Update app.py

app.py

@@ -77,30 +77,36 @@ viz_type = st.sidebar.selectbox("Select Visualization", [
     "Top Complaint Types", "Complaints Over Time", "Complaints by Housing Block and Type"
 ])
 
-# Date Range Selector for Complaints Over Time
-start_date = st.sidebar.date_input("Start Date", pd.to_datetime("2020-01-01"))
-end_date = st.sidebar.date_input("End Date", pd.to_datetime("2024-12-31"))
+# Date Range Selector for Complaints Over Time (only show when Complaints Over Time is selected)
+if viz_type == "Complaints Over Time":
+    start_date = st.sidebar.date_input("Start Date", pd.to_datetime("2020-01-01"))
+    end_date = st.sidebar.date_input("End Date", pd.to_datetime("2024-12-31"))
 
-# Dropdown for Housing Block
-block_options = ['All Blocks'] + sorted(data['Housing Block'].unique().tolist())
-selected_block = st.sidebar.selectbox("Select Housing Block", options=block_options)
+# Dropdown for Housing Block (only show when Complaints by Housing Block and Type is selected)
+if viz_type == "Complaints by Housing Block and Type":
+    block_options = ['All Blocks'] + sorted(data['Housing Block'].unique().tolist())
+    selected_block = st.sidebar.selectbox("Select Housing Block", options=block_options)
 
 # Filter data based on selected year
 filtered_data = data if selected_year == 'All Time' else data[data['Year Reported'] == selected_year]
 
-# Filter data based on date range
-filtered_data_time = filtered_data[
-    (filtered_data['Date Reported'] >= pd.to_datetime(start_date)) & 
-    (filtered_data['Date Reported'] <= pd.to_datetime(end_date))
-]
-
-# Filter data based on selected housing block
-if selected_block != 'All Blocks':
+# Filter data based on date range (only for Complaints Over Time visualization)
+if viz_type == "Complaints Over Time":
+    filtered_data_time = filtered_data[
+        (filtered_data['Date Reported'] >= pd.to_datetime(start_date)) & 
+        (filtered_data['Date Reported'] <= pd.to_datetime(end_date))
+    ]
+else:
+    filtered_data_time = filtered_data
+
+# Filter data based on selected housing block (only for Complaints by Housing Block visualization)
+if viz_type == "Complaints by Housing Block and Type" and selected_block != 'All Blocks':
     filtered_data_time = filtered_data_time[filtered_data_time['Housing Block'] == selected_block]
 
 # Header for selected year
 st.header(f"Analysis for {'All Time' if selected_year == 'All Time' else selected_year}")
 
+
 # Display metrics
 col1, col2 = st.columns(2)
 with col1: