Draft: Develop

Improvements:

• Normalization using AIS_Points now raise exception if given a bad dictionary

New features:

• Added choosing fields for generating images for adding channels
• Added centering of image on last point
• Added chosing bounding box of image
• Added selecting range of values for features

skais/ais/ais_trajectory.py

@@ -358,11 +358,11 @@ class AISTrajectory(AISPoints):
         elif type(features) is list:
             features_vectors = self.df[features].to_numpy()
             for c in features_vectors.T:
-                bounds.append((0, max(c)))
+                bounds.append([0, max(c)])
         elif type(features) is str:
             features_vectors = self.df[[features]].to_numpy()
             for c in features_vectors.T:
-                bounds.append((0, max(c)))
+                bounds.append([0, max(c)])
         elif type(features) is dict:
             bounds = list(features.values())
             features_vectors = self.df[features.keys()].to_numpy()
@@ -383,6 +383,6 @@ class AISTrajectory(AISPoints):
                 generate_links(data, positions, height, width, lower_lat, upper_lat, lower_lon, upper_lon)
 
         else:
-            generate_points_with_features(data, positions, features_vectors, bounds, node_size, height, width,
+            generate_points_with_features(data, positions, features_vectors, np.array(bounds), node_size, height, width,
                                           lower_lat, upper_lat, lower_lon, upper_lon, link)
         return data