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法律研究Python Pandas - 如何用微秒频率舍入 TimeDeltaIndex
如需使用微秒频率舍入 TimeDeltaIndex，请使用 TimeDeltaIndex.round() 方法。对于微秒频率，将 freq 参数的值设为 ‘us’。
首先，导入所需的库 −
import pandas as pd
创建一个 TimeDeltaIndex 对象。我们已使用 'data' 参数设置 timedelta 类型的数据 −
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)对带微秒频率的时间的 TimeDeltaIndex 日期进行舍入运算。对于微秒频率，我们使用了 'us' −
print("\nPerforming round operation with microseconds frequency...\n",
tdIndex.round(freq='us'))示例
代码如下 −
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', '+07:20:32.261811624'])
# 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 microseconds frequency
# For microseconds frequency, we have used 'us'
print("\nPerforming round operation with microseconds frequency...\n",
tdIndex.round(freq='us'))结果
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 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)
更新于: 2021 年 10 月 20 日
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