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 …

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 - …

Oct 3, 2014 · Beside that, the code is passing file object, while json.loads accept a string. Pass a file content: json_data = json.loads(json_file.read()) or use json.load which accepts file-like …

Jan 13, 2018 · I kept following JSON in the S3 bucket test: { 'Details': "Something" } I am using the following code to read this JSON and printing the key Details: s3 = boto3.resource('s3', ...

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 …

Feb 17, 2019 · A JSON file can't store multiple items without them being in a top-level object -- that's the whole point of having the JSONL format at all. – Charles Duffy Commented May 22, …

What you get from the url is a json string. And your can't parse it with index directly. You should convert it to a dict by json.loads and then you can parse it with index. Instead of using .read() …

Feb 5, 2018 · I am using python 3.6 and trying to download json file (350 MB) as pandas dataframe using the code below ...

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 …

Jul 9, 2020 · open the file, read it in as a string, perform json.loads() on that string? As per the answers and some reading into the documentation, json.load() will allow for a file-like object …