Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Timestamp.astimezone() function convert tz-aware Timestamp to another time zone. For tz-naive Timestamp object the function throws an error.
Syntax : Timestamp.astimezone()
Parameters :
tz : Time zone for time which Timestamp will be converted to.Return : converted : Timestamp
Example #1: Use Timestamp.astimezone() function to change the timezone of the given object to ‘Europe/Berlin’.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2011, month = 11, day = 21, hour = 10, second = 49, tz = 'US/Central') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.astimezone() function to change the timezone of the ts object to the desired timezone.
# change the timezone to 'Europe/Berlin' ts.astimezone('Europe/Berlin') |
Output :
As we can see in the output, the Timestamp.astimezone() function has changed the timezone of the given Timestamp object from ‘US/Central’ to ‘Europe/Berlin’.
Example #2: Use Timestamp.astimezone() function to change the timezone of the given object to ‘Asia/Calcutta’.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2009, month = 5, day = 31, hour = 4, second = 49, tz = 'Europe/Berlin') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.astimezone() function to change the timezone of the ts object to the desired timezone.
# change the timezone to 'Asia / Calcutta' ts.astimezone('Asia/Calcutta') |
Output :
As we can see in the output, the Timestamp.astimezone() function has changed the timezone of the given Timestamp object from ‘Europe/Berlin’ to ‘Asia/Calcutta’.
