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.
import pandas as pd
idx = pd.Index([ 'Alice' , 'Bob' , 'Rachel' , 'Tyler' ,
'Louis' ], name = 'Winners' )
idx
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Output :
Let’s convert the index into a dataframe.
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.
import pandas as pd
idx = pd.Index([ 22 , 54 , 85 , 45 , 69 , 33 ])
idx
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Output :
Let’s convert the index into a dataframe.
idx.to_frame(index = False )
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Output :
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