class_docstr: JsonReader provides an interface for reading in a JSON file.
  
  If initialized with ``lines=True`` and ``chunksize``, can be iterated over
  ``chunksize`` lines at a time. Otherwise, calling ``read`` reads in the
  whole document.
class_docstr_tok: ["JsonReader","provides","an","interface","for","reading","in","a","JSON","file",".","If","initialized","with","``","lines=True","``","and","``","chunksize","``",",","can","be","iterated","over","``","chunksize","``","lines","at","a","time",".","Otherwise",",","calling","``","read","``","reads","in","the","whole","document","."]
code: def __next__(self):
      lines = list(islice(self.data, self.chunksize))
      if lines:
          lines_json = self._combine_lines(lines)
          obj = self._get_object_parser(lines_json)
  
          # Make sure that the returned objects have the right index.
          obj.index = range(self.nrows_seen, self.nrows_seen + len(obj))
          self.nrows_seen += len(obj)
  
          return obj
  
      self.close()
      raise StopIteration
  
imports: from itertools import islice
  import os
  import numpy
  import pandas._libs.json
  from pandas._libs.tslibs import iNaT
  from pandas.compat import StringIO, long, to_str, u
  from pandas.errors import AbstractMethodError
  from pandas.core.dtypes.common import is_period_dtype
  from pandas import DataFrame, MultiIndex, Series, compat, isna, to_datetime
  from pandas.core.reshape.concat import concat
  from pandas.io.common import BaseIterator, _get_handle, _infer_compression, _stringify_path, get_filepath_or_buffer
  from pandas.io.formats.printing import pprint_thing
  from pandas.io.parsers import _validate_integer
  from .normalize import _convert_to_line_delimits
  from .table_schema import build_table_schema, parse_table_schema
label_desc: Use image node_id 8 for calling the JsonReader obj's underlying member method code with example usage: obj.__next__() and returns: obj