Orient JSON by records.

app.py

@@ -11,13 +11,13 @@ api = Api(app)
 class Users(Resource):
     def get(self):
         data = pd.read_csv('users.csv')  # read CSV
-        data = data.to_dict()  # convert dataframe to dictionary
+        data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
         return {'data': data}, 200  # return data and 200 OK code
 
 class Locations(Resource):
     def get(self):
         data = pd.read_csv('locations.csv')  # read CSV
-        data = data.to_dict()  # convert dataframe to dictionary
+        data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
         return {'data': data}, 200  # return data and 200 OK code
 
 # Read some log files
@@ -29,14 +29,13 @@ for file in file_list:
     list_stacked = pd.concat([list_stacked, file1])
 # TODO Can we do this without numpy?
 list_stacked.replace(np.nan, 0, inplace=True)
-
-# TODO do I need to rearrange the data to a different format? I want all the
-# data for one packet (one row) together.
+#print(list_stacked.head())
 
 class Packets(Resource):
     def get(self):
         data = list_stacked
-        data = data.to_dict()  # convert dataframe to dictionary
+        data = data.to_dict(orient = 'records')  # convert dataframe to dictionary
+        #data = data.to_json(orient='records')
         return {'data': data}, 200  # return data and 200 OK code
 
 api.add_resource(Users, '/users')  # '/users' is our entry point for Users