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

Linda Hamilton
Release: 2024-12-20 02:49:09
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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"
    }
}
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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)
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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
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