Pandas: Time zone information from a Time series data
19. Remove Time Zone Information
Write a Pandas program to remove the time zone information from a Time series data.
Sample Solution:
Python Code :
import pandas as pd
date1 = pd.Timestamp('2019-01-01', tz='Europe/Berlin')
date2 = pd.Timestamp('2019-01-01', tz='US/Pacific')
date3 = pd.Timestamp('2019-01-01', tz='US/Eastern')
print("Time series data with time zone:")
print(date1)
print(date2)
print(date3)
print("\nTime series data without time zone:")
print(date1.tz_localize(None))
print(date2.tz_localize(None))
print(date3.tz_localize(None))
Sample Output:
Time series data with time zone: 2019-01-01 00:00:00+01:00 2019-01-01 00:00:00-08:00 2019-01-01 00:00:00-05:00 Time series data without time zone: 2019-01-01 00:00:00 2019-01-01 00:00:00 2019-01-01 00:00:00
For more Practice: Solve these Related Problems:
- Write a Pandas program to remove the timezone information from a timezone-aware time-series and convert it to naive datetime objects.
- Write a Pandas program to strip the timezone from a datetime index and then confirm the change in data type.
- Write a Pandas program to create a timezone-aware series and then drop its timezone while ensuring the datetime values remain unchanged.
- Write a Pandas program to convert a timezone-aware DataFrame column to naive datetimes and perform arithmetic operations.
Python Code Editor:
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