Update app.py

app.py

@@ -496,19 +496,33 @@ elif viz_type == "Complaints by Housing Block and Type":
 elif viz_type == "Complaints by Housing Block and Type (Incorporating Suggestions Based on Professor's Feedback)":
     st.subheader("Complaints by Housing Block and Type- Incorporating Suggestions Based on Professor's Feedback")
     
-    # Filtering the data based on the selected year and housing block
-    filtered_data_time = data  # Use filtered_data if date range is not needed
-    if selected_year != 'All Time':
-        filtered_data_time = filtered_data_time[filtered_data_time['Year Reported'] == selected_year]
-    
-    # Remove the specified blocks (3400 block, 3500 block, 3600 block, ..., 5000 block)
+    # Define the blocks to be excluded
     excluded_blocks = [
         '3400 block', '3500 block', '3600 block', '3700 block', '3800 block', '3900 block', 
         '4000 block', '4100 block', '4200 block', '4300 block', '4400 block', '4500 block', 
         '4600 block', '4700 block', '4800 block', '4900 block', '5000 block'
     ]
     
-    # Excluding the blocks from the data
+    # Creating the desired order, excluding unwanted blocks
+    desired_order = [
+        '1 block', '100 block', '200 block', '300 block', '400 block', '500 block',
+        '600 block', '700 block', '800 block', '900 block', '1000 block', '1100 block',
+        '1200 block', '1300 block', '1400 block', '1500 block', '1600 block', 
+        '1700 block', '1800 block', '1900 block', '2000 block', '2100 block', 
+        '2200 block', '2300 block', '2400 block', '2500 block', '2600 block', 
+        '2700 block', '2800 block', '2900 block', '3000 block', '3100 block', 
+        '3200 block', '3300 block', '3500 block', '3600 block', '3700 block', 
+        '3800 block', '3900 block', '4000 block', '4100 block', '4200 block', 
+        '4300 block', '4400 block', '4500 block', '4600 block', '4700 block', 
+        '4800 block', '4900 block', '5000 block'
+    ]
+
+    # Filtering the data based on the selected year and housing block
+    filtered_data_time = data  # Use filtered_data if date range is not needed
+    if selected_year != 'All Time':
+        filtered_data_time = filtered_data_time[filtered_data_time['Year Reported'] == selected_year]
+    
+    # Excluding blocks from the data (3400 block, 3500 block, 3600 block, ..., 5000 block)
     filtered_data_time = filtered_data_time[~filtered_data_time['Housing Block'].isin(excluded_blocks)]
     
     # Further filtering by Housing Block (if applicable)
@@ -527,6 +541,9 @@ elif viz_type == "Complaints by Housing Block and Type (Incorporating Suggestion
     # Ensuring the pivoted data is numeric for plotting
     complaint_pivot = complaint_pivot.astype(float)
 
+    # Reordering the index of the pivot table according to the desired order, excluding the unwanted blocks
+    complaint_pivot = complaint_pivot.reindex(desired_order)
+
     # If a specific block is selected, only show that block on the x-axis
     if selected_block != 'All Blocks':
         complaint_pivot = complaint_pivot.loc[[selected_block]]
@@ -572,6 +589,7 @@ elif viz_type == "Complaints by Housing Block and Type (Incorporating Suggestion
     """)
 
 
+
 # Footer
 st.markdown("---")
 st.markdown("Dataset provided by the City of Urbana Open Data Portal.")