Error reading a JSON file into Pandas - json

Question

I am trying to read a JSON file into Pandas. It's a relatively large file (41k records) mostly text.
{"sanders": [{"date": "February 8, 2016 Monday", "source": "Federal News
Service", "subsource": "MSNBC \"MSNBC Live\" Interview with Sen. Bernie
Sanders (I-VT), Democratic", "quotes": ["Well, it's not very progressive to
take millions of dollars from Wall Street as well.", "That's a very good
question, and I wish I could give her a definitive answer. QUOTE SHORTENED FOR
SPACE"]}, {"date": "February 7, 2016 Sunday", "source": "CBS News Transcripts", "subsource": "SHOW: CBS FACE THE NATION 10:30 AM EST", "quotes":
["Well, John -- John, I think that`s a media narrative that goes around and
around and around. I don`t accept that media narrative.", "Well, that`s what
she said about Barack Obama in 2008. "]},
I tried:
quotes = pd.read_json("/quotes.json")
I expected it to read in cleanly because it was file created in python. However, I got this error:
ValueError Traceback (most recent call last)
<ipython-input-19-c1acfdf0dbc6> in <module>()
----> 1 quotes = pd.read_json("/Users/kate/Documents/99Antennas/Client\
Files/Fusion/data/quotes.json")
/Users/kate/venv/lib/python2.7/site-packages/pandas/io/json.pyc in
read_json(path_or_buf, orient, typ, dtype, convert_axes, convert_dates,
keep_default_dates, numpy, precise_float, date_unit)
208 obj = FrameParser(json, orient, dtype, convert_axes,
convert_dates,
209 keep_default_dates, numpy, precise_float,
--> 210 date_unit).parse()
211
212 if typ == 'series' or obj is None:
/Users/kate/venv/lib/python2.7/site-packages/pandas/io/json.pyc in parse(self)
276
277 else:
--> 278 self._parse_no_numpy()
279
280 if self.obj is None:
/Users/kate/venv/lib/python2.7/site-packages/pandas/io/json.pyc in _
parse_no_numpy(self)
493 if orient == "columns":
494 self.obj = DataFrame(
--> 495 loads(json, precise_float=self.precise_float),
dtype=None)
496 elif orient == "split":
497 decoded = dict((str(k), v)
ValueError: Expected object or value
After reading the documentation and stackoverflow, I also tried adding convert_dates=False to the parameters, but that did not correct the problem. I would welcome suggestions as to how to handle this error.

Answer 1

Try removing the forward slash in the filename. If you run this python code from the same directory where the file is sitting, it should work.
quotes = pd.read_json("quotes.json")

Answer 2

SPKoder mentioned the forward slash. I was looking for an answer when I realized I hadn't added a / when combing filename and path (i.e. c:/path/herefile.json, instead of c:/path/here/file.json). Anyways the error I received was ...
ValueError: Expected object or value
Not a very intuitive error message, but that is what causes it.