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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
Updated on: 13-Oct-2021
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