Appease a few test warnings

.github/workflows/pytest-remote-data.yml

@@ -104,7 +104,7 @@ jobs:
 
       - name: Upload coverage to Codecov
         if: matrix.python-version == 3.7 && matrix.suffix == ''
-        uses: codecov/codecov-action@v2
+        uses: codecov/codecov-action@v3
         with:
           fail_ci_if_error: true
           verbose: true

.github/workflows/pytest.yml

@@ -82,7 +82,7 @@ jobs:
 
       - name: Upload coverage to Codecov
         if: matrix.python-version == 3.7 && matrix.suffix == '' && matrix.os == 'ubuntu-latest' && matrix.environment-type == 'conda'
-        uses: codecov/codecov-action@v2
+        uses: codecov/codecov-action@v3
         with:
           fail_ci_if_error: true
           verbose: true

pvlib/tests/test_atmosphere.py

@@ -169,7 +169,6 @@ def test_kasten96_lt():
     )
     lt = atmosphere.kasten96_lt(*np.meshgrid(amp, pwat, aod_bb))
     assert np.allclose(lt, lt_expected, 1e-3)
-    return lt
 
 
 def test_angstrom_aod():

pvlib/tests/test_clearsky.py

@@ -808,4 +808,3 @@ def test_bird():
         [Eb3, Ebh3, Gh3, Dh3],
         testdata2[['Direct Beam', 'Direct Hz', 'Global Hz', 'Dif Hz']].iloc[11],
         rtol=1e-3)
-    return pd.DataFrame({'Eb': Eb, 'Ebh': Ebh, 'Gh': Gh, 'Dh': Dh}, index=times)

pvlib/tests/test_solarposition.py

@@ -163,7 +163,7 @@ def test_sun_rise_set_transit_spa(expected_rise_set_spa, golden):
     result_rounded = pd.DataFrame(index=result.index)
     # need to iterate because to_datetime does not accept 2D data
     # the rounding fails on pandas < 0.17
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('1s')
 
     assert_frame_equal(frame, result_rounded)
@@ -176,7 +176,7 @@ def test_sun_rise_set_transit_spa(expected_rise_set_spa, golden):
     # round to nearest minute
     result_rounded = pd.DataFrame(index=result.index)
     # need to iterate because to_datetime does not accept 2D data
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('s').tz_convert('MST')
 
     assert_frame_equal(expected_rise_set_spa, result_rounded)
@@ -191,7 +191,7 @@ def test_sun_rise_set_transit_ephem(expected_rise_set_ephem, golden):
         temperature=11, horizon='-0:34')
     # round to nearest minute
     result_rounded = pd.DataFrame(index=result.index)
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('min').tz_convert('MST')
     assert_frame_equal(expected_rise_set_ephem, result_rounded)
 
@@ -227,7 +227,7 @@ def test_sun_rise_set_transit_ephem(expected_rise_set_ephem, golden):
                                                       horizon='-0:34')
     # round to nearest minute
     result_rounded = pd.DataFrame(index=result.index)
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('min').tz_convert('MST')
     assert_frame_equal(expected, result_rounded)
 
@@ -259,22 +259,22 @@ def test_sun_rise_set_transit_ephem(expected_rise_set_ephem, golden):
         altitude=golden.altitude, pressure=0, temperature=11, horizon='-0:34')
     # round to nearest minute
     result_rounded = pd.DataFrame(index=result.index)
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('min').tz_convert('MST')
     assert_frame_equal(expected, result_rounded)
 
     # test with different timezone
     times = times.tz_convert('UTC')
     expected = expected.tz_convert('UTC')  # resuse result from previous
-    for col, data in expected.iteritems():
+    for col, data in expected.items():
         expected[col] = data.dt.tz_convert('UTC')
     result = solarposition.sun_rise_set_transit_ephem(
         times,
         golden.latitude, golden.longitude, next_or_previous='previous',
         altitude=golden.altitude, pressure=0, temperature=11, horizon='-0:34')
     # round to nearest minute
     result_rounded = pd.DataFrame(index=result.index)
-    for col, data in result.iteritems():
+    for col, data in result.items():
         result_rounded[col] = data.dt.round('min').tz_convert(times.tz)
     assert_frame_equal(expected, result_rounded)