Python Pandas | Adding new column to existing DataFrame by using Dataframe.assign()

Example:

# Importing pandas package 
import pandas as pd 
   
# Dictionary having students data
students = {'Name':['Alvin', 'Alex', 'Peter'],
'Age':[21, 22, 19]} 
   
# Convert the dictionary into DataFrame  
dataframe = pd.DataFrame(students) 

# Print the data before adding column
print("Data before adding column...")
print(dataframe)
print()

# Add a column course using DataFrame.insert()
dataframe1 = dataframe.assign(Course = ['B.Tech', 'MCA', 'B.E.'])
 
# Print the data after adding column
print("Data after adding column (new/updated DataFrame)...")
print(dataframe1)
print()

Output:

Data before adding column...
    Name  Age
0  Alvin   21
1   Alex   22
2  Peter   19

Data after adding column (new/updated DataFrame)...
    Name  Age  Course
0  Alvin   21  B.Tech
1   Alex   22     MCA
2  Peter   19    B.E.