Pandas: Create a time series object with a time zone

Last update on September 09 2025 12:43:18 (UTC/GMT +8 hours)

18. Time Series with Time Zone

Write a Pandas program to create a time series object with a time zone.

Sample Solution:

Python Code :

import pandas as pd
print("Timezone: Europe/Berlin:")
print("Using pytz:")
date_pytz = pd.Timestamp('2019-01-01', tz = 'Europe/Berlin')
print(date_pytz.tz)  
print("Using dateutil:")
date_util = pd.Timestamp('2019-01-01', tz = 'dateutil/Europe/Berlin')
print(date_util.tz)
print("\nUS/Pacific:")
print("Using pytz:")
date_pytz = pd.Timestamp('2019-01-01', tz = 'US/Pacific')
print(date_pytz.tz)  
print("Using dateutil:")
date_util = pd.Timestamp('2019-01-01', tz = 'dateutil/US/Pacific')
print(date_util.tz)

Sample Output:

Timezone: Europe/Berlin:
Using pytz:
Europe/Berlin
Using dateutil:
tzfile('/usr/share/zoneinfo/Europe/Berlin')

US/Pacific:
Using pytz:
US/Pacific
Using dateutil:
tzfile('/usr/share/zoneinfo/US/Pacific')

For more Practice: Solve these Related Problems:

Write a Pandas program to generate a timezone-aware time-series and then convert it to a different specified timezone.
Write a Pandas program to create a datetime index localized to a given timezone and verify the timezone attribute.
Write a Pandas program to generate a time-series with time zone information and then perform arithmetic between dates in different time zones.
Write a Pandas program to create a time-series with a specified timezone and then convert all timestamps to UTC.

Go to:

PREV : Unix/Epoch Time Conversion.
NEXT : Remove Time Zone Information.

Python Code Editor:

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