add a moderate point test sd series

Author: wholmgren

pvlib/test/test_pvsystem.py

@@ -453,8 +453,8 @@ def test_singlediode_floats_ivcurve():
 
 @requires_scipy
 def test_singlediode_series_ivcurve(cec_module_params):
-    times = pd.DatetimeIndex(start='2015-01-01', periods=2, freq='12H')
-    poa_data = pd.Series([0, 800], index=times)
+    times = pd.DatetimeIndex(start='2015-06-01', periods=3, freq='6H')
+    poa_data = pd.Series([0, 400, 800], index=times)
     IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_desoto(
                                          poa_data,
                                          temp_cell=25,
@@ -465,19 +465,21 @@ def test_singlediode_series_ivcurve(cec_module_params):
 
     out = pvsystem.singlediode(IL, I0, Rs, Rsh, nNsVth, ivcurve_pnts=3)
 
-    expected = OrderedDict([('i_sc', array([        nan,  6.00675648])),
-             ('i_mp', array([       nan,  5.285947])),
-             ('v_oc', array([         nan,  10.29530483])),
-             ('v_mp', array([        nan,  8.415971])),
-             ('p_mp', array([         nan,  44.486373])),
-             ('i_x', array([        nan,  5.74622046])),
-             ('i_xx', array([        nan,  3.90008])),
-             ('i',
-              array([[        nan,         nan,         nan],
-       [ 6.00726296,  5.74622046,  0.        ]])),
+    expected = OrderedDict([('i_sc', array([        nan,  3.01054475,  6.00675648])),
+             ('v_oc', array([         nan,   9.96886962,  10.29530483])),
+             ('i_mp', array([        nan,  2.65191983,  5.28594672])),
+             ('v_mp', array([        nan,  8.33392491,  8.4159707 ])),
+             ('p_mp', array([         nan,  22.10090078,  44.48637274])),
+             ('i_x', array([        nan,  2.88414114,  5.74622046])),
+             ('i_xx', array([        nan,  2.04340914,  3.90007956])),
              ('v',
               array([[         nan,          nan,          nan],
-       [  0.        ,   5.14765242,  10.29530483]]))])
+       [  0.        ,   4.98443481,   9.96886962],
+       [  0.        ,   5.14765242,  10.29530483]])),
+             ('i',
+              array([[             nan,              nan,              nan],
+       [  3.01079860e+00,   2.88414114e+00,   3.10862447e-14],
+       [  6.00726296e+00,   5.74622046e+00,   0.00000000e+00]]))])
 
     for k, v in out.items():
         assert_allclose(expected[k], v, atol=1e-2)