Fix test issues

R/tests/testthat/test_diagnostics.R

@@ -282,7 +282,7 @@ test_that("copy", {
   m1 <- add_regressor(m1, 'binary_feature')
   m1 <- fit.prophet(m1, df)
   m2 <- prophet:::prophet_copy(m1, cutoff)
-  changepoints <- changepoints[changepoints <= cutoff]
+  changepoints <- changepoints[changepoints < cutoff]
   expect_equal(prophet:::set_date(changepoints), m2$changepoints)
   expect_true('custom' %in% names(m2$seasonalities))
   expect_true('binary_feature' %in% names(m2$extra_regressors))

python/fbprophet/forecaster.py

@@ -1106,7 +1106,7 @@ class Prophet(object):
         history = df[df['y'].notnull()].copy()
         if history.shape[0] < 2:
             raise ValueError('Dataframe has less than 2 non-NaN rows.')
-        self.history_dates = pd.to_datetime(df['ds'].unique()).sort_values()
+        self.history_dates = pd.to_datetime(pd.Series(df['ds'].unique(), name='ds')).sort_values()
 
         history = self.setup_dataframe(history, initialize_scales=True)
         self.history = history

python/fbprophet/tests/test_diagnostics.py

@@ -350,7 +350,7 @@ class TestDiagnostics(TestCase):
         m1.add_regressor('binary_feature')
         m1.fit(df)
         m2 = diagnostics.prophet_copy(m1, cutoff=cutoff)
-        changepoints = changepoints[changepoints <= cutoff]
+        changepoints = changepoints[changepoints < cutoff]
         self.assertTrue((changepoints == m2.changepoints).all())
         self.assertTrue('custom' in m2.seasonalities)
         self.assertTrue('binary_feature' in m2.extra_regressors)

python/fbprophet/tests/test_serialize.py

@@ -41,7 +41,7 @@ class TestSerialize(TestCase):
         # Make sure json doesn't get too large in the future
         self.assertTrue(len(model_str) < 200000)
         z = json.loads(model_str)
-        self.assertEqual(z['__fbprophet_version'], '0.6.1.dev0')
+        self.assertEqual(z['__fbprophet_version'], '0.7')
 
         m2 = model_from_json(model_str)