Python | Pandas Index.to_series()

Last Updated : 24 Dec, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Index.to_series() function create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index. It is possible to set a new index label for the newly created Series by passing the list of new index labels.

Syntax: Index.to_series(index=None, name=None) Parameters : index : index of resulting Series. If None, defaults to original index name : name of resulting Series. If None, defaults to name of original index Returns : Series : dtype will be based on the type of the Index values.

Example #1: Use Index.to_series() function to convert the index into a Series.

Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['Harry', 'Mike', 'Arther', 'Nick'],
                                   name ='Student')

# Print the Index
print(idx)

Output :

Let's convert the index into a Series.

Python3

# convert the index into a series
idx.to_series()

Output :

The function has converted the index into a series. By default, the function has created the index of the series using the values of the original Index. Example #2: Use Index.to_series() function to convert the index into a series such that the series created uses new index value.

Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['Alice', 'Bob', 'Rachel', 'Tyler', 'Louis'],
                                            name ='Winners')

# Print the Index
print(idx)

Output :

Let's convert the index into a series.

Python3

# convert the index into a series
idx.to_series(index =['Student 1', 'Student 2', 'Student 3',
                                  'Student 4', 'Student 5'])