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Add column names to dataframe in Pandas

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  • Difficulty Level : Medium
  • Last Updated : 01 Aug, 2020

Let us how to add names to DataFrame columns in Pandas.

Creating the DataFrame :




# importing the pandas library
import pandas as pd
  
# creating lists
l1 =["Amar", "Barsha", "Carlos", "Tanmay", "Misbah"]
l2 =["Alpha", "Bravo", "Charlie", "Tango", "Mike"]
l3 =[23, 25, 22, 27, 29]
l4 =[69, 54, 73, 70, 74]
  
# creating the DataFrame
team = pd.DataFrame(list(zip(l1, l2, l3, l4))) 
  
# displaying the DataFrame
print(team)

Output :

Here we can see that the columns in the DataFrame are unnamed.

Adding column name to the DataFrame : We can add columns to an existing DataFrame using its columns attribute.




# adding column name to the respective columns
team.columns =['Name', 'Code', 'Age', 'Weight']
  
# displaying the DataFrame
print(team)

 
Output :

Now the DataFrame has column names.

Renaming column name of a DataFrame : We can rename the columns of a DataFrame by using the rename() function.




# reanming the DataFrame columns
team.rename(columns = {'Code':'Code-Name'
                       'Weight':'Weight in kgs'}, 
            inplace = True)
  
# displaying the DataFrame
print(team)

Output :

We can see the names of the columns have been changed.


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