Add kwargs to forecast.get_data with tests

docs/sphinx/source/whatsnew/v0.7.0.rst

@@ -8,11 +8,15 @@ recommend all users of v0.6.3 upgrade to this release after checking API
 compatibility notes.
 
 **Python 2.7 support ended on June 1, 2019**. (:issue:`501`)
-
 **Minimum numpy version is now 1.10.4. Minimum pandas version is now 0.18.1.**
 
+Bug fixes
+~~~~~~~~~
+* Fix handling of keyword arguments in `forecasts.get_processed_data`.
+  (:issue:`745`)
 
 Contributors
 ~~~~~~~~~~~~
 * Mark Campanellli (:ghuser:`markcampanelli`)
 * Will Holmgren (:ghuser:`wholmgren`)
+* Oscar Dowson (:ghuser:`odow`)

pvlib/forecast.py

@@ -201,7 +201,7 @@ def set_location(self, time, latitude, longitude):
 
     def get_data(self, latitude, longitude, start, end,
                  vert_level=None, query_variables=None,
-                 close_netcdf_data=True):
+                 close_netcdf_data=True, **kwargs):
         """
         Submits a query to the UNIDATA servers using Siphon NCSS and
         converts the netcdf data to a pandas DataFrame.
@@ -223,6 +223,8 @@ def get_data(self, latitude, longitude, start, end,
         close_netcdf_data: bool, default True
             Controls if the temporary netcdf data file should be closed.
             Set to False to access the raw data.
+        **kwargs:
+            Additional keyword arguments are silently ignored.
 
         Returns
         -------

pvlib/test/test_forecast.py

@@ -75,6 +75,34 @@ def test_process_data(model):
                               .format(model, variable))
 
 
+@requires_siphon
+def test_bad_kwarg_get_data():
+    # For more information on why you would want to pass an unknown keyword
+    # argument, see Github issue #745.
+    amodel = NAM()
+    data = amodel.get_data(_latitude, _longitude, _start, _end,
+                           bad_kwarg=False)
+    assert not data.empty
+
+
+@requires_siphon
+def test_bad_kwarg_get_processed_data():
+    # For more information on why you would want to pass an unknown keyword
+    # argument, see Github issue #745.
+    amodel = NAM()
+    data = amodel.get_processed_data(_latitude, _longitude, _start, _end,
+                                     bad_kwarg=False)
+    assert not data.empty
+
+
+@requires_siphon
+def test_how_kwarg_get_processed_data():
+    amodel = NAM()
+    data = amodel.get_processed_data(_latitude, _longitude, _start, _end,
+                                     how='clearsky_scaling')
+    assert not data.empty
+
+
 @requires_siphon
 def test_vert_level():
     amodel = NAM()