Fix tests and add notebook test

commit b1e64add7f6f6db13d16819aa45970afa1303cff
Author: Birgit Schachler <birgit.schachler@rl-institut.de>
Date:   Tue Mar 13 15:36:47 2018 +0100

    Set author to be just oemof developing group

commit 2182137
Author: Birgit Schachler <birgit.schachler@rl-institut.de>
Date:   Tue Mar 13 15:07:59 2018 +0100

    Rename file to test examples

commit 0d8d0a0
Author: Birgit Schachler <birgit.schachler@rl-institut.de>
Date:   Tue Mar 13 15:07:12 2018 +0100

    Fix doctests

commit 80c9ad2
Author: Birgit Schachler <birgit.schachler@rl-institut.de>
Date:   Tue Mar 13 15:06:58 2018 +0100

    Add test for jupyter notebook

Author: birgits

doc/conf.py

@@ -61,7 +61,7 @@
 # General information about the project.
 project = u'windpowerlib'
 copyright = u'2016, oemof developer group'
-author = u'Uwe Krien, oemof developing group'
+author = u'oemof developing group'
 
 import windpowerlib
 
@@ -285,7 +285,7 @@
 
 # Bibliographic Dublin Core info.
 epub_title = u'windpowerlib'
-epub_author = u'Uwe Krien, oemof developing group'
+epub_author = u'oemof developing group'
 epub_publisher = u'oemof developing group'
 epub_copyright = u'2016, oemof developing group'
 

example/test_basic_example.py

@@ -0,0 +1,49 @@
+import os
+import subprocess
+import tempfile
+import nbformat
+
+from example import basic_example as be
+from numpy.testing import assert_allclose
+
+
+class TestExamples:
+
+    def test_basic_example_flh(self):
+        # tests full load hours
+        weather = be.get_weather_data('weather.csv')
+        my_turbine, e126 = be.initialise_wind_turbines()
+        be.calculate_power_output(weather, my_turbine, e126)
+
+        assert_allclose(1766.6870, (e126.power_output.sum() /
+                                    e126.nominal_power), 0.01)
+        assert_allclose(1882.7567, (my_turbine.power_output.sum() /
+                                        my_turbine.nominal_power), 0.01)
+
+    def _notebook_run(self, path):
+        """
+        Execute a notebook via nbconvert and collect output.
+        Returns (parsed nb object, execution errors)
+        """
+        dirname, __ = os.path.split(path)
+        os.chdir(dirname)
+        with tempfile.NamedTemporaryFile(suffix=".ipynb") as fout:
+            args = ["jupyter", "nbconvert", "--to", "notebook", "--execute",
+                    "--ExecutePreprocessor.timeout=60",
+                    "--output", fout.name, path]
+            subprocess.check_call(args)
+
+            fout.seek(0)
+            nb = nbformat.read(fout, nbformat.current_nbformat)
+
+        errors = [output for cell in nb.cells if "outputs" in cell
+                  for output in cell["outputs"]
+                  if output.output_type == "error"]
+
+        return nb, errors
+
+    def test_basic_example_ipynb(self):
+        dir_path = os.path.dirname(os.path.realpath(__file__))
+        nb, errors = self._notebook_run(os.path.join(dir_path,
+                                                     'basic_example.ipynb'))
+        assert errors == []

example/test_examples.py

@@ -88,7 +88,8 @@ class ModelChain(object):
     >>> enerconE126 = {
     ...    'hub_height': 135,
     ...    'rotor_diameter': 127,
-    ...    'turbine_name': 'ENERCON E 126 7500'}
+    ...    'turbine_name': 'ENERCON E 126 7500',
+    ...    'fetch_curve': 'power_coefficient_curve'}
     >>> e126 = wind_turbine.WindTurbine(**enerconE126)
     >>> modelchain_data = {'density_model': 'ideal_gas'}
     >>> e126_mc = modelchain.ModelChain(e126, **modelchain_data)

windpowerlib/modelchain.py

@@ -57,9 +57,9 @@ def linear_interpolation_extrapolation(df, target_height):
     ...                           columns=[np.array(['wind_speed',
     ...                                              'wind_speed']),
     ...                                    np.array([10, 80])])
-    >>> linear_interpolation_extrapolation(
-    ...     weather_df['wind_speed'], 100)[0]
-    6.8571428571428577
+    >>> round(linear_interpolation_extrapolation(
+    ...     weather_df['wind_speed'], 100)[0], 2)
+    6.86
 
     """
     # find closest heights