fixed animation error

scripts/plot_cci_buoy_error.py

@@ -126,10 +126,8 @@ for hour in hours_list_to_plot:
     plot_sst.plot_sst_map(cci_to_plot, ax=ax, vmin=-7, vmax=7)
 
     for date in dates_list:
-        buoy_data = df_buoy[date.strftime('%Y-%m-%d')][0]
-        if buoy_data.empty:
-            pass
-        else:
+        try:
+            buoy_data = df_buoy[date.strftime('%Y-%m-%d')][0]
             xx = buoy_data.lon.values
             yy = buoy_data.lat.values
             s = 30 / buoy_data.age.values
@@ -142,6 +140,8 @@ for hour in hours_list_to_plot:
                              c=temp, cmap=cmap, vmin=-1, vmax=1, edgecolors='k',
                              linewidths=0.5,
                              transform=crs.PlateCarree())
+        except IndexError:
+            pass
 
     # Now adding the colour-bar
     cax, kw = colorbar.make_axes(ax, location='top', pad=0.07, aspect=30)
@@ -156,10 +156,8 @@ for hour in hours_list_to_plot:
     f.suptitle(plot_end_date)
     #ax.set_title()
 
-    plot_name = str(int(year)) + '_' + f"{str(int(month)):0>2}" \
-                + f"{str(int(day_to_plot)):0>2}" + f"{str(int(hour)):0>2}"
-
+    plot_name = str(int(year)) + '_' + f"{str(int(month)):0>2}" + f"{str(int(day_to_plot)):0>2}" + f"{str(int(hour)):0>2}"
     plt.savefig(os.path.join(config['plots_path'], plot_name + '.png'),
-                bbox_inches='tight', pad_inches=0.25)
+                    bbox_inches='tight', pad_inches=0.25)
     plt.clf()
-    plt.close(f)
+    plt.close(f)
\ No newline at end of file

sst_tools/workflow_sst.py

@@ -92,11 +92,7 @@ def process_hour_drift_from_start_to_end(df,
             day_df = day_df.dropna(subset=['lon', 'lat'])
 
         if day_df.empty:
-            day_df = day_df.assign(cci_sst=np.NaN)
-            day_df['cci_sst_2x2'] = np.NaN
-            day_df['cci_sst_1x1'] = np.NaN
-            day_df = day_df.assign(sst_z_mean=np.NaN)
-            day_df['age'] = day_df['date'].apply(lambda x: age.get(x.strftime('%Y-%m-%d')))
+            pass
         else:
             # It is important when using interp that you convert to xarray!
             yy = xr.DataArray(day_df.lat.values, dims='z')
@@ -137,8 +133,8 @@ def process_hour_drift_from_start_to_end(df,
             day_df['age'] = day_df['date'].apply(lambda x: age.get(x.strftime('%Y-%m-%d')))
 
             # Save all in a dictionary lead by date
-        d[date.strftime('%Y-%m-%d')].append(day_df)
-    return d
+            d[date.strftime('%Y-%m-%d')].append(day_df)
+            return d
 
 
 def compute_coarsen(data, resolution):