Fix docstrings

Author: cbcrespo

pvlib/irradiance.py

@@ -916,16 +916,16 @@ def reindl(surface_tilt, surface_azimuth, dhi, dni, ghi, dni_extra,
     solar_azimuth : numeric
         Solar azimuth angles. See :term:`solar_azimuth`. [°]
 
-    return_components : bool, default False
-        Flag used to decide whether to return the calculated diffuse components
-        or not.
+    return_components : bool, default ``False``
+        If ``False``, ``sky_diffuse`` is returned.
+        If ``True``, ``diffuse_components`` is returned.
 
     Returns
     -------
     numeric, Dict, or DataFrame
         Return type controlled by ``return_components`` argument.
-        If ``return_components=False``, `sky_diffuse` is returned.
-        If ``return_components=True``, `diffuse_components` is returned.
+        If ``return_components=False``, ``sky_diffuse`` is returned.
+        If ``return_components=True``, ``diffuse_components`` is returned.
 
     sky_diffuse : numeric
         The sky diffuse component of the solar radiation on a tilted
@@ -964,8 +964,8 @@ def reindl(surface_tilt, surface_azimuth, dhi, dni, ghi, dni_extra,
     brightening, so the form of the equation varies slightly from Equation 8
     in [3]_.
 
-    For clarity, the horizon component in `reindl` corresponds to the term
-    added on top of the `haydavies` formulation, on which `reindl` builds.
+    For clarity, the horizon component in ``reindl`` corresponds to the term
+    added on top of the ``haydavies`` formulation, on which ``reindl`` builds.
 
     References
     ----------

tests/test_irradiance.py

@@ -270,18 +270,20 @@ def test_reindl_components(irrad_data, ephem_data, dni_et):
     assert_frame_equal(result, expected, check_less_precise=4)
     # numpy
     result = irradiance.reindl(
-        40, 180, irrad_data['dhi'].values, irrad_data['dni'].values,
-        irrad_data['ghi'].values, dni_et, ephem_data['apparent_zenith'].values,
-        ephem_data['azimuth'].values, return_components=True)
+        40, 180, irrad_data['dhi'].to_numpy(), irrad_data['dni'].to_numpy(),
+        irrad_data['ghi'].to_numpy(), dni_et,
+        ephem_data['apparent_zenith'].to_numpy(),
+        ephem_data['azimuth'].to_numpy(), return_components=True)
     for key in keys:
         assert_allclose(result[key], expected[key], atol=1e-4)
     assert isinstance(result, dict)
     # scalar
     result = irradiance.reindl(
-        40, 180, irrad_data['dhi'].values[-1], irrad_data['dni'].values[-1],
-        irrad_data['ghi'].values[-1], dni_et[-1],
-        ephem_data['apparent_zenith'].values[-1],
-        ephem_data['azimuth'].values[-1],
+        40, 180, irrad_data['dhi'].to_numpy()[-1],
+        irrad_data['dni'].to_numpy()[-1],
+        irrad_data['ghi'].to_numpy()[-1], dni_et[-1],
+        ephem_data['apparent_zenith'].to_numpy()[-1],
+        ephem_data['azimuth'].to_numpy()[-1],
         return_components=True)
     for key in keys:
         assert_allclose(result[key], expected[key].iloc[-1], atol=1e-4)