Add label_dict to tile plots (#2007)

Summary:
Pull Request resolved: #2007

Most of the plots now allow passing along a label_dict. The tile plots didn't have it, but now they do. This enables having a legible plot with long metric names.

Reviewed By: Balandat, ItsMrLin

Differential Revision: D51502544

fbshipit-source-id: 76f4d1de5a59fcb3cecf6329c20346f4f79951a3

ax/plot/scatter.py

@@ -417,7 +417,11 @@ def plot_multiple_metrics(
         layout_offset_x = 0
     rel = checked_cast_optional(bool, kwargs.get("rel"))
     if rel is not None:
-        warnings.warn("Use `rel_x` and `rel_y` instead of `rel`.", DeprecationWarning)
+        warnings.warn(
+            "Use `rel_x` and `rel_y` instead of `rel`.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
         rel_x = rel
         rel_y = rel
     traces = _multiple_metric_traces(
@@ -1298,6 +1302,7 @@ def tile_fitted(
     fixed_features: Optional[ObservationFeatures] = None,
     data_selector: Optional[Callable[[Observation], bool]] = None,
     scalarized_metric_config: Optional[List[Dict[str, Any]]] = None,
+    label_dict: Optional[Dict[str, str]] = None,
 ) -> AxPlotConfig:
     """Tile version of fitted outcome plots.
 
@@ -1318,19 +1323,24 @@ def tile_fitted(
             the name of the new scalarized metric, and the value is a dictionary mapping
             each metric to its weight. e.g.
             {"name": "metric1:agg", "weight": {"metric1_c1": 0.5, "metric1_c2": 0.5}}.
+        label_dict: A dictionary that maps the label to an alias to be used in the plot.
     """
     metrics = metrics or list(model.metric_names)
     nrows = int(np.ceil(len(metrics) / 2))
     ncols = min(len(metrics), 2)
 
     # make subplots (plot per row)
+    if label_dict is None:
+        subplot_titles = metrics
+    else:
+        subplot_titles = [label_dict.get(metric, metric) for metric in metrics]
     fig = subplots.make_subplots(
         rows=nrows,
         cols=ncols,
         print_grid=False,
         shared_xaxes=False,
         shared_yaxes=False,
-        subplot_titles=tuple(metrics),
+        subplot_titles=tuple(subplot_titles),
         horizontal_spacing=0.05,
         vertical_spacing=0.30 / nrows,
     )
@@ -1671,6 +1681,7 @@ def tile_observations(
     metrics: Optional[List[str]] = None,
     arm_names: Optional[List[str]] = None,
     arm_noun: str = "arm",
+    label_dict: Optional[Dict[str, str]] = None,
 ) -> AxPlotConfig:
     """
     Tiled plot with all observed outcomes.
@@ -1686,6 +1697,8 @@ def tile_observations(
         rel: Plot relative values, if experiment has status quo.
         metrics: Limit results to this set of metrics.
         arm_names: Limit results to this set of arms.
+        arm_noun: Noun to use instead of "arm".
+        label_dict: A dictionary that maps the label to an alias to be used in the plot.
 
     Returns: Plot config for the plot.
     """
@@ -1703,4 +1716,5 @@ def tile_observations(
         rel=rel and (experiment.status_quo is not None),
         metrics=metrics,
         arm_noun=arm_noun,
+        label_dict=label_dict,
     )

ax/plot/tests/test_tile_fitted.py

@@ -141,8 +141,18 @@ def test_TileObservations(self) -> None:
         ]:
             self.assertIn(key, config.data["layout"])
 
+        self.assertEqual(
+            config.data["layout"]["annotations"][0]["text"], "ax_test_metric"
+        )
+
         # Data
         self.assertEqual(config.data["data"][0]["x"], ["0_1", "0_2"])
         self.assertEqual(config.data["data"][0]["y"], [2.0, 2.25])
         self.assertEqual(config.data["data"][0]["type"], "scatter")
         self.assertIn("Arm 0_1", config.data["data"][0]["text"][0])
+
+        label_dict = {"ax_test_metric": "mapped_name"}
+        config = tile_observations(
+            experiment=exp, arm_names=["0_1", "0_2"], rel=False, label_dict=label_dict
+        )
+        self.assertEqual(config.data["layout"]["annotations"][0]["text"], "mapped_name")