linting

docs/examples/snow-detection/snow-mode.py

@@ -126,7 +126,7 @@
 data.loc[:, ac_power_cols] = data[ac_power_cols].replace({np.nan: 0, None: 0})
 
 
-# %% 
+# %%
 # Plot DC voltage for each combiner input relative to inverter nameplate
 # limits
 
@@ -541,8 +541,7 @@ def wrapper(voltage, current, temp_cell, effective_irradiance,
         data[inv_cb + ' ' + k] = v
 
 
-# %%
-# Look at transmission for all DC inputs
+# %% Look at transmission for all DC inputs
 
 transmission_cols = [c for c in data.columns if 'transmission' in c and
                      'voltage' not in c]
@@ -557,8 +556,7 @@ def wrapper(voltage, current, temp_cell, effective_irradiance,
 ax.legend()
 plt.show()
 
-# %%
-# Look at voltage ratios for all DC inputs
+# %% Look at voltage ratios for all DC inputs
 
 vratio_cols = [c for c in data.columns if "vmp_ratio" in c]
 fig, ax = plt.subplots(figsize=(10, 10))
@@ -719,5 +717,3 @@ def wrapper(voltage, current, temp_cell, effective_irradiance,
 ax.xaxis.set_major_formatter(date_form)
 ax.set_title('Losses incurred in modes -1, 0, 1, 2, 3', fontsize='xx-large')
 plt.show()
-
-# %%

pvanalytics/tests/features/test_snow.py

@@ -77,7 +77,7 @@ def test_categorize():
                                                         600, 400, 850])
     transmission = np.array([0.5, np.nan, 0.5, 0.9, 0.5, 0.9, 0.9, 0.9, 1, 0,
                              0.9])
-    
+
     min_dcv = 300
     max_dcv = 800
     threshold_vratio = 0.7