Python | Pandas Timestamp.astimezone

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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’.