Pandas DataFrame: Iterate over rows in a DataFrame

Last update on December 21 2024 07:41:56 (UTC/GMT +8 hours)

Write a Pandas program to iterate over rows in a DataFrame.

Sample Python dictionary data and list labels:
exam_data = [{'name':'Anastasia', 'score':12.5}, {'name':'Dima','score':9}, {'name':'Katherine','score':16.5}]

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
exam_data = [{'name':'Anastasia', 'score':12.5}, {'name':'Dima','score':9}, {'name':'Katherine','score':16.5}]
df = pd.DataFrame(exam_data)
for index, row in df.iterrows():
    print(row['name'], row['score'])

Sample Output:

Anastasia 12.5                                                         
Dima 9.0                                                               
Katherine 16.5                   

Explanation:

The above code first creates a Pandas DataFrame called ‘df’ using a list of dictionaries containing information about exam scores for three people.

It then iterates over the rows of the DataFrame using the iterrows() method, which returns an iterator yielding index and row data as tuples. For each row, the code prints the values of the name and score columns using print() function.

Python-Pandas Code Editor:

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