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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

Inserting if statements using conditional list comprehensions:

x = [1, 2, 3, 4, 5, 6]
result = []
for idx in range(len(x)):
    if x[idx] % 2 == 0:
        result.append(x[idx] * 2)
    else:
        result.append(x[idx])
result

Output:

[1, 4, 3, 8, 5, 12]
[(element * 2 if element % 2 == 0 else element) for element in x]

Output:

[1, 4, 3, 8, 5, 12]
[element * 2 for element in x if element % 2 == 0]

Output:

[4, 8, 12]