Parsing Nested CSV Data with Headers in Python - Missing Fields in Output
I'm getting frustrated with I tried several approaches but none seem to work. After trying multiple solutions online, I still can't figure this out. I'm attempting to parse a nested CSV file that contains headers and initial rows but also has several rows that contain additional nested data. Despite using the `csv` library in Python, I'm encountering issues where certain fields are consistently missing in my output. Here's an example of the CSV format: ```csv id,name,details 1,Alice,"{\"age\": 30, \"city\": \"New York\"}" 2,Bob,"{\"age\": 25, \"city\": \"Los Angeles\"}" 3,Charlie,"{\"age\": 35}" ``` When I try to read this CSV and extract the nested JSON string in the `details` field, I end up with missing values in my output when the JSON object does not contain all expected keys. Here's the code I'm using: ```python import csv import json result = [] with open('data.csv', mode='r', encoding='utf-8') as file: reader = csv.DictReader(file) for row in reader: details = json.loads(row['details']) output = { 'id': row['id'], 'name': row['name'], 'age': details.get('age', 'N/A'), 'city': details.get('city', 'N/A') } result.append(output) ``` When I run this code, the output for Charlie doesn't include the `city` field like I'd expect: ```python [ {'id': '1', 'name': 'Alice', 'age': 30, 'city': 'New York'}, {'id': '2', 'name': 'Bob', 'age': 25, 'city': 'Los Angeles'}, {'id': '3', 'name': 'Charlie', 'age': 35, 'city': 'N/A'} ] ``` Is there a more reliable way to handle this situation where certain keys might be missing in the nested JSON data? Any tips on how to avoid these missing fields would be greatly appreciated! Am I missing something obvious? This is part of a larger API I'm building. I'd really appreciate any guidance on this. I've been using Python for about a year now. What's the correct way to implement this?