![]() This will replace the value of the name key from "John Doe" to "Jane Doe". The only difference is that you use a key that already exists in the JSON object's structure: json_object = "Jane Doe" Updating data is very similar to assigning new data. It will be created if the key does not exist in the object. To do this, you need to access the object and set the new value: json_object = "New York" New data can only be added to a JSON object through key-value pairs. This section will explore various ways to add, update, and delete data within a JSON object. While working with JSON data in Python, it's often necessary to modify the content of a JSON object. This will overwrite the contents of the file data.json with the new data from the json_object object. To create a file and save a JSON object, we will use the dump() command: with open("data.json", "w") as f: The resulting string will be identical to the one we specified in the first example. To convert the data to a string, use the following command: json_string = json.dumps(json_object) Let's use the contents of the json_object variable from the previous example as a JSON object. Converting a Python Object to a JSON String Let's take a look at each of these commands with an example. dumps() can convert Python objects to a string.dump() can convert Python objects to a file.To do this, we can use the following commands: This library simplifies the… JSON Serialization in PythonĪs mentioned earlier, serialization involves converting a JSON object to a string or file. The Google Maps API Python library offers developers an efficient means to harness detailed location data directly from Google Maps. Then, we will update the previous example to read the data from the file: with open("data.json", "r") as f:Īs a result, we got the same data into the json_object variable. To do this, we will create a file called "data.json" and add the JSON code from the previous example. Now, let's look at how to parse a JSON file. To change data in a dictionary, you can also access the data by the key. Here is an example of how to access the data: # Get the name Now, we can work with these data as we would with a regular dictionary. Then, we will use the JSON library to parse the string into a JSON object: json_object = json.loads(json_string) The simplest JSON structure is a single key-value pair, such as: ' ![]() It is used in REST APIs, AJAX, and WebSockets. JSON is a lightweight data-interchange format that is easy for humans and machines to read and write. Whether you use the decode() method, the str() function, or combine both in one step, the goal is to make data easy for us to work with.Illustration of the structure and components of JSON data In this blog, we have learned different ways to convert confusing bytes into a more understandable format called JSON using Python. After that, we'll use another method called json.loads() to turn that string into something called JSON. We will use a method called decode() to change bytes into a readable string. We will walk through different methods step by step, and for each method, Method 1: Using decode() method This blog aims to make this process simple using Python. When working with computer programs, sometimes we encounter data in a confusing form called " bytes." Converting these bytes into something more understandable, like JSON, is a common challenge.
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