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Convert a column to row name/index in Pandas
  • Last Updated : 16 Dec, 2018

Pandas provides a convenient way to handle data and its transformation. Let’s see how can we convert a column to row name/index in Pandas.

Create a dataframe first with dict of lists.




# imporing pandas as pd
import pandas as pd
  
# Creating a dict of lists 
data = {'Name':["Akash", "Geeku", "Pankaj", "Sumitra","Ramlal"],
       'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
       'Score':["80","90","60", "30", "50"],
       'Result': ["Pass","Pass","Pass","Fail","Fail"]}
  
# creating a dataframe 
df = pd.DataFrame(data)
   
df


Output:

Method #1: Using set_index() method.




# importing pandas as pd
import pandas as pd
  
# Creating a dict of lists
data = {'Name':["Akash", "Geeku", "Pankaj", "Sumitra","Ramlal"],
       'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
       'Score':["80","90","60", "30", "50"],
       'Result': ["Pass","Pass","Pass","Fail","Fail"]}
  
# Creating a dataframe
df = pd.DataFrame(data)
  
# Using set_index() method on 'Name' column
df = df.set_index('Name')
  
df


Output:



Now, set index name as None.




# set the index to 'None' via its name property
df.index.names = [None]
  
df


Output:

 

Method #2: Using pivot() method.

In order to convert a column to row name/index in dataframe, Pandas has a built-in function Pivot.

Now, let’s say we want Result to be the rows/index, and columns be name in our dataframe, to achieve this pandas has provided a method called Pivot. Let us see how it works,




# importing pandas as pd
import pandas as pd
  
# Creating a dict of lists
data = {'name':["Akash", "Geeku", "Pankaj", "Sumitra", "Ramlal"],
       'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
       'Score':["80", "90", "60", "30", "50"],
       'Result': ["Pass", "Pass", "Pass", "Fail", "Fail"]}
  
df = pd.DataFrame(data)
  
# pivoting the dataframe
df.pivot(index ='Result', columns ='name')
  
df


Output:

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