@@ 1,3 1,4 @@ 
+import io
 import json
 
 import numpy as np

          
@@ 21,7 22,7 @@ def test_supervision_json(client):
         'tzaware': util.tzaware_series(series)
     })
 
-    series[-1] = 42
+    series.iloc[-1] = 42
     client.patch('/series/state', params={
         'name': 'test-edited',
         'series': util.tojson(series),

          
@@ 32,7 33,7 @@ def test_supervision_json(client):
     })
 
     res = client.get('/series/supervision?name=test-edited')
-    df = pd.read_json(res.text, orient='index')
+    df = pd.read_json(io.StringIO(res.text), orient='index')
     assert_df("""
                            series  markers
 2020-01-01 00:00:00+00:00       0    False

          
@@ 69,7 70,7 @@ def test_supervision(tsx):
     series = genserie(utcdt(2020, 1, 1), 'D', 3)
     tsx.update('test-supervision', series, 'Babar')
 
-    series[-1] = 42
+    series.iloc[-1] = 42
     tsx.update('test-supervision', series, 'Babar', manual=True)
 
     ts, markers = tsx.edited('test-supervision')

          
@@ 113,9 114,9 @@ def test_edited_by_horizon(client):
         '2023-02-01T00:00:00+00:00': {'markers': False, 'series': 31.0},
         '2023-02-02T00:00:00+00:00': {'markers': False, 'series': 32.0}
     }
-    df = pd.read_json(res.text, orient='index')
+    df = pd.read_json(io.StringIO(res.text), orient='index')
     ts = df['series']
-    ts[-1] = 42
+    ts.iloc[-1] = 42
 
     client.patch('/series/state', params={
         'name': 'horizon',

          
@@ 176,7 177,7 @@ def test_edited_with_timezone(client):
     }
 
     # put a nan
-    ts[2] = np.nan
+    ts.iloc[2] = np.nan
     client.patch('/series/state', params={
         'name': 'withtz',
         'series': util.tojson(ts),

          

@@ 7,24 7,11 @@ import numpy as np
 from tshistory.util import _set_cache, empty_series
 from tshistory.testutil import (
     assert_df,
+    genserie,
     utcdt
 )
 
 
-def genserie(start, freq, repeat, initval=None, tz=None, name=None):
-    if initval is None:
-        values = range(repeat)
-    else:
-        values = initval * repeat
-    return pd.Series(values,
-                     name=name,
-                     index=pd.date_range(start=start,
-                                         freq=freq,
-                                         periods=repeat,
-                                         tz=tz))
-
-
-
 def test_rename(engine, tsh):
     assert tsh.supervision_status(engine, 'rename-me') == 'unsupervised'
     tsh.update(engine, genserie(datetime(2010, 1, 1), 'D', 3),

          
@@ 574,10 561,10 @@ def test_series_dtype(engine, tsh):
 def test_serie_deletion(engine, tsh):
 
     def testit(tsh):
-        ts = genserie(datetime(2018, 1, 10), 'H', 10)
+        ts = genserie(datetime(2018, 1, 10), 'h', 10)
         tsh.update(engine, ts, 'keepme', 'Babar')
         tsh.update(engine, ts, 'deleteme', 'Celeste')
-        ts = genserie(datetime(2018, 1, 12), 'H', 10)
+        ts = genserie(datetime(2018, 1, 12), 'h', 10)
         tsh.update(engine, ts, 'keepme', 'Babar')
         tsh.update(engine, ts, 'deleteme', 'Celeste')