How to fix ```ValueError: Trailing data``` during ```pandas.read_json(...)```?

Question

I'm trying to read a JSON file into a Pandas dataframe, in the following:

def read_JSON_into_dataframe( file_name ):
    with sys.stdin if file_name is None else open( file_name, "r", encoding='utf8', errors='ignore' ) as reader:
        df = pd.read_json( reader )
        print( df.describe(), file = sys.stderr )
        return df

However, I'm getting an error, for which to bottom stack frame is:

C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\json\json.py in _parse_no_numpy(self)
    869         if orient == "columns":
    870             self.obj = DataFrame(
--> 871                 loads(json, precise_float=self.precise_float), dtype=None)
    872         elif orient == "split":
    873             decoded = {str(k): v for k, v in compat.iteritems(

ValueError: Trailing data

What does "trailing data" refer to? If it refers to some point in the JSON file, is there something I can do to figure out where that is and what's wrong with it?

Answer 1

df = pd.read_json ("filename.json", lines = True)