How to Convert Dataframe column into an index in Python-Pandas?
Last Updated :
21 Jul, 2021
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Pandas provide a convenient way to handle data and its transformation. Let's see how can we convert a data frame column to row name or index in Pandas.
Create a dataframe first with dict of lists.
# 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)
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 or 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:
