By default, the int() function is called with the strings containing integers in the JSON. The parse_int parameter is used to convert any integer in the JSON to another data type.This parameter can be used if you want to convert the floats to ints or other data types while loading the JSON itself. If we specify a function in the parse_float parameter, the decoder passes the string containing a floating point number to the function and the output of the function is used in the python object. By default, the float() function is called with the strings containing floating point numbers in the JSON while decoding. The parse_float parameter is used to convert any floating point number in the JSON to another data type.In the output, the return value of the function is used instead of the dict. The function is called with the object literal decoded from the JSON. The object_hook parameter takes a function as its input argument. The object_hook parameter is used to create custom JSON decoders.The JSONDecoder class constructor has the following syntax class json.JSONDecoder(*, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, strict=True, object_pairs_hook=None) JSON File to Python Object Using JSONDecoder Class You might also like this article on clustering mixed data types in Python. Suggested Reading: If you are into machine learning, you can read this article on mlops for beginners.
Instead of using the load() method and the loads() method, we can also create a decoder using the JSONDecoder class to convert JSON objects into python objects. The only difference is that it reads the JSON object from a string instead of a file. You can observe that the loads() method works in a similar manner to the load() method. Python_obj=json.loads(jsonStr,object_hook=SimpleDecoderFunction) To convert a JSON string to a python object using the loads() method, you can use a custom JSON decoder function and the object_hook parameter as shown below. The loads() method takes a JSON string as its input argument and returns a python dictionary as shown in the following example. If you have a JSON string instead of a JSON file, you can convert it into a python object using the loads() method. Json String to Python Object Using loads() Method The SimpleDecoderFunction() takes the dictionary and converts it into a python object of the Student class that we get as the output of the load() method. When we pass the SimpleDecoderFunction() to the load() method while decoding a JSON object, the created python dictionary object is first sent to the SimpleDecoderFunction(). We have also defined a SimpleDecoderFunction() function. In the above example, we have defined a Student class. Python_obj=json.load(fp,object_hook=SimpleDecoderFunction) You can observe this in the following example.
We will pass the function to the object_hook parameter in the load() method while encoding the JSON file. For this, we will create a function that takes the dictionary returned by the load() method and converts it into a python object. If you want to get a python object instead of the dictionary, we need to create a custom JSON decoder. When we convert this file to a python object using the load() method, we get a python dictionary as shown in the following example. For instance, we have the following JSON file. The load() method takes a file pointer to a JSON file and returns a python dictionary object. JSON File to Python Object Using the load() Method
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