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11 sty 2014 · If your json file contains more than one of those: [ {"some data": value, "next key": "another value"}] [ {"2nd record data": value, "2nd record key": "another value"}] then loads () will fail. I verified this with my own file that was failing.
27 lut 2015 · import json def parse_json_stream(stream): decoder = json.JSONDecoder() while stream: obj, idx = decoder.raw_decode(stream) yield obj stream = stream[idx:].lstrip() However, there's also an error in the second JSON object in the stream.
You can solve this error by reformatting your JSON file to contain an array or by reading the JSON file line by line, for example: data = [json.loads(line) for line in open('extra.json','r')] This tutorial will go through the error in detail and how to solve it with code examples.
8 kwi 2024 · The Python "json.decoder.JSONDecodeError: Extra data" occurs when we try to parse multiple objects without wrapping them in an array. To solve the error, wrap the JSON objects in an array or declare a new property that points to an array value that contains the objects.
30 sty 2023 · Python shows json.decoder.JSONDecodeError: Extra data error message when you try to load JSON data with an invalid format. To resolve this error, you need to check your JSON data format. If you have multiple objects, wrap them in a list or read them line by line using a list comprehension syntax.
In this article, we’ve explored the various reasons why you might encounter the JSONDecodeError: Expecting value error when working with JSON data in Python. We’ve also provided solutions to help resolve these errors.
3 lip 2024 · In this tutorial, you'll learn how to read and write JSON-encoded data in Python. You'll begin with practical examples that show how to use Python's built-in "json" module and then move on to learn how to serialize and deserialize custom data.
