I believe you meant to open the file first and then read it into data_processed.

with open("C:\Users\me\Documents\myfile.json") as fp:
    data_processed = json.load(fp)

I have a .json file with keys such as “URL”, “text” (which is very long), “abstract”, “author”, “image” etc. I want to construct an HTML table in Python with all these values, except for the text. I tried it with json2html in these two ways (it worked only for very small examples):

import json
data_processed = json.loads('C:\Users\me\Documents\myfile.json')
formatted_table = json2html.convert(json = data_processed)

But it throws the error:

JSONDecodeError                           Traceback (most recent call last)
<ipython-input-15-b8f0fd5ea78d> in <module>
      1 import json
----> 2 data_processed = json.loads('C:\Users\me\Documents\myfile.json')
      3 formatted_table = json2html.convert(json = data_processed)

~Anaconda3libjson__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
    346             parse_int is None and parse_float is None and
    347             parse_constant is None and object_pairs_hook is None and not kw):
--> 348         return _default_decoder.decode(s)
    349     if cls is None:
    350         cls = JSONDecoder

~Anaconda3libjsondecoder.py in decode(self, s, _w)
    335 
    336         """
--> 337         obj, end = self.raw_decode(s, idx=_w(s, 0).end())
    338         end = _w(s, end).end()
    339         if end != len(s):

~Anaconda3libjsondecoder.py in raw_decode(self, s, idx)
    353             obj, end = self.scan_once(s, idx)
    354         except StopIteration as err:
--> 355             raise JSONDecodeError("Expecting value", s, err.value) from None
    356         return obj, end

JSONDecodeError: Expecting value: line 1 column 1 (char 0)

The other way was:

from json2html import *
input2 = {
        "name": "something",
        "description": "some description"
}
json2html.convert(json = input2)

But I don’t know how to import my file instead of this dictionary.