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This .json file contains record from ECG machine. The file format looks like this:

[-0.140625,-0.15234375,-0.15234375,...,-0.19335937499999997,0 ]

However, when I try to use this code, it shows an error

def load_tester(path):
  dataset = '{"fruits": }'
  data = json.loads(path)
  print(data)
  return(np.asarray(nt))

this is the error: 

raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

I want to save that file into numpy array and become as same as the format that the json uses.

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1
  • I do not think an ndarray can be saved into a json file, as it is. You could convert it to a list using my_array.tolist() and then store it to json. Commented Jul 25, 2018 at 13:23

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11

You are trying to load json usign a file name, but not data that is in the file

def load_tester(path):
    with open(path) as f:
        data = json.load(f)
    print(data)
    return np.asarray(data)
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6 Comments

it can be either json.load(f) or json.loads(f.read()). Load accepts file like object, loads accepts str or bytes
tried it , it shows: TypeError: expected string or buffer
Can you show how do you run it, please? The question mentions a json file (I assumed path is a file path to this file) with content being a list of floats. I tested it with load_tester('x.json') where x.json is a local file
"import json with open("package.json") as f: json.loads(f)"
Please read my comment about load/loads again. Just use load in your code and you will be fine. Atm you're trying to loads (that expects a string) but giving a file object as input
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