Python | Pandas Timestamp.tz_convert
Last Updated :
27 Jan, 2019
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’.
import pandas as pd
ts = pd.Timestamp(year = 2011 , month = 11 , day = 21 ,
hour = 10 , second = 49 , tz = 'US/Central' )
print (ts)
|
Output :
Now we will use the Timestamp.tz_convert()
function to convert the timezone of ts object 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’.
import pandas as pd
ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 ,
hour = 4 , second = 49 , tz = 'Europe/Berlin' )
print (ts)
|
Output :
Now we will use the Timestamp.tz_convert()
function to convert the timezone of ts object 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’.
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