Adjust Axis Aspect Ratios

app.py

@@ -242,6 +242,7 @@ def create_table(df_distances):
 def create_figure(dfs, unique_subsets, color_maps, model_name):
     # Se crea el plot para el embedding reducido (asumiendo que es 2D)
     fig = figure(width=600, height=600, tools="wheel_zoom,pan,reset,save", active_scroll="wheel_zoom", tooltips=TOOLTIPS, title="")
+    fig.match_aspect = True
     
     # Renderizar datos reales
     real_renderers = add_dataset_to_fig(fig, dfs["real"], unique_subsets["real"],
@@ -454,7 +455,7 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
     slope = model_global.coef_[0]
     intercept = model_global.intercept_
     
-    scatter_fig = figure(width=600, height=600, tools="pan,wheel_zoom,reset,save", 
+    scatter_fig = figure(width=600, height=600, tools="pan,wheel_zoom,reset,save", y_range=(0, 1), 
                          title="Scatter Plot: Distance vs F1")
     source_colors = {
         "es-digital-paragraph-degradation-seq": "blue",
@@ -480,6 +481,7 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
     scatter_fig.legend.location = "top_right"
     hover_tool = HoverTool(tooltips=[("Distance", "@x"), ("F1", "@y"), ("Subset", "@Fuente")])
     scatter_fig.add_tools(hover_tool)
+    # scatter_fig.match_aspect = True
     
     x_line = np.linspace(all_x_arr.min(), all_x_arr.max(), 100)
     y_line = model_global.predict(x_line.reshape(-1, 1))
@@ -930,6 +932,7 @@ def run_model(model_name):
         show_legend_second = st.checkbox("Show Legend", value=False, key=f"legend_second_{model_name}")
         fig_all.legend.visible = show_legend_second
         fig_all.legend.location = "top_right"
+        fig_all.match_aspect = True
 
         st.bokeh_chart(fig_all)
 
@@ -983,11 +986,13 @@ def run_model(model_name):
             tools="pan,wheel_zoom,reset,save,hover",
             active_scroll="wheel_zoom",
             title="Scatter Plot: Distance vs F1 (Nueva PCA)",
-            background_fill_color="white"
+            background_fill_color="white",
+            y_range=(0, 1)
         )
         # Configurar únicamente grid horizontal
         scatter_fig_new.xgrid.grid_line_color = None
         scatter_fig_new.ygrid.grid_line_color = "gray"
+        scatter_fig_new.match_aspect = True
 
         # Mantenemos el mismo código de colores que en el otro scatter plot
         source_colors = {