Address pandas FutureWarnings in test suite (#1900)

* Cahnged expected reference in test_detect_clearskY_window to 1 from True to avoid Futurewarning

* Change reference to etr in ibird function to avoid FutureWarning

* In test_modelchain, update all instances when referring to series by position to using iloc to get rid of FutureWarning

* Update to iloc method for referencing by position in test_irradiance to get rid of FutureWarning

* In test_singlediode change applymap to map to get rid of FutureWarning

* Test_srml update to select using iloc to get rid of FutureWarning

* Substitute changing to float64 dtype using map with base functionality that's accessible across Pandas versions

* Added username to Contributors

* Update line break in test_clearsky to adhere to line length limit

docs/sphinx/source/whatsnew/v0.10.3.rst

@@ -32,3 +32,4 @@ Contributors
 * Miguel Sánchez de León Peque (:ghuser:`Peque`)
 * Will Hobbs (:ghuser:`williamhobbs`)
 * Anton Driesse (:ghuser:`adriesse`)
+* :ghuser:`matsuobasho`

pvlib/tests/iotools/test_srml.py

@@ -42,8 +42,8 @@ def test_read_srml_map_variables_false():
 
 def test_read_srml_nans_exist():
     data = srml.read_srml(srml_testfile)
-    assert isnan(data['dni_0'][1119])
-    assert data['dni_0_flag'][1119] == 99
+    assert isnan(data['dni_0'].iloc[1119])
+    assert data['dni_0_flag'].iloc[1119] == 99
 
 
 @pytest.mark.parametrize('url,year,month', [

pvlib/tests/test_clearsky.py

@@ -631,7 +631,7 @@ def test_detect_clearsky_window(detect_clearsky_data):
     clear_samples = clearsky.detect_clearsky(
         expected['GHI'], cs['ghi'], window_length=3)
     expected = expected['Clear or not'].copy()
-    expected.iloc[-3:] = True
+    expected.iloc[-3:] = 1
     assert_series_equal(expected, clear_samples,
                         check_dtype=False, check_names=False)
 
@@ -855,7 +855,8 @@ def test_bird():
     # test scalars just at noon
     # XXX: calculations start at 12am so noon is at index = 12
     irrads3 = clearsky.bird(
-        zenith[12], airmass[12], aod_380nm, aod_500nm, h2o_cm, dni_extra=etr[12]
+        zenith[12], airmass[12], aod_380nm, aod_500nm, h2o_cm,
+        dni_extra=etr.iloc[12]
     )
     Eb3, Ebh3, Gh3, Dh3 = (irrads3[_] for _ in field_names)
     # XXX: testdata starts at 1am so noon is at index = 11

pvlib/tests/test_irradiance.py

@@ -237,13 +237,13 @@ def test_haydavies_components(irrad_data, ephem_data, dni_et):
         40, 180, irrad_data['dhi'].values[-1], irrad_data['dni'].values[-1],
         dni_et[-1], ephem_data['apparent_zenith'].values[-1],
         ephem_data['azimuth'].values[-1], return_components=True)
-    assert_allclose(result['sky_diffuse'], expected['sky_diffuse'][-1],
+    assert_allclose(result['sky_diffuse'], expected['sky_diffuse'].iloc[-1],
                     atol=1e-4)
-    assert_allclose(result['isotropic'], expected['isotropic'][-1],
+    assert_allclose(result['isotropic'], expected['isotropic'].iloc[-1],
                     atol=1e-4)
-    assert_allclose(result['circumsolar'], expected['circumsolar'][-1],
+    assert_allclose(result['circumsolar'], expected['circumsolar'].iloc[-1],
                     atol=1e-4)
-    assert_allclose(result['horizon'], expected['horizon'][-1], atol=1e-4)
+    assert_allclose(result['horizon'], expected['horizon'].iloc[-1], atol=1e-4)
     assert isinstance(result, dict)
 
 

pvlib/tests/test_modelchain.py

@@ -1373,7 +1373,7 @@ def test_ac_models(sapm_dc_snl_ac_system, cec_dc_adr_ac_system,
     assert m.call_count == 1
     assert isinstance(mc.results.ac, pd.Series)
     assert not mc.results.ac.empty
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[1] < 1
 
 
 def test_ac_model_user_func(pvwatts_dc_pvwatts_ac_system, location, weather,
@@ -1425,8 +1425,8 @@ def test_aoi_models(sapm_dc_snl_ac_system, location, aoi_model,
     assert m.call_count == 1
     assert isinstance(mc.results.ac, pd.Series)
     assert not mc.results.ac.empty
-    assert mc.results.ac[0] > 150 and mc.results.ac[0] < 200
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[0] > 150 and mc.results.ac.iloc[0] < 200
+    assert mc.results.ac.iloc[1] < 1
 
 
 @pytest.mark.parametrize('aoi_model', [
@@ -1441,8 +1441,8 @@ def test_aoi_models_singleon_weather_single_array(
     assert len(mc.results.aoi_modifier) == 1
     assert isinstance(mc.results.ac, pd.Series)
     assert not mc.results.ac.empty
-    assert mc.results.ac[0] > 150 and mc.results.ac[0] < 200
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[0] > 150 and mc.results.ac.iloc[0] < 200
+    assert mc.results.ac.iloc[1] < 1
 
 
 def test_aoi_model_no_loss(sapm_dc_snl_ac_system, location, weather):
@@ -1451,8 +1451,8 @@ def test_aoi_model_no_loss(sapm_dc_snl_ac_system, location, weather):
     mc.run_model(weather)
     assert mc.results.aoi_modifier == 1.0
     assert not mc.results.ac.empty
-    assert mc.results.ac[0] > 150 and mc.results.ac[0] < 200
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[0] > 150 and mc.results.ac.iloc[0] < 200
+    assert mc.results.ac.iloc[1] < 1
 
 
 def test_aoi_model_interp(sapm_dc_snl_ac_system, location, weather, mocker):
@@ -1472,8 +1472,8 @@ def test_aoi_model_interp(sapm_dc_snl_ac_system, location, weather, mocker):
     assert m.call_args[1]['theta_ref'] == theta_ref
     assert isinstance(mc.results.ac, pd.Series)
     assert not mc.results.ac.empty
-    assert mc.results.ac[0] > 150 and mc.results.ac[0] < 200
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[0] > 150 and mc.results.ac.iloc[0] < 200
+    assert mc.results.ac.iloc[1] < 1
 
 
 def test_aoi_model_user_func(sapm_dc_snl_ac_system, location, weather, mocker):
@@ -1484,8 +1484,8 @@ def test_aoi_model_user_func(sapm_dc_snl_ac_system, location, weather, mocker):
     assert m.call_count == 1
     assert mc.results.aoi_modifier == 0.9
     assert not mc.results.ac.empty
-    assert mc.results.ac[0] > 140 and mc.results.ac[0] < 200
-    assert mc.results.ac[1] < 1
+    assert mc.results.ac.iloc[0] > 140 and mc.results.ac.iloc[0] < 200
+    assert mc.results.ac.iloc[1] < 1
 
 
 @pytest.mark.parametrize('aoi_model', [

pvlib/tests/test_singlediode.py

@@ -110,12 +110,11 @@ def build_precise_iv_curve_dataframe(file_csv, file_json):
 
     # parse strings to np.float64
     is_array = ['Currents', 'Voltages', 'diode_voltage']
-    joined[is_array] = joined[is_array].applymap(
-        lambda a: np.asarray(a, dtype=np.float64)
-    )
+    for col in is_array:
+        joined[col] = [np.asarray(a, dtype=np.float64) for a in joined[col]]
     is_number = ['v_oc', 'i_sc', 'v_mp', 'i_mp', 'p_mp', 'i_x', 'i_xx',
                  'Temperature']
-    joined[is_number] = joined[is_number].applymap(np.float64)
+    joined[is_number] = joined[is_number].astype(np.float64)
 
     joined['Boltzmann'] = scipy.constants.Boltzmann
     joined['Elementary Charge'] = scipy.constants.elementary_charge