Home >Backend Development >Python Tutorial >How to Correctly Parse JSON Data with Incorrect Array Definitions in Python?

How to Correctly Parse JSON Data with Incorrect Array Definitions in Python?

Linda Hamilton
Linda HamiltonOriginal
2024-12-20 02:49:09394browse

How to Correctly Parse JSON Data with Incorrect Array Definitions in Python?

Addressing the JSON Parsing Issue

The provided JSON data fails to parse due to improper syntax. In particular, the "masks" and "parameters" elements are defined as arrays instead of objects, which violates JSON formatting guidelines. These arrays should be replaced with objects enclosed in curly braces {}.

Correct JSON Format

{
    "maps": [
        {
            "id": "blabla",
            "iscategorical": "0"
        },
        {
            "id": "blabla",
            "iscategorical": "0"
        }
    ],
    "masks": {
        "id": "valore"
    },
    "om_points": "value",
    "parameters": {
        "id": "valore"
    }
}

Updated Python Script

With the corrected JSON format, the Python script can now parse the data successfully:

import json
from pprint import pprint

with open('data.json') as f:
    data = json.load(f)

pprint(data)

Extracting JSON Values

Once the data is parsed, you can access and extract its values using the following format:

data["maps"][0]["id"]  # Retrieves the "id" value of the first map
data["masks"]["id"]  # Retrieves the "id" value of the masks object
data["om_points"]  # Retrieves the "om_points" value

The above is the detailed content of How to Correctly Parse JSON Data with Incorrect Array Definitions in Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn