# import pandas package as pd import pandas as pd # Define a dictionary containing students data data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'], 'Age': [21, 19, 20, 18], 'Stream': ['Math', 'Commerce', 'Arts', 'Biology'], 'Percentage': [88, 92, 95, 70]} # Convert the dictionary into DataFrame df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage']) print("Given Dataframe :\n", df) print("\nIterating over rows using iterrows() method :\n") # iterate through each row and select # 'Name' and 'Age' column respectively. for index, row in df.iterrows(): print (row["Name"], row["Age"])
References
https://www.geeksforgeeks.org/different-ways-to-iterate-over-rows-in-pandas-dataframe/