要返回datetime.time带有时区信息的Python对象的numpy数组,请使用datetimeindex.timetz属性。
首先,导入所需的库-
import pandas as pd创建一个周期为5和频率为我们的DatetimeIndex,即纳秒-
datetimeindex = pd.date_range(2021-10-20 02:30:50, periods=5, tz=Australia/Sydney, freq=ns)显示日期时间索引-
print("DateTimeIndex...\n", datetimeindex)仅返回带有时区信息的Timestamp的时间部分-
print("\nThe numpy array (time part with timezone)..\n",datetimeindex.timetz)以下是代码-
import pandas as pd #DatetimeIndex,周期为5,频率为我们,即纳秒 #时区是澳大利亚/悉尼 datetimeindex = pd.date_range(2021-10-20 02:30:50, periods=5, tz=Australia/Sydney, freq=ns) #显示日期时间索引 print("DateTimeIndex...\n", datetimeindex) #仅返回带有时区信息的Timestamp的时间部分 print("\nThe numpy array (time part with timezone)..\n",datetimeindex.timetz)输出结果这将产生以下代码-
DateTimeIndex... DatetimeIndex([ 2021-10-20 02:30:50+11:00, 2021-10-20 02:30:50.000000001+11:00, 2021-10-20 02:30:50.000000002+11:00, 2021-10-20 02:30:50.000000003+11:00, 2021-10-20 02:30:50.000000004+11:00], dtype=datetime64[ns, Australia/Sydney], freq=N) The numpy array (time part with timezone).. [datetime.time(2, 30, 50, tzinfo=<DstTzInfo Australia/Sydney AEDT+11:00:00 DST>) datetime.time(2, 30, 50, tzinfo=<DstTzInfo Australia/Sydney AEDT+11:00:00 DST>) datetime.time(2, 30, 50, tzinfo=<DstTzInfo Australia/Sydney AEDT+11:00:00 DST>) datetime.time(2, 30, 50, tzinfo=<DstTzInfo Australia/Sydney AEDT+11:00:00 DST>) datetime.time(2, 30, 50, tzinfo=<DstTzInfo Australia/Sydney AEDT+11:00:00 DST>)]