minor

modules/util/plot.py

@@ -231,14 +231,14 @@ def make_icing_image(clvrx_file, ice_lons, ice_lats, ice_lons_vld=None, ice_lats
     x = mdat.x
     y = mdat.y
 
-    fig = plt.figure(figsize=(15, 24))
+    fig = plt.figure(figsize=(48, 30))
     ax = fig.add_subplot(1, 1, 1, projection=geos)
     ax.imshow(image, origin='upper', extent=(x.min(), x.max(), y.min(), y.max()), cmap='Greys', transform=geos)
     ax.coastlines(resolution='50m', color='black', linewidth=0.25)
     ax.add_feature(ccrs.cartopy.feature.STATES, linewidth=0.25)
-    ax.scatter(ice_lons, ice_lats, s=0.6, marker='o', color='orange', transform=ccrs.PlateCarree())
+    ax.scatter(ice_lons, ice_lats, s=10.0, marker='o', color='blue', transform=ccrs.PlateCarree())
     if ice_lats_vld is not None:
         ax.scatter(ice_lons_vld, ice_lats_vld, s=20.0, marker='o', color='blue', transform=ccrs.PlateCarree())
-    plt.title('GOES-16, 2019-04-30_14:26Z  >60% Probability Icing', loc='left', fontweight='bold', fontsize=15)
+    plt.title('GOES-16, 2019-04-30_18:26Z  >60% Probability Icing', loc='left', fontweight='bold', fontsize=15)
     ImageDirAndName = os.path.join('/Users/tomrink', filename)
     fig.savefig(ImageDirAndName)
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