Python Pandas - Create a Series with both the original index and name

To create a Series with both the original index and name, use the index.to_series() method in Pandas. At first, import the required libraries -

import pandas as pd

Creating Pandas index:

index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'],name ='Products')

Convert index to series −

print("\nIndex to series...\n",index.to_series())

Example

Following is the code −

import pandas as pd

# Creating Pandas index
index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'],name ='Products')

# Display the Pandas index
print("Pandas Index...\n",index)

# Return the number of elements in the Index
print("\nNumber of elements in the index...\n",index.size)

# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)

# convert index to series
print("\nIndex to series...\n",index.to_series())

Output

This will produce the following output −

Pandas Index...
Index(['Electronics', 'Accessories', 'Decor', 'Books', 'Toys'], dtype='object', name='Products')

Number of elements in the index...
5

The dtype object...
object

Index to series...
Products
Electronics  Electronics
Accessories  Accessories
Decor              Decor
Books              Books
Toys                Toys
Name: Products, dtype: object