diff --git a/dataacquisition/ExportToDatabase.py b/dataacquisition/ExportToDatabase.py
index eaa5bb647968bf0de8285f9ed4034ae1885a7101..127698ffa41a3dee6a50fff4b67edaddcccc456f 100644
--- a/dataacquisition/ExportToDatabase.py
+++ b/dataacquisition/ExportToDatabase.py
@@ -91,7 +91,7 @@ def create_table(station_list, db_name):
 def insert_empty_matrix_into_db():
     with psycopg2.connect(database=param_postgres['dbName'], user=param_postgres["user"], password=param_postgres["password"], host=param_postgres["host"], port=param_postgres["port"]) as connection:
         with connection.cursor() as cursor:
-            with open('clipped_matrix_10x10.csv', 'r') as matrix:
+            with open('clipped_matrix_25x25.csv', 'r') as matrix:
                 matrix_data = matrix.readlines()
                 for line in matrix_data[1:]:
                     values = ''  # Used in second parameter of cursor.execute() (Avoids SQL injection)
@@ -121,13 +121,11 @@ def create_matrix_data():
                 id = point[0]
                 lon = point[1]
                 lat = point[2]
-                print(lat, lon)
                 interpolation_data = get_interpolation_data_for_point(lat, lon, sql.SQL('*'))
 
                 for year, value in interpolation_data.items():
                     update_data.append({'year': year, 'value': value, 'id': id})
 
-            print(update_data)
             query = sql.SQL("""UPDATE stations SET "%(year)s" = %(value)s WHERE id = %(id)s; """)
             psycopg2.extras.execute_batch(cursor, query, update_data)   # 2 times faster than using execute() in a for loop, ~20 mins instead of 40
 
diff --git a/dataacquisition/GetAverageData.py b/dataacquisition/GetAverageData.py
index b1100f5050cd06d91c7d451398877a504986b181..9f3871729ce29cd1915a61167dfcb4420d5eed2e 100644
--- a/dataacquisition/GetAverageData.py
+++ b/dataacquisition/GetAverageData.py
@@ -31,7 +31,7 @@ def get_neighbours(cursor, lat, lon, columns):
 
     query = sql.SQL("""
                 SELECT array_to_json(array_agg(row_to_json(t))) from (
-                    SELECT {columns}, ST_Distance(ST_MakePoint(lon, lat), ST_MakePoint({lon}, {lat})) AS distance 
+                    SELECT {columns}, ST_Distance(ST_MakePoint(lat, lon), ST_MakePoint({lon}, {lat})) AS distance 
                     FROM stations 
                     WHERE file IS NOT NULL 
                     ORDER BY distance 
diff --git a/dataacquisition/sandbox.py b/dataacquisition/sandbox.py
index e47664cd2ff8a285a5989ee56b86e97a4216ffe0..1cb8907a5b42369202f8951ff226699337757b67 100644
--- a/dataacquisition/sandbox.py
+++ b/dataacquisition/sandbox.py
@@ -1,5 +1,14 @@
-# import psycopg2
-# from psycopg2 import sql
+import configparser
+
+import psycopg2
+from psycopg2 import sql
+cfg = configparser.ConfigParser()
+cfg.read('config.ini')
+
+assert "POSTGRES" in cfg, "missing POSTGRES in config.ini"
+
+param_postgres = cfg["POSTGRES"]
+param_interpol = cfg["INTERPOLATION"]
 #
 # query = sql.SQL("select {0} from {1} where {2} LIKE {3} {4}").format(sql.SQL(', ').join([sql.Identifier('foo'), sql.Identifier('bar')]), sql.Identifier('table'), sql.Identifier('coulumn'), sql.Placeholder(),
 #                                                                      sql.SQL('AND 1 = 1'))
@@ -20,8 +29,30 @@
 # list_b = [x * 2 for x in list_a if x % 2 == 0]
 # print(list_b)
 
+# list_a = [1,2,3,4,5,6,7,8,9,10]
+# new_list = list_a[0::2]
+# print(new_list)
+
+
+def get_neighbours(lat, lon, columns):
+    values = ''  # Used in second parameter of cursor.execute() (Avoids SQL injection)
+    for n in [lat, lon]:
+        values = (*values, n)  # adding n to existing tuple
+    with psycopg2.connect(database=param_postgres["dbName"], user=param_postgres["user"], password=param_postgres["password"], host=param_postgres["host"], port=param_postgres["port"]) as connection:
+        with connection.cursor() as cursor:
+            query = sql.SQL("""
+                        SELECT array_to_json(array_agg(row_to_json(t))) from (
+                            SELECT {columns}, ST_Distance(ST_MakePoint(lat, lon), ST_MakePoint({lon}, {lat})) AS distance 
+                            FROM stations 
+                            WHERE file IS NOT NULL 
+                            ORDER BY distance 
+                            LIMIT {amount_neighbours}
+                        ) t;
+                            """).format(columns=columns, lon=sql.Placeholder(), lat=sql.Placeholder(), amount_neighbours=sql.SQL(param_interpol["amount_neighbours"]))
+            cursor.execute(query, values)
+            neighbours = cursor.fetchall()[0][0]
+            print(neighbours)
+    # return neighbours
 
 
-list_a = [1,2,3,4,5,6,7,8,9,10]
-new_list = list_a[0::2]
-print(new_list)
\ No newline at end of file
+get_neighbours(53.42, 9.24, sql.SQL('"2015", "2014", "2010"'))
\ No newline at end of file