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Python Pandas - Return numpy array of python datetime.time objects with timezone information
To return numpy array of python datetime.time objects with timezone information, use the datetimeindex.timetz property.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as us i.e. nanoseconds −
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)
Example
Following is the code −
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)Output
This will produce the following code −
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>)]
Updated on: 18-Oct-2021
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