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Python Pandas - Create a DataFrame from original index but enforce a new index
To create a DataFrame from original index but enforce a new index, use the index.to_frame(). Set the parameter index to False.
At first, import the required libraries −
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)
Enforce new index and convert index to DataFrame. Here, the actual index gets replaced by another index −
print("\nIndex to DataFrame...\n",index.to_frame(index=False))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)
# Enforce new index and convert index to DataFrame
# Here, the actual index gets replaced by another index
print("\nIndex to DataFrame...\n",index.to_frame(index=False))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 DataFrame... Products 0 Electronics 1 Accessories 2 Decor 3 Books 4 Toys
Updated on: 13-Oct-2021
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