Adapt docstring examples

Author: SabineHaas

windpowerlib/modelchain.py

@@ -91,9 +91,8 @@ class ModelChain(object):
     >>> enerconE126 = {
     ...    'hub_height': 135,
     ...    'rotor_diameter': 127,
-    ...    'name': 'E-126/4200',
-    ...    'fetch_curve': 'power_curve',
-    ...     'data_source': 'oedb'}
+    ...    'turbine_type': 'E-126/4200',
+    ...    'power_curve': True}
     >>> e126 = wind_turbine.WindTurbine(**enerconE126)
     >>> modelchain_data = {'density_model': 'ideal_gas'}
     >>> e126_mc = modelchain.ModelChain(e126, **modelchain_data)

windpowerlib/wind_farm.py

@@ -64,9 +64,8 @@ class WindFarm(object):
     >>> enerconE126 = {
     ...    'hub_height': 135,
     ...    'rotor_diameter': 127,
-    ...    'name': 'E-126/4200',
-    ...    'fetch_curve': 'power_curve',
-    ...    'data_source': 'oedb'}
+    ...    'turbine_type': 'E-126/4200',
+    ...    'power_curve': True}
     >>> e126 = wind_turbine.WindTurbine(**enerconE126)
     >>> example_farm_data = {
     ...    'name': 'example_farm',
@@ -208,7 +207,7 @@ def assign_power_curve(self, wake_losses_model='power_efficiency_curve',
         wake_losses_model : str
             Defines the method for taking wake losses within the farm into
             consideration. Options: 'wind_farm_efficiency' or None.
-            Default: 'wind_farm_efficiency'.
+            Default: 'wind_farm_efficiency'. # todo adapt
         smoothing : bool
             If True the power curves will be smoothed before or after the
             aggregation of power curves depending on `smoothing_order`.

windpowerlib/wind_turbine.py

@@ -284,17 +284,14 @@ def get_turbine_data_from_file(turbine_type, file_):
     --------
     >>> from windpowerlib import wind_turbine
     >>> import os
-    >>> source = os.path.join(os.path.dirname(__file__), '../example/data',
-    ...                       'example_power_curves.csv')
-    >>> p_nom_source = os.path.join(os.path.dirname(__file__),
-    ...                             '../example/data',
-    ...                             'example_nominal_power.csv')
+    >>> path = os.path.join(os.path.dirname(__file__), '../example/data')
     >>> example_turbine = {
     ...    'hub_height': 100,
     ...    'rotor_diameter': 70,
     ...    'name': 'DUMMY 3',
-    ...    'power_curve': source,
-    ...    'nominal_power': p_nom_source}
+    ...    'power_curve': 'example_power_curves.csv',
+    ...    'nominal_power': 'example_nominal_power.csv',
+    ...    'path' : path}
     >>> e_t_1 = wind_turbine.WindTurbine(**example_turbine)
     >>> print(e_t_1.power_curve['value'][7])
     18000.0