Bokeh figure - adjustable width

analyze_winscore.py

@@ -125,12 +125,18 @@ def create_scatter_plot_with_curve_with_variances_named(category, variance_acros
     })
 
     # Create a figure for the category
-    p = figure(#width=900, height=800, #title=f"{category} vs Model Size vs Variance Across Categories",
-               #tools="pan,wheel_zoom,box_zoom,reset,save", 
-               tooltips=[("Model", "@model_names"), 
-                         ("Model Size (B parameters)", "@sizes"), 
-                         ("Variance", "@variance"),  # Added variance to the tooltip
-                         ("Performance", "@y")])
+    p = figure(
+        sizing_mode="stretch_width",
+        height=800,
+        #title=f"{category} vs Model Size vs Variance Across Categories",
+        #tools="pan,wheel_zoom,box_zoom,reset,save",
+        tooltips=[
+            ("Model", "@model_names"), 
+            ("Model Size (B parameters)", "@sizes"), 
+            ("Variance", "@variance"),  # Added variance to the tooltip
+            ("Performance", "@y"),
+        ]
+    )
 
     # Plot filtered data with unique colors and scaled marker sizes
     p.scatter('x', 'y', size='marker_sizes', source=source_filtered, fill_alpha=0.6, color='color', marker='symbol')