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法律研究Python Pandas - 如何以秒频率舍入 TimeDeltaIndex
要以秒频率舍入 TimeDeltaIndex，请使用 TimeDeltaIndex.round() 方法。对于秒频率，请使用值 ‘S’ 的 freq 参数。
首先，导入所需的库 -
import pandas as pd
创建一个 TimeDeltaIndex 对象。我们使用 'data' 参数设置了类 timedelta 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)对 TimeDeltaIndex 日期执行以秒频率舍入操作。对于秒频率，我们使用了 'S' -
print("\nPerforming round operation with seconds frequency...\n",
tdIndex.round(freq='S'))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 seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming round operation with seconds frequency...\n",
tdIndex.round(freq='S'))输出
这将生成以下代码 -
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 seconds frequency... TimedeltaIndex(['10 days 05:02:00', '0 days 22:39:20', '2 days 07:08:02', '0 days 21:15:46'], dtype='timedelta64[ns]', freq=None)
更新于： 20-Oct-2021
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