Question

You have a CSV file with columns 'Name', 'Age', and 'City'. You want to read it and create a dictionary where keys are names and values are ages (as integers). Which code snippet correctly does this?

Accepted Answer

import csv
with open('data.csv', 'r') as f:
    reader = csv.DictReader(f)
    result = {row['Name']: int(row['Age']) for row in reader}
print(result)

Answer

import csv
with open('data.csv', 'r') as f:
    reader = csv.reader(f)
    result = {row[0]: int(row[1]) for row in reader}
print(result)

Answer

import csv
with open('data.csv', 'r') as f:
    reader = csv.DictReader(f)
    result = {row['Age']: row['Name'] for row in reader}
print(result)

Answer

import csv
with open('data.csv', 'r') as f:
    reader = csv.reader(f)
    result = {int(row[1]): row[0] for row in reader}
print(result)

You have a CSV file with columns 'Name', 'Age', and 'City'. You want to read it and create a dictionary where keys are names and values are ages (as integers). Which code snippet correctly does this?

Step 1: Use csv.DictReader to access columns by name

Step 2: Create dictionary with names as keys and ages as integer values

Final Answer:

Quick Check:

Want More Practice?