Fix sensor labels and improve 3D scatter handling

Updated lidar_scene0.csv to correct sensor labels for several entries. Added a check for missing filter_kwargs in scatter_3d_view.py to prevent updates when absent. Refactored group sorting and size offset logic in get_scatter3d_data to ensure correct group handling and size variation.

Author: rookiepeng

data/Example/lidar_scene0.csv

@@ -1,9 +1,9 @@
 Longitude,Latitude,Height,Host_Longitude,Host_Latitude,Sensor,Frame,Time
 28.62170503159231,0.0,0.0,0,0,Lidar1,0,0.0
-21.450999385067885,0.0,-2.220446049250313e-16,0,0,Lidar1,0,0.0
-17.145078454142,0.0,4.440892098500626e-16,0,0,Lidar1,0,0.0
-14.271546681333897,0.0,0.0,0,0,Lidar1,0,0.0
-12.216519641961906,0.0,-2.220446049250313e-16,0,0,Lidar1,0,0.0
+21.450999385067885,0.0,-2.220446049250313e-16,0,0,Lidar2,0,0.0
+17.145078454142,0.0,4.440892098500626e-16,0,0,Lidar3,0,0.0
+14.271546681333897,0.0,0.0,0,0,Lidar4,0,0.0
+12.216519641961906,0.0,-2.220446049250313e-16,0,0,Lidar5,0,0.0
 10.673054583576338,0.0,0.0,0,0,Lidar1,0,0.0
 9.470627272012553,0.0,0.0,0,0,Lidar1,0,0.0
 8.506922729426567,0.0,0.0,0,0,Lidar1,0,0.0

view_callbacks/scatter_3d_view.py

@@ -1005,6 +1005,8 @@ def export_all_frame_data(
             raise PreventUpdate
 
         filter_kwargs = cache_get(session_id, CACHE_KEYS["filter_kwargs"])
+        if filter_kwargs is None:
+            raise PreventUpdate
         cat_keys = filter_kwargs["cat_keys"]
         num_keys = filter_kwargs["num_keys"]
         cat_values = filter_kwargs["cat_values"]

viz/graph_data.py

@@ -268,13 +268,13 @@ def create_scatter(
         result["hover_strings"] = [hover_text.tolist()]
     else:
         grouped = data_frame.groupby(c_key)
-        num_groups = len(grouped)
-        for i, (name, group) in enumerate(sorted(grouped)):
+        sorted_groups = sorted(grouped)
+        num_groups = len(sorted_groups) if enable_size_vary else 0
+
+        for i, (name, group) in enumerate(sorted_groups):
             hover_text = process_hover(group)
-            if enable_size_vary:
-                size_offset = num_groups - 1 - i
-            else:
-                size_offset = 0
+            size_offset = (num_groups - 1 - i) if enable_size_vary else 0
+
             result["scatter_data"].append(
                 create_scatter(group, str(name), size_offset=size_offset)
             )