Pandas DataFrame: Iterate over rows in a DataFrame

Pandas: DataFrame Exercise-21 with Solution

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                   

Python-Pandas Code Editor:

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Python: Tips of the Day

Join Strings in an Iterable:

>>> words = ('Hello', 'Python', 'Programmers')
>>> '!'.join(words)
>>> words_dict = {0: 'zero', 1: 'one', 2: 'two', 3: 'three'}
>>> '&'.join(words_dict.values())