Pandas Datetime: Manipulate and convert date times with timezone information
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.
Python Code Editor:
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