adjusted formatting

Author: dickreuter

pandas/io/json.py

@@ -747,7 +747,6 @@ def json_normalize(data, record_path=None, meta=None,
         always present
         * raise: will raise KeyError if keys listed in meta are not
         always present
-        
         .. versionadded:: 0.20.0
 
     Returns
@@ -854,8 +853,10 @@ def _recursive_extract(data, path, seen_meta, level=0):
                             if errors == 'ignore':
                                 meta_val = np.nan
                             else:
-                                raise KeyError("Try running with errors='ignore'"
-                                               "as key %s is not always present.", e)
+                                raise \
+                                    KeyError("Try running with "
+                                             "errors='ignore' as key "
+                                             "%s is not always present", e)
                     meta_vals[key].append(meta_val)
 
                 records.extend(recs)

pandas/io/tests/json/test_json_norm.py

@@ -225,7 +225,6 @@ def test_nested_flattens(self):
 
         self.assertEqual(result, expected)
 
-
     def test_json_normalize_errors(self):
         # GH14583: If meta keys are not always present
         # a new option to set errors='ignore' has been implemented
@@ -263,20 +262,24 @@ def test_json_normalize_errors(self):
             }
             ]
         }
-        j = json_normalize(data=i['Trades'], record_path=[['general', 'stocks']],
-                           meta=[['general', 'tradeid'], ['general', 'trade_version']],
+        j = json_normalize(data=i['Trades'],
+                           record_path=[['general', 'stocks']],
+                           meta=[['general', 'tradeid'],
+                                 ['general', 'trade_version']],
                            errors='ignore')
-        expected={'general.trade_version': {0: 1.0, 1: 1.0, 2: '', 3: ''},
-         'general.tradeid': {0: 100, 1: 100, 2: 100, 3: 100},
-         'name': {0: 'Apple', 1: 'Google', 2: 'Apple', 3: 'Google'},
-         'price': {0: '0', 1: '0', 2: '0', 3: '0'},
-         'symbol': {0: 'AAPL', 1: 'GOOG', 2: 'AAPL', 3: 'GOOG'}}
+        expected = {'general.trade_version': {0: 1.0, 1: 1.0, 2: '', 3: ''},
+                    'general.tradeid': {0: 100, 1: 100, 2: 100, 3: 100},
+                    'name': {0: 'Apple', 1: 'Google', 2: 'Apple', 3: 'Google'},
+                    'price': {0: '0', 1: '0', 2: '0', 3: '0'},
+                    'symbol': {0: 'AAPL', 1: 'GOOG', 2: 'AAPL', 3: 'GOOG'}}
 
         self.assertEqual(j.fillna('').to_dict(), expected)
 
         self.assertRaises(KeyError,
-                json_normalize, data=i['Trades'], record_path=[['general', 'stocks']],
-                           meta=[['general', 'tradeid'], ['general', 'trade_version']],
+                          json_normalize, data=i['Trades'],
+                          record_path=[['general', 'stocks']],
+                          meta=[['general', 'tradeid'],
+                                ['general', 'trade_version']],
                           errors='raise'
                           )