Python | Pandas Index.to_frame()

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_frame() function create a dataFrame from the given index with a column containing the Index. By default, the original Index is reused in the new dataframe. To reinforce a new index for the newly created dataframe, we set the index parameter of the function to be false.

Syntax: Index.to_frame(index=True)

Parameters :
index : Set the index of the returned DataFrame as the original Index.

Returns : DataFrame containing the original Index data.

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

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

Output :

Let’s convert the index into a dataframe.

   # convert the index into a dataframe 
idx.to_frame()

Output :

The function has converted the index into a dataframe. By default the function has created the index of the dataframe using the values of the original Index.

Example #2: Use Index.to_frame() function to convert the index into a dataframe such that the dataframe created uses new index value.

   # importing pandas as pd 
import pandas as pd 
  
# Creating the index 
idx = pd.Index([22, 54, 85, 45, 69, 33]) 
  
# Print the Index 
idx 
 
  

Output :

Let’s convert the index into a dataframe.

   # convert the index into a dataframe 
idx.to_frame(index = False)

Output :

Python | Pandas Index.any()

Shubham__Ranjan

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