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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 ] } ]
20 cze 2024 · json.dump(): This function serializes a Python object (like a dict) to a JSON formatted file object. It directly writes JSON-encoded data to a file-like object (e.g., a file opened with open() in write mode). json.dumps(): This function serializes a Python object (like a dict) to a JSON formatted string. It returns a JSON string representation ...
6 lis 2018 · What is the simplest way to pretty-print a string of JSON as a string with indentation when the initial JSON string is formatted without extra spaces or line breaks? Currently I'm running json.loads() and then running json.dumps() with indent=2 on the result.
31 paź 2023 · json.dumps() in Python. First, use json.loads() method to convert JSON String to Python object. To convert this object to a pretty print JSON string, the json.dumps() method is used. Below are examples and steps to better understand these cases. Syntax: json.dumps(obj, indent,separator) Parameter: obj: Serialize obj as a JSON formatted stream
10 wrz 2021 · How to pretty print a JSON object in Python; How to pretty print a JSON file using Python; How to pretty print a JSON file using the pprint module; How to sort keys in a JSON file while pretty printing; How to save a pretty printed JSON object to a file; The Quick Answer: Use json.dumps() to pretty print JSON
19 sie 2024 · Python has two main ways to pretty-print JSON: Using the json module: This is the most common method. You load the JSON data into a Python object. Then you use the json.dumps() function to convert it back to a string, but with indentation. import json. with open ('data.json', 'r') as f: data = json.load(f)
def compact_json_dumps(*sub, **kw): ''' A wrapper of json.dumps support an optional compact_length parameter. compact_length take effects when indent > 0, will return a more compact: indented result, i.e., pretty and compact json dumps. ''' non_space_pattern = re.compile('[^ ]') compact_length = kw.pop('compact_length', None) r = json.dumps ...
