Fix tests

Author: SabineHaas

tests/test_modelchain.py

@@ -21,7 +21,9 @@ def setup_class(self):
         """Setup default values"""
         self.test_turbine = {'hub_height': 100,
                              'turbine_type': 'E-126/4200',
-                             'power_curve': True}
+                             'power_curve': pd.DataFrame(
+                                 data={'value': [0.0, 4200 * 1000],
+                                       'wind_speed': [0.0, 25.0]})}
 
         temperature_2m = np.array([[267], [268]])
         temperature_10m = np.array([[267], [266]])

tests/test_turbine_cluster_modelchain.py

@@ -40,8 +40,7 @@ def setup_class(self):
         self.test_turbine_2 = {'hub_height': 90,
                                'rotor_diameter': 60,
                                'turbine_type': 'V90/2000',
-                               'nominal_power': 2000000.0
-                               }
+                               'nominal_power': 2000000.0}
         self.test_farm = {'wind_turbine_fleet': [
                               {'wind_turbine':
                                   wt.WindTurbine(**self.test_turbine),
@@ -191,17 +190,18 @@ def test_error_raising(self):
 
         # Raise ValueError when aggregated wind farm power curve needs to be
         # calculated but turbine does not have a power curve
-        test_turbine = {
+        test_turbine_data = {
             'hub_height': 100,
             'rotor_diameter': 98,
-            'turbine_type': 'V90/2000',
-            'power_curve': True}
+            'turbine_type': 'V90/2000'}
+        test_turbine = wt.WindTurbine(**test_turbine_data)
+        test_turbine.power_curve = True
         test_farm = {'wind_turbine_fleet':
                          [{'wind_turbine':
                                wt.WindTurbine(**self.test_turbine),
                            'number_of_turbines': 3},
                           {'wind_turbine':
-                               wt.WindTurbine(**test_turbine),
+                               test_turbine,
                            'number_of_turbines': 3}]}
         test_tc_mc = tc_mc.TurbineClusterModelChain(
             power_plant=wf.WindFarm(**test_farm))

windpowerlib/modelchain.py

@@ -91,8 +91,7 @@ class ModelChain(object):
     >>> enerconE126 = {
     ...    'hub_height': 135,
     ...    'rotor_diameter': 127,
-    ...    'turbine_type': 'E-126/4200',
-    ...    'power_curve': True}
+    ...    'turbine_type': 'E-126/4200'}
     >>> e126 = wind_turbine.WindTurbine(**enerconE126)
     >>> modelchain_data = {'density_model': 'ideal_gas'}
     >>> e126_mc = modelchain.ModelChain(e126, **modelchain_data)