Pandas Data Series: Change the order of index of a given series

Last update on December 21 2024 07:42:31 (UTC/GMT +8 hours)

Write a Pandas program to change the order of index of a given series.

Sample Solution :

Python Code :

import pandas as pd
s = pd.Series(data = [1,2,3,4,5], index = ['A', 'B', 'C','D','E'])
print("Original Data Series:")
print(s)
s = s.reindex(index = ['B','A','C','D','E'])
print("Data Series after changing the order of index:")
print(s)

Sample Output:

Original Data Series:
A    1
B    2
C    3
D    4
E    5
dtype: int64
Data Series after changing the order of index:
B    2
A    1
C    3
D    4
E    5
dtype: int64                   

Explanation:

In the above exercise -

s = pd.Series(data = [1,2,3,4,5], index = ['A', 'B', 'C','D','E']): This code creates a Pandas Series object 's' containing a sequence of five integer values and assigns custom index labels to each value. The index labels are ['A', 'B', 'C', 'D', 'E'] and the corresponding values are [1, 2, 3, 4, 5].

s = s.reindex(index = ['B','A','C','D','E']); This code creates a new Pandas Series object 's' by reindexing the original Series object 's' based on a new index list ['B', 'A', 'C', 'D', 'E'] using the .reindex() method. The resulting Series object 's' will have the same values as the original Series object 's', but with the index labels in the order specified by the new index list.

Python-Pandas Code Editor:

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