minor fixups

Author: louispotok

doc/source/io.rst

@@ -2064,6 +2064,7 @@ For line-delimited json files, pandas can also return an iterator which reads in
   df
   df.to_json(orient='records', lines=True)
 
+  # reader is an iterator that returns `chunksize` lines each iteration
   reader = pd.read_json(StringIO(jsonl), lines=True, chunksize=1)
   reader
   for chunk in reader:

pandas/io/json/json.py

@@ -432,7 +432,7 @@ def _get_data_from_filepath(self, filepath_or_buffer):
 
         return data
 
-    def combine_lines(self, lines):
+    def _combine_lines(self, lines):
         """Combines a list of JSON objects into one JSON object"""
         lines = filter(None, map(lambda x: x.strip(), lines))
         return '[' + ','.join(lines) + ']'
@@ -443,7 +443,7 @@ def read(self):
             obj = concat(self)
         elif self.lines:
             obj = self._get_object_parser(
-                self.combine_lines(self.data.split('\n'))
+                self._combine_lines(self.data.split('\n'))
             )
         else:
             obj = self._get_object_parser(self.data)
@@ -486,7 +486,7 @@ def close(self):
     def __next__(self):
         lines = list(islice(self.data, self.chunksize))
         if lines:
-            lines_json = self.combine_lines(lines)
+            lines_json = self._combine_lines(lines)
             obj = self._get_object_parser(lines_json)
 
             # Make sure that the returned objects have the right index.