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法律研究Python Pandas——如何利用秒频率对 DateTimeIndex 进行舍入
要对 DateTimeIndex 进行秒频率舍入，请使用 DateTimeIndex.round() 方法。对于秒频率，请将 freq 参数值设置为 ‘S’。
首先，导入必需的库 −
import pandas as pd
使用周期为 5 且频率为 s（即秒）创建 DatetimeIndex −
datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='28s')对日期为秒频率的 DateTimeIndex 执行舍入运算。对于秒频率，我们使用了 'S' −
print("\nPerforming round operation with seconds frequency...\n",
datetimeindex.round(freq='S'))示例
以下是代码 −
import pandas as pd
# DatetimeIndex with period 5 and frequency as s i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='28s')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# getting the second
res = datetimeindex.second
# display only the second
print("\nThe second from DateTimeIndex...\n", res)
# Round operation on DateTimeIndex date with seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming round operation with seconds frequency...\n",
datetimeindex.round(freq='S'))输出
这将生成以下代码 −
DateTimeIndex... DatetimeIndex(['2021-09-29 07:20:32.261811624+09:30', '2021-09-29 07:21:00.261811624+09:30', '2021-09-29 07:21:28.261811624+09:30', '2021-09-29 07:21:56.261811624+09:30', '2021-09-29 07:22:24.261811624+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='28S') DateTimeIndex frequency... <28 * Seconds> The second from DateTimeIndex... Int64Index([32, 0, 28, 56, 24], dtype='int64') Performing round operation with seconds frequency... DatetimeIndex(['2021-09-29 07:20:32+09:30', '2021-09-29 07:21:00+09:30', '2021-09-29 07:21:28+09:30', '2021-09-29 07:21:56+09:30', '2021-09-29 07:22:24+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)
更新于： 19-10-2021
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