Python | Pandas Series.add_suffix()
Last Updated :
28 Feb, 2019
Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.add_suffix()
function is used to add suffix at the end of the index labels in the given series object.
Syntax: Series.add_suffix(suffix)
Parameter :
suffix : The string to add after each label.
Returns : Series or DataFrame
Example #1: Use Series.add_suffix()
function to add suffix at the end of each index labels in the given series object.
import pandas as pd
sr = pd.Series([ 34 , 5 , 13 , 32 , 4 , 15 ])
index_ = [ 'Coca Cola' , 'Sprite' , 'Coke' , 'Fanta' , 'Dew' , 'ThumbsUp' ]
sr.index = index_
print (sr)
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Output :
Coca Cola 34
Sprite 5
Coke 13
Fanta 32
Dew 4
ThumbsUp 15
dtype: int64
Now we will use Series.add_suffix()
function to add the suffix ‘_IPL 2019’ at the end of each index labels in the given series object.
result = sr.add_suffix(suffix = '_IPL 2019' )
print (result)
|
Output :
Coca Cola_IPL 2019 34
Sprite_IPL 2019 5
Coke_IPL 2019 13
Fanta_IPL 2019 32
Dew_IPL 2019 4
ThumbsUp_IPL 2019 15
dtype: int64
As we can see in the output, the Series.add_suffix()
function has successfully added the passed suffix at the end of each index labels in the given series object.
Example #2 : Use Series.add_suffix()
function to add suffix at the end of each index labels in the given series object.
import pandas as pd
sr = pd.Series([ 51 , 10 , 24 , 18 , 1 , 84 , 12 , 10 , 5 , 24 , 0 ])
index_ = pd.date_range( '2010-10-09 08:45' , periods = 11 , freq = 'Y' )
sr.index = index_
print (sr)
|
Output :
2010-12-31 08:45:00 51
2011-12-31 08:45:00 10
2012-12-31 08:45:00 24
2013-12-31 08:45:00 18
2014-12-31 08:45:00 1
2015-12-31 08:45:00 84
2016-12-31 08:45:00 12
2017-12-31 08:45:00 10
2018-12-31 08:45:00 5
2019-12-31 08:45:00 24
2020-12-31 08:45:00 0
Freq: A-DEC, dtype: int64
Now we will use Series.add_suffix()
function to add the suffix ‘_Date’ at the end of each index labels in the given series object.
result = sr.add_suffix(suffix = '_Date' )
print (result)
|
Output :
2010-12-31 08:45:00_Date 51
2011-12-31 08:45:00_Date 10
2012-12-31 08:45:00_Date 24
2013-12-31 08:45:00_Date 18
2014-12-31 08:45:00_Date 1
2015-12-31 08:45:00_Date 84
2016-12-31 08:45:00_Date 12
2017-12-31 08:45:00_Date 10
2018-12-31 08:45:00_Date 5
2019-12-31 08:45:00_Date 24
2020-12-31 08:45:00_Date 0
dtype: int64
As we can see in the output, the Series.add_suffix()
function has successfully added the passed suffix at the end of each index labels in the given series object.
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