Python | Pandas Timestamp.tz_convert

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.tz_convert() function convert tz-aware Timestamp to another time zone. The function takes the desired timezone as an input to which we want to convert to.

Syntax :Timestamp.tz_convert()

Parameters :
tz : Time zone for time which Timestamp will be converted to. None will remove timezone holding UTC time.

Return : converted : Timestamp

Example #1: Use Timestamp.tz_convert() function to convert the given tz-aware Timestamp object to ‘Asia/Kolkata’.

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# 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)

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Output :

Now we will use the Timestamp.tz_convert() function to convert the timezone of ts object to ‘Asia/Kolkata’.

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# convert to 'Asia / Kolkata'
ts.tz_convert(tz = 'Asia/Kolkata')

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Output :

As we can see in the output, the Timestamp.tz_convert() function has converted the timezone of the given object to ‘Asia/Kolkata’.

Example #2: Use Timestamp.tz_convert() function to convert the given tz-aware Timestamp object to ‘US/Pacific’.

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# 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)

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Output :

Now we will use the Timestamp.tz_convert() function to convert the timezone of ts object to ‘US/Pacific’.

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# convert to 'US / Pacific'
ts.tz_convert(tz = 'US/Pacific')

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Output :

As we can see in the output, the Timestamp.tz_convert() function has converted the timezone of the given object to ‘US/Pacific’.



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