New_string = json.dumps(data, sort_keys=True, indent=3) Let’s look at the below example where I have passed two parameters ‘sort_keys’ that always returns a boolean True value and ‘indent’ spaces. Pretty Printing takes care of the code alignment and makes it in a human-readable format. Loads() – Converts an object of JSON string into a Python object Pretty Printing: Load() – Converts the JSON file into a Python object Pythonĭump() – Converts the data to a JSON fileĭumps() – Converts the data to a JSON string Given below is a table illustrating the Python datatypes getting converted to their respective JSON type. To handle the data flow in a file, the JSON library in Python uses a dump() and dumps() method, that does the conversion and makes it easy to write data into files. It converts the given Python data structure(ex:dict) into its valid JSON object. Serializing JSON simply means that you are encoding JSON. Moving ahead, let us see how you can serialize JSON in Python. The below-implemented code loads my JSON file into the DataFrame.
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