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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 · The easiest way to parse a stream of JSON objects in Python is to use the raw_decode method. Something like this:* import json def parse_json_stream(stream): decoder = json.JSONDecoder() while stream: obj, idx = decoder.raw_decode(stream) yield obj stream = stream[idx:].lstrip()
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.
19 paź 2023 · The ‘ValueError: Extra data’ exception is raised when the json.loads function encounters additional data after parsing the expected JSON structure. This additional data can be in the form of extra keys, values, or even nested objects that are not part of the original JSON structure.
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.
12 lut 2023 · In this tutorial, we'll see how to solve a common Pandas error – ValueError: Trailing data. We get this error from the Pandas read_json() method when we try to load a JSON or JSON lines file. To fix ValueError: Trailing data we can try: (1) Add parameter - lines=True
