Fix JSON orient='table' issues for numeric column names (pandas-dev#19129) (pandas-dev#22525)

Author: Albert Villanova del Moral

pandas/io/json/json.py

@@ -211,7 +211,7 @@ def __init__(self, obj, orient, date_format, double_precision,
         else:
             self.obj = obj.reset_index(drop=False)
         self.date_format = 'iso'
-        self.orient = 'records'
+        self.orient = 'values'
         self.index = index
 
     def _write(self, obj, orient, double_precision, ensure_ascii,
@@ -221,6 +221,11 @@ def _write(self, obj, orient, double_precision, ensure_ascii,
                                                    ensure_ascii, date_unit,
                                                    iso_dates,
                                                    default_handler)
+        # add column names
+        column_names = dumps(obj.columns)
+        if len(data) > 2:
+            column_names = column_names + ','
+        data = data[0] + column_names + data[1:]
         serialized = '{{"schema": {schema}, "data": {data}}}'.format(
                      schema=dumps(self.schema), data=data)
         return serialized

pandas/io/json/table_schema.py

@@ -296,8 +296,8 @@ def parse_table_schema(json, precise_float):
     pandas.read_json
     """
     table = loads(json, precise_float=precise_float)
-    col_order = [field['name'] for field in table['schema']['fields']]
-    df = DataFrame(table['data'], columns=col_order)[col_order]
+    col_order = table['data'][0]
+    df = DataFrame(table['data'][1:], columns=col_order)[col_order]
 
     dtypes = {field['name']: convert_json_field_to_pandas_type(field)
               for field in table['schema']['fields']}
@@ -322,5 +322,6 @@ def parse_table_schema(json, precise_float):
         else:
             df.index.names = [None if x.startswith('level_') else x for x in
                               df.index.names]
+        df.columns = df.columns.values.tolist()
 
     return df