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’.
# 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.tz_convert() function to convert the timezone of ts object to ‘Asia/Kolkata’.
# convert to 'Asia / Kolkata' ts.tz_convert(tz = 'Asia/Kolkata') |
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’.
# 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.tz_convert() function to convert the timezone of ts object to ‘US/Pacific’.
# convert to 'US / Pacific' ts.tz_convert(tz = 'US/Pacific') |
Output :
As we can see in the output, the Timestamp.tz_convert() function has converted the timezone of the given object to ‘US/Pacific’.
