fixes and docstring

python/pyarrow/_json.pyx

@@ -153,6 +153,26 @@ cdef _get_parse_options(ParseOptions parse_options, CJSONParseOptions* out):
 
 def read_json(input_file, read_options=None, parse_options=None,
               MemoryPool memory_pool=None):
+    """
+    Read a Table from a stream of JSON data.
+
+    Parameters
+    ----------
+    input_file: string, path or file-like object
+        The location of JSON data.
+    read_options: ReadOptions, optional
+        Options for the JSON reader (see ReadOptions constructor for defaults)
+    parse_options: ParseOptions, optional
+        Options for the JSON parser
+        (see ParseOptions constructor for defaults)
+    memory_pool: MemoryPool, optional
+        Pool to allocate Table memory from
+
+    Returns
+    -------
+    :class:`pyarrow.Table`
+        Contents of the JSON file as a in-memory table.
+    """
     cdef:
         shared_ptr[InputStream] stream
         CJSONReadOptions c_read_options

python/pyarrow/tests/test_json.py

@@ -23,6 +23,7 @@ import pytest
 import pyarrow as pa
 from pyarrow.json import read_json, ReadOptions, ParseOptions
 
+
 def test_read_options():
     cls = ReadOptions
     opts = cls()
@@ -90,7 +91,8 @@ class BaseTestCSVRead:
 
     def test_simple_varied(self):
         # Infer various kinds of data
-        rows = b'{"a": 1,"b": 2, "c": "3", "d": false}\n{"a": 4.0, "b": -5, "c": "foo", "d": true}\n'
+        rows = (b'{"a": 1,"b": 2, "c": "3", "d": false}\n'
+                b'{"a": 4.0, "b": -5, "c": "foo", "d": true}\n')
         table = self.read_bytes(rows)
         schema = pa.schema([('a', pa.float64()),
                             ('b', pa.int64()),