See also: Reading JSON from a file. Occasionally, a JSON document is intended to represent tabular data. If you have something like this and are trying to use it with Pandas, see Python - How to convert JSON File to Dataframe. Some data …

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 heavily recommended to use the third-party Requests library instead, …

Jul 26, 2019 · In case you are using pandas and you will be interested in loading the json file as a dataframe, you can use: import pandas as pd df = pd.read_json('file.json', lines=True) And to convert it into a json array, you can use: df.to_json('new_file.json')

May 10, 2016 · I want to convert JSON data into a Python object. I receive JSON data objects from the Facebook API, which I want to store in my database. My current View in Django (Python) (request.POST contains the JSON): response = request.POST user = FbApiUser(user_id = response['id']) user.name = response['name'] user.username = response['username'] user ...

If you want to get values from a JSON document, then open the file first and pass the file handle to json.load() instead. Depending on the document structure, json.load() would return dictionary or list, just like json.loads() .

Oct 30, 2021 · @dataclass class Account(object): email: str password: str name: str salary: int @classmethod def from_json(cls, json_key): file = json.load(open("1.txt")) keys = [f.name for f in fields(cls)] # or: keys = cls.__dataclass_fields__.keys() json_data = file[json_key] normal_json_data = {key: json_data[key] for key in json_data if key in keys ...

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 urllib.urlopen(url).read() is a bytes object. So one has to get the file encoding in order to make it work in Python 3.

Dec 16, 2021 · It's much easier to work with single line commands in a batch script. Multi line Python statements that require Python indentation are difficult to integrate into scripts using pipes and redirects without having to put the Python statements into a separate file as a Python script. –

Aug 4, 2016 · Assuming you are dealing with a JSON-string in the input, you can parse it using the json package, see the documentation. In the specific example you posted you would need

I have a file that contains an array of JSON objects. The file is over 1GB, so I can't load it into memory all at once. I need to parse each of the individual objects. I tried using ijson, but that will load the entire array as one object, effectively doing the same thing as a simple json.load() would. Is there another way how to do it?