add overALL COUNTS OF commits to subregion mapping

utils/plot.py

@@ -55,9 +55,16 @@ def get_commits_per_region(df,url):
     
     # Group by Year and sub-region-prediction, then count unique sub-regions
     sub_region_counts = df.groupby(['Year', "sub-region-prediction"])["sub-region-prediction"].count().reset_index(name='Count')
+    # Calculate the sums for each region
+    region_sums = sub_region_counts.groupby('sub-region-prediction')['Count'].sum().reset_index()
+
+    # Append 'All' rows to the DataFrame
+    df_all = region_sums.copy()
+    df_all['Year'] = 'Overall'
+    df_result = pd.concat([sub_region_counts, df_all], ignore_index=True, sort=False)
+
     # Merge the sub_region_counts DataFrame with the Country_to_region DataFrame
-    merged_df = sub_region_counts.merge(Country_to_region, on="sub-region-prediction", how="left")
-    color_max=df["sub-region-prediction"].value_counts().max()
+    merged_df = df_result.merge(Country_to_region, on="sub-region-prediction", how="left")
     # Create a choropleth map using plotly.express
     fig = go.Figure(data=px.choropleth(
         merged_df,