diff --git a/src/py/crankshaft/crankshaft/clustering/getis.py b/src/py/crankshaft/crankshaft/clustering/getis.py
index 1ee425a..a593e64 100644
--- a/src/py/crankshaft/crankshaft/clustering/getis.py
+++ b/src/py/crankshaft/crankshaft/clustering/getis.py
@@ -11,12 +11,13 @@ import crankshaft.pysal_utils as pu
 
 # High level interface ---------------------------------------
 
+
 def getis_ord(subquery, attr,
               w_type, num_ngbrs, permutations, geom_col, id_col):
     """
     Getis-Ord's G*
-    Implementation building neighbors with a PostGIS database and PySAL's Getis-Ord's G*
-     hotspot/coldspot module.
+    Implementation building neighbors with a PostGIS database and PySAL's
+      Getis-Ord's G* hotspot/coldspot module.
     Andy Eschbacher
     """
 
@@ -41,11 +42,11 @@ def getis_ord(subquery, attr,
 
     attr_vals = pu.get_attributes(result)
 
-    ## build PySAL weight object
+    # build PySAL weight object
     weight = pu.get_weight(result, w_type, num_ngbrs)
 
     # calculate Getis-Ord's G* z- and p-values
     getis = ps.esda.getisord.G_Local(attr_vals, weight,
-      star=True, permutations=permutations)
+                                     star=True, permutations=permutations)
 
     return zip(getis.z_sim, getis.p_sim, getis.p_z_sim, weight.id_order)
diff --git a/src/py/crankshaft/test/test_clustering_getis.py b/src/py/crankshaft/test/test_clustering_getis.py
index 2fe0c54..f56d5fb 100644
--- a/src/py/crankshaft/test/test_clustering_getis.py
+++ b/src/py/crankshaft/test/test_clustering_getis.py
@@ -14,29 +14,31 @@ import crankshaft.pysal_utils as pu
 from crankshaft import random_seeds
 import json
 
+
 class GetisTest(unittest.TestCase):
     """Testing class for Getis-Ord's G funtion
        This test replicates the work done in PySAL documentation:
           https://pysal.readthedocs.io/en/v1.11.0/users/tutorials/autocorrelation.html#local-g-and-g
     """
-    
+
     def setUp(self):
         plpy._reset()
-        self.neighbors_data = json.loads(open(fixture_file('neighbors_getis.json')).read())
+        self.neighbors_data = json.loads(
+          open(fixture_file('neighbors_getis.json')).read())
         self.getis_data = json.loads(open(fixture_file('getis.json')).read())
 
     def test_getis_ord(self):
         """Test Getis-Ord's G*"""
-        data = [ { 'id': d['id'],
-                   'attr1': d['value'],
-                   'neighbors': d['neighbors'] } for d in self.neighbors_data]
+        data = [{'id': d['id'],
+                 'attr1': d['value'],
+                 'neighbors': d['neighbors']} for d in self.neighbors_data]
         plpy._define_result('select', data)
         random_seeds.set_random_seeds(1234)
-        result = cc.getis_ord('subquery', 'value', 'knn', 5, 999, 'the_geom', 'cartodb_id')
+        result = cc.getis_ord('subquery', 'value',
+                              'knn', 5, 999, 'the_geom', 'cartodb_id')
         result = [(row[0], row[1]) for row in result]
         expected = np.array(self.getis_data)[:, 0:2]
         for ([res_z, res_p], [exp_z, exp_p]) in zip(result, expected):
             self.assertAlmostEqual(res_z, exp_z, delta=1e-2)
             if exp_p <= 0.05:
                 self.assertTrue(res_p < 0.05)
-