Update app.py

app.py

@@ -208,21 +208,36 @@ def plot_global_map():
     df_grouped['log_total_films'] = np.log1p(df_grouped['total_films'])
 
     # Create a choropleth map with the log-transformed data
-    fig = px.choropleth(df_grouped, locations='region', locationmode='country names',
-                        color='log_total_films', hover_name='region',
-                        color_continuous_scale='solar',  # Change the color scheme here
-                        labels={'log_total_films': 'Total Films'})
-
+    fig = px.choropleth(
+        df_grouped,
+        locations='region',
+        locationmode='country names',
+        color='log_total_films',
+        hover_name='region',
+        color_continuous_scale='solar',  # Change the color scheme here
+        labels={'log_total_films': 'Total Films'}
+    )
+    
     # Update layout of the map
-    fig.update_layout(title='Total Films by Country',
-                      geo=dict(showframe=False, showcoastlines=False,
-                               projection_type='equirectangular'),
-                      plot_bgcolor='black',  # Set plot background color to black
-                      paper_bgcolor='black',  # Set paper background color to black
-                      font=dict(color='white')  # Set text color to white
-                      )
-
-    return fig
+    fig.update_layout(
+        title={
+            'text': 'Total Films by Country',
+            'x': 0.5,  # Center the title
+            'xanchor': 'center',
+            'yanchor': 'top',
+            'font': {'color': 'white'}  # Set title text color to white
+        },
+        geo=dict(
+            showframe=False,
+            showcoastlines=False,
+            projection_type='orthographic'  # Change projection to orthographic for a globe appearance
+        ),
+        plot_bgcolor='black',  # Set plot background color to black
+        paper_bgcolor='black',  # Set paper background color to black
+        font=dict(color='white')  # Set text color to white
+    )
+    
+    fig.show()
 
 
 # Function to fetch summary info