Pandas Series dt.tz_convert | Change Timezone in DateTime Series

The dt.tz_convert() method converts tz-aware DateTime Series object from one time zone to another.

Example

import pandas as pd
sr = pd.Series(pd.date_range('2012-12-31 00:00', periods = 5, freq = 'D',
                            tz = 'US / Central'))
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
sr.index = idx
result = sr.dt.tz_convert(tz = 'Europe / Berlin')
print(result)

Output:

Syntax

Syntax: Series.dt.tz_convert(tz) 

Parameter 

• tz: Time zone to convert timestamps to. 

Returns: series of same type as input

How to Convert Timezones For tz-aware DateTime Series

To convert timezones from one timezone to another in a tz-aware DateTime Series we use the dt.tz_convert method of the Pandas library in Python.

Let us understand it better with an example:

Example:

Use the Series.dt.tz_convert() function to convert the timezone of the timestamps in the given series object.

# 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',
                            tz = 'US / Central'))

# 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)

Output :

Now we will use the dt.tz_convert() function to convert the timestamps in the given series object to 'Asia/Calcutta'.

# convert to 'Asia / Calcutta'
result = sr.dt.tz_convert(tz = 'Asia / Calcutta')

# print the result
print(result)

Output :

As we can see in the output, the dt.tz_convert() function has successfully converted the timezone of the timestamps in the given series object to the target timezone.