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  1. 17 paź 2012 · Use the indent= parameter of json.dump() or json.dumps() to specify how many spaces to indent by: >>> import json >>> your_json = '["foo", {"bar": ["baz", null, 1.0, 2]}]' >>> parsed = json.loads(your_json) >>> print(json.dumps(parsed, indent=4)) [ "foo", { "bar": [ "baz", null, 1.0, 2 ] } ]

  2. 6 lis 2012 · First we use json.dumps to get json string has been indented. Example: >>> print(json.dumps({'0':{'1a':{'2a':None,'2b':None},'1b':{'2':None}}}, indent=2)) [0] { [1] "0": { [2] "1a": { [3] "2a": null, [4] "2b": null [5] }, [6] "1b": { [7] "2": null [8] } [9] } [10] }

  3. 14 maj 2021 · The dump() method provides the following arguments to pretty-print JSON data. The indent parameter specifies the spaces that are used at the beginning of a line. The separator argument of a json.dump method you can specify any separator between key and value. The sort_keys to sort JSON data by keys.

  4. 19 sie 2024 · print(pretty_json):: Prints the formatted JSON string to the console. pretty_json = json.dumps(data, indent=4):: Converts the Python object data back into a formatted JSON string using json.dumps(). The indent=4 argument specifies 4 spaces for indentation, improving readability.

  5. 3 lip 2024 · When you call json.dumps() or json.dump() to serialize a Python object, then you can provide the indent argument. Start by trying out json.dumps() with different indentation levels:

  6. 6 sie 2023 · You can use json.load() to load JSON files into Python objects, such as dictionaries. json.load () — JSON encoder and decoder — Python 3.11.4 documentation. Pass a file object, obtained using the built-in open() function, as the first argument. The rest of the usage is similar to json.loads().

  7. 20 cze 2024 · When using json.dump() or json.dumps(), one common exception you might encounter is TypeError: Object of type XYZ is not JSON serializable. This error occurs when you try to serialize an object that is not natively serializable to JSON (e.g., custom objects, complex data structures like sets or datetime objects without custom handling).

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