeDeltaIndex object # 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']) # display TimedeltaIndex print("TimedeltaIndex...\n", tdIndex) # Return a dataframe of the components of TimeDeltas print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components) # Round operation on TimeDeltaIndex date with hourly frequency # For hourly frequency, we have used 'H' print("\nPerforming round operation with hourly frequency...\n", tdIndex.round(freq='H'))
示例输出
将生成以下代码 −
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)
更新于: 2021-10-20
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