Always use IDs in plots and brain results

docs/source/user_guide/plots.rst

@@ -361,9 +361,6 @@ contains |GeoLocation| data in its ``location`` field:
     dataset = foz.load_zoo_dataset("quickstart-geo")
     fob.compute_uniqueness(dataset)
 
-    # Index the dataset by visual uniqueness
-    fob.compute_uniqueness(dataset)
-
     # A list of ``[longitude, latitude]`` coordinates
     locations = dataset.values("location.point.coordinates")
 
@@ -570,7 +567,6 @@ notebook:
     :linenos:
 
     import fiftyone as fo
-    import fiftyone.core.plots as fop
     import fiftyone.zoo as foz
     from fiftyone import ViewField as F
 
@@ -587,7 +583,7 @@ notebook:
     view = dataset.filter_labels("frames.detections", F("label") == "vehicle")
 
     # Plot the number of vehicles in each frame of a video dataset
-    plot = fop.lines(
+    plot = fo.lines(
         x="frames.frame_number",
         y=F("frames.detections.detections").length(),
         labels="id",
@@ -745,7 +741,7 @@ notebook:
 
     # Define some interesting plots
     plot1 = fo.NumericalHistogram(F("metadata.size_bytes") / 1024, bins=50, xlabel="image size (KB)")
-    plot2 = fo.NumericalHistogram("predictions.detections.confidence", bins=50)
+    plot2 = fo.NumericalHistogram("predictions.detections.confidence", bins=50, range=[0, 1])
     plot3 = fo.CategoricalHistogram("ground_truth.detections.label", order="frequency")
     plot4 = fo.CategoricalHistogram("predictions.detections.label", order="frequency")
 

fiftyone/core/collections.py

@@ -9263,6 +9263,25 @@ def _make_set_field_pipeline(
             new_field=new_field,
         )
 
+    def _get_values_by_id(self, path_or_expr, ids, link_field=None):
+        if link_field == "frames":
+            if self._is_frames:
+                id_path = "id"
+            else:
+                id_path = "frames.id"
+        elif link_field is not None:
+            _, id_path = self._get_label_field_path(link_field, "id")
+        elif self._is_patches:
+            id_path = "sample_id"
+        else:
+            id_path = "id"
+
+        values_map = {
+            i: v
+            for i, v in zip(*self.values([id_path, path_or_expr], unwind=True))
+        }
+        return [values_map.get(i, None) for i in ids]
+
 
 def _unwind_values(values, level=0):
     if not values: