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]