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