fix cs test numbers due to new solpos

Author: wholmgren

pvlib/test/test_clearsky.py

@@ -12,6 +12,8 @@
 from pvlib import clearsky
 from pvlib import solarposition
 
+from . import requires_scipy
+
 # setup times and location to be tested.
 tus = Location(32.2, -111, 'US/Arizona', 700)
 times = pd.date_range(start='2014-06-24', end='2014-06-25', freq='3h')
@@ -20,17 +22,16 @@
 ephem_data = solarposition.get_solarposition(times_localized, tus.latitude,
                                              tus.longitude)
 
-
+@requires_scipy
 def test_ineichen_required():
     # the clearsky function should call lookup_linke_turbidity by default
-    # will fail without scipy
     expected = pd.DataFrame(np.array([[0.,0.,0.],
                                       [0.,0.,0.],
-                                      [40.53660309,302.47614235,78.1470311],
-                                      [98.88372629,865.98938602,699.93403875],
-                                      [122.57870881,931.83716051,1038.62116584],
-                                      [109.30270612,899.88002304,847.68806472],
-                                      [64.25699595,629.91187925,254.53048144],
+                                      [51.0100314,259.73341927,82.76689082],
+                                      [104.99512329,832.22000002,682.43280974],
+                                      [121.97931179,901.31646645,1008.00975362],
+                                      [112.5726345,867.73434086,824.48415382],
+                                      [76.61228483,587.82419004,253.67624301],
                                       [0.,0.,0.],
                                       [0.,0.,0.]]),
                             columns=['dhi', 'dni', 'ghi'],
@@ -42,11 +43,11 @@ def test_ineichen_required():
 def test_ineichen_supply_linke():
     expected = pd.DataFrame(np.array([[0.,0.,0.],
                                       [0.,0.,0.],
-                                      [40.18673553,322.0649964,80.23287692],
-                                      [95.14405816,876.49507151,703.48596755],
-                                      [118.45873721,939.81653473,1042.34531752],
-                                      [105.36671577,909.113377,851.3283881],
-                                      [61.91607984,647.40869542,257.47471759],
+                                      [39.81862097,316.23284759,78.48350328],
+                                      [95.12705301,876.43232906,703.24156169],
+                                      [118.45796469,939.81499487,1042.33401282],
+                                      [105.35769022,909.0884868,851.19721202],
+                                      [61.83556162,646.45362207,256.55983299],
                                       [0.,0.,0.],
                                       [0.,0.,0.]]),
                             columns=['dhi', 'dni', 'ghi'],
@@ -66,11 +67,11 @@ def test_ineichen_solpos():
 def test_ineichen_airmass():
     expected = pd.DataFrame(np.array([[0.,0.,0.],
                                       [0.,0.,0.],
-                                      [41.70761136,293.72203458,78.22953786],
-                                      [95.20590465,876.1650047,703.31872722],
-                                      [118.46089555,939.8078753,1042.33896321],
-                                      [105.39577655,908.97804342,851.24640259],
-                                      [62.35382269,642.91022293,256.55363539],
+                                      [53.52826665,250.64463008,84.17386592],
+                                      [101.32775752,842.86030421,686.14824255],
+                                      [117.7568185,909.70199089,1012.03056908],
+                                      [108.61662929,877.27820363,828.35817853],
+                                      [75.15682967,601.03375193,256.19976209],
                                       [0.,0.,0.],
                                       [0.,0.,0.]]),
                             columns=['dhi', 'dni', 'ghi'],