Pandas Datetime: Manipulate and convert date times with timezone information

Last update on May 03 2025 12:58:20 (UTC/GMT +8 hours)

16. Manipulate Datetime with Timezone Information

Write a Pandas program to manipulate and convert date times with timezone information.

Sample Solution :

Python Code :

import pandas as pd
dtt = pd.date_range('2018-01-01', periods=3, freq='H')
dtt = dtt.tz_localize('UTC')
print(dtt)
print("\nFrom UTC to America/Los_Angeles:")
dtt = dtt.tz_convert('America/Los_Angeles')
print(dtt)

Sample Output:

DatetimeIndex(['2018-01-01 00:00:00+00:00', '2018-01-01 01:00:00+00:00',
               '2018-01-01 02:00:00+00:00'],
              dtype='datetime64[ns, UTC]', freq='H')

From UTC to America/Los_Angeles:
DatetimeIndex(['2017-12-31 16:00:00-08:00', '2017-12-31 17:00:00-08:00',
               '2017-12-31 18:00:00-08:00'],
              dtype='datetime64[ns, America/Los_Angeles]', freq='H')

For more Practice: Solve these Related Problems:

Write a Pandas program to convert UFO reporting dates to timezone-aware datetimes and then change the timezone.
Write a Pandas program to add timezone information to a datetime column in the UFO dataset and display the modified values.
Write a Pandas program to localize a column of UFO reporting dates to a specific timezone and then convert them to UTC.
Write a Pandas program to manipulate timezone-aware datetime objects and compare the local time with UTC in the UFO data.

Go to:

Previous: Write a Pandas program to create a conversion between strings and datetime.
Next: Write a Pandas program to get the average mean of the UFO (unidentified flying object) sighting was reported.

Python Code Editor:

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