Python Pandas - 将 DateTimeIndex 转换为系列

要将DateTimeIndex转换为Series，请使用方法。DateTimeIndex.to_series()

首先，导入所需的库-

import pandas as pd

创建一个日期时间索引，周期为5，频率为S，即秒。时区是澳大利亚/阿德莱德-

datetimeindex = pd.date_range(2021-10-18 07:20:32.261811624, periods=5, tz=Australia/Adelaide, freq=40S)

将DateTimeIndex转换为系列-

print("\nDateTimeIndex to series...\n", datetimeindex.to_series())

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod5andfrequencyasSi.e.seconds #timezoneisAustralia/Adelaide datetimeindex = pd.date_range(2021-10-18 07:20:32.261811624, periods=5, tz=Australia/Adelaide, freq=40S) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #ConvertDateTimeIndextoSeries print("\nDateTimeIndex to series...\n", datetimeindex.to_series())输出结果

这将产生以下代码-

DateTimeIndex... DatetimeIndex([2021-10-18 07:20:32.261811624+10:30, 2021-10-18 07:21:12.261811624+10:30, 2021-10-18 07:21:52.261811624+10:30, 2021-10-18 07:22:32.261811624+10:30, 2021-10-18 07:23:12.261811624+10:30], dtype=datetime64[ns, Australia/Adelaide], freq=40S) DateTimeIndex frequency... <40 * Seconds> DateTimeIndex to series... 2021-10-18 07:20:32.261811624+10:30 2021-10-18 07:20:32.261811624+10:30 2021-10-18 07:21:12.261811624+10:30 2021-10-18 07:21:12.261811624+10:30 2021-10-18 07:21:52.261811624+10:30 2021-10-18 07:21:52.261811624+10:30 2021-10-18 07:22:32.261811624+10:30 2021-10-18 07:22:32.261811624+10:30 2021-10-18 07:23:12.261811624+10:30 2021-10-18 07:23:12.261811624+10:30 Freq: 40S, dtype: datetime64[ns, Australia/Adelaide]