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.
# importing pandas as pd import pandas as pd
# Creating the Series sr = pd.Series([34, 5, 13, 32, 4, 15])
# Create the Index index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']
# set the index sr.index = index_
# Print the series 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.
# add '_IPL 2019' to each index labels result = sr.add_suffix(suffix = '_IPL 2019')
# Print the result print(result)
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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.
# importing pandas as pd import pandas as pd
# Creating the Series sr = pd.Series([51, 10, 24, 18, 1, 84, 12, 10, 5, 24, 0])
# Create the Index # apply yearly frequency index_ = pd.date_range('2010-10-09 08:45', periods = 11, freq ='Y')
# set the index sr.index = index_
# Print the series print(sr)
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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.
# add '_Date' to each index labels result = sr.add_suffix(suffix = '_Date')
# Print the result print(result)
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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.