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Python | Pandas Series.dt.strftime

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  • Difficulty Level : Easy
  • Last Updated : 20 Mar, 2019

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.strftime() function is used to convert to Index using specified date_format. The function return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library.

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

Parameter :
date_format : Date format string (e.g. ā€œ%Y-%m-%dā€)

Returns : Index of formatted strings

Example #1: Use Series.dt.strftime() function to convert the dates in the given series object to the specified date format.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['2012-12-31 08:45', '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)

Output :

Now we will use Series.dt.strftime() function to convert the dates in the given series object to the specified format.




# convert to the given date format
result = sr.dt.strftime('% B % d, % Y, % r')
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.strftime() function has successfully converted the dates in the given series object to the specified format.

Example #2 : Use Series.dt.strftime() function to convert the dates in the given series object to the specified date format.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-31 09:45', periods = 5, freq = 'M',
                            tz = 'Asia / Calcutta'))
  
# 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 Series.dt.strftime() function to convert the dates in the given series object to the specified format.




# convert to the given date format
result = sr.dt.strftime('% d % m % Y, % r')
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.strftime() function has successfully converted the dates in the given series object to the specified format.


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