Python Pandas - 将 DateTimeIndex 转换为不包括 TimeZone 的系列

要将DateTimeIndex转换为不包括TimeZone的系列，请使用..本是用来排除时区。datetimeindex.tz_convert(None)to_series()tz.convert(None)

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-

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

显示日期时间索引-

print("DateTimeIndex...\n", datetimeindex)

将DateTimeIndex转换为系列。使用“tz_convert()”并将其设置为“无”以排除时区-

print("\nDateTimeIndex to series excluding the TimeZone...\n", datetimeindex.tz_convert(None).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 # Use the "tz_convert()" andsetitto "None" to exclude the TimeZone print("\nDateTimeIndex to series excluding the TimeZone...\n", datetimeindex.tz_convert(None).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 excluding the TimeZone... 2021-10-17 20:50:32.261811624 2021-10-17 20:50:32.261811624 2021-10-17 20:51:12.261811624 2021-10-17 20:51:12.261811624 2021-10-17 20:51:52.261811624 2021-10-17 20:51:52.261811624 2021-10-17 20:52:32.261811624 2021-10-17 20:52:32.261811624 2021-10-17 20:53:12.261811624 2021-10-17 20:53:12.261811624 Freq: 40S, dtype: datetime64[ns]