Python Pandas - 返回带有时区信息的 python datetime.time 对象的 numpy 数组
如需使用时区信息返回 python datetime.time 对象的 numpy 数组,请使用 datetimeindex.timetz 属性。
首先,导入所需库 −
import pandas as pd
使用周期为 5,频率为 us(即纳秒)创建 DatetimeIndex −
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=5, tz='Australia/Sydney', freq='ns')
显示 DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)仅返回带有时区信息的时间戳的时间部分 −
print("\nThe numpy array (time part with timezone)..\n",datetimeindex.timetz)
示例
代码如下 −
import pandas as pd
# DatetimeIndex with period 5 and frequency as us i.e. nanoseconds
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=5, tz='Australia/Sydney', freq='ns')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# Returns only the time part of Timestamp with timezone information
print("\nThe numpy array (time part with timezone)..\n",datetimeindex.timetz)输出
将生成以下代码 −
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>)]
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