Python | Pandas Series.dt.tz_localize

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.tz_localize() function localize tz-naive Datetime Array/Index to tz-aware Datetime Array/Index. This method takes a time zone (tz) naive Datetime Array/Index object and makes this time zone aware. It does not move the time to another time zone.

Syntax: Series.dt.tz_localize(*args, **kwargs)

Parameter :



tz : Time zone to convert timestamps to.

Returns : same type as self

Example #1: Use Series.dt.tz_localize() function to localize the tz-naive datetime value in the series to tz-aware.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['2012-12-31', '2019-1-1 12:30', '2008-02-2 10:30',
               '2010-1-1 09:25', '2019-12-31 00:00'])
  
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
  
# set the index
sr.index = idx
  
# Convert the underlying data to datetime 
sr = pd.to_datetime(sr)
  
# Print the series
print(sr)

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Output :

Now we will use Series.dt.tz_localize() function to localize the given tz-naive series to ‘US/Eastern’.

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# localize to 'US / Eastern'
result = sr.dt.tz_localize(tz = 'US / Eastern')
  
# print the result
print(result)

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Output :

As we can see in the output, the Series.dt.tz_localize() function has successfully localized the given tz-naive datetime series to tz-aware.

Example #2 : Use Series.dt.tz_localize() function to return the given series object as an array of native python datetime object.


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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-31 00:00', periods = 5, freq = 'D'))
  
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
  
# set the index
sr.index = idx
  
# Print the series
print(sr)

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Output :

Now we will use Series.dt.tz_localize() function to localize the given tz-naive series to ‘Europe/Berlin’.

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# localize to 'Europe / Berlin'
result = sr.dt.tz_localize(tz = 'Europe / Berlin')
  
# print the result
print(result)

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Output :

As we can see in the output, the Series.dt.tz_localize() function has successfully localized the given tz-naive datetime series to tz-aware.



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