If you are reading the data from the Internet instead, the same techniques can generally be used with the response you get from your HTTP API (it will be a file-like object); however, it is …

My Python program receives JSON data, and I need to get bits of information out of it. How can I parse the data and use the result? I think I need to use json.loads for this task, but I can't under...

Sep 27, 2016 · In Python, what is the difference between json.load() and json.loads()? I guess that the load () function must be used with a file object (I need thus to use a context manager) …

You probably don't want to append each result to one list and then process everything if your file is really big. If you have a file containing individual JSON objects with delimiters in-between, …

In my case it occured because i read the data of the file using file.read() and then tried to parse it using json.load(file).I fixed the problem by replacing json.load(file) with json.loads(data)

Sep 20, 2017 · But this crashes at the json.load (f) command because the file f has comments in it. I thought this would be a common problem but I can't find much online RE how to handle it …

Unfortunately, that doesn't work in Python 3. json.load is just a wrapper around json.loads that calls read () for a file-like object. json.loads requires a string object and the output of …

json_object = json.load(raw) You shouldn't think of what you get as a "JSON object". What you have is a list. The list contains two dicts. The dicts contain various key/value pairs, all strings. …

Oct 2, 2015 · What is the difference between json.dumps and json.load? From my understanding, one loads JSON into a dictionary and another loads into objects.

Official documentation json.load - Deserialize fp (a .read ()-supporting text file or binary file containing a JSON document) to a Python object using this conversion table. json.loads - …