Python | Pandas Series.add_prefix()

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_prefix()

function is used to add prefix to each index labels of the given series object.

Syntax: Series.add_prefix(prefix) Parameter : prefix : The string to add before each label. Returns : Series or DataFrame

Example #1:

Use

Series.add_prefix()

function to add prefix to each index labels in the given series object.

Python3

# 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)

Output :

Coca Cola    34
Sprite        5
Coke         13
Fanta        32
Dew           4
ThumbsUp     15
dtype: int64

Now we will use

Series.add_prefix()

function to add the string label ‘IPL 2019_’ before each index labels in the given series object.

Python3

# add 'IPL 2019_' before each index labels 
result = sr.add_prefix(prefix = 'IPL 2019_') 

# Print the result 
print(result) 

Output :

IPL 2019_Coca Cola    34
IPL 2019_Sprite        5
IPL 2019_Coke         13
IPL 2019_Fanta        32
IPL 2019_Dew           4
IPL 2019_ThumbsUp     15
dtype: int64

As we can see in the output, the

Series.add_prefix()

function has successfully added the passed string label before each index labels in the given series object.  

Example #2 :

Use

Series.add_prefix()

function to add prefix to each index labels in the given series object.

Python3

# 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)

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_prefix()

function to add the string label ‘Date_’ before each index labels in the given series object.

Python3

# add 'Date_' before each index labels 
result = sr.add_prefix(prefix = 'Date_') 

# Print the result 
print(result) 

Output :

Date_2010-12-31 08:45:00    51
Date_2011-12-31 08:45:00    10
Date_2012-12-31 08:45:00    24
Date_2013-12-31 08:45:00    18
Date_2014-12-31 08:45:00     1
Date_2015-12-31 08:45:00    84
Date_2016-12-31 08:45:00    12
Date_2017-12-31 08:45:00    10
Date_2018-12-31 08:45:00     5
Date_2019-12-31 08:45:00    24
Date_2020-12-31 08:45:00     0
dtype: int64

As we can see in the output, the

Series.add_prefix()

function has successfully added the passed string label before each index labels in the given series object.