fixed bug

app.py

@@ -74,21 +74,22 @@ nonprofit_color =  "#D77031" #orange
 from functools import reduce
 
 def get_summary(ca, combined_filter, column, colors=None):
-    df = (ca
-        .filter(combined_filter)
+    df = ca.filter(combined_filter)
+
+    if colors is not None and not colors.empty: # df used for chart. 
+        df = df.filter(_.reGAP <3) # only show gaps 1 and 2 for chart.
+        
+    df = (df
         .group_by(*column)  # unpack the list for grouping
         .aggregate(percent_protected=100 * _.Acres.sum() / ca_area_acres)
         .mutate(percent_protected=_.percent_protected.round(1))
-    )
+         )
     
-    if colors is not None and not colors.empty: # df used for chart. 
-        df = (df #add color column + only gaps 1 and 2. 
-              .filter(_.reGAP <3) 
-              .inner_join(colors, column)       
-             ) 
-        # df = df.inner_join(colors, column)
+    if colors is not None and not colors.empty: #
+        df = df.inner_join(colors, column) # chart colors 
+             
     
-    df = df.cast({col: "string" for col in column})  
+    df = df.cast({col: "string" for col in column})
     df = df.to_pandas()
     return df
 
@@ -105,7 +106,7 @@ def summary_table(column, colors, filter_cols, filter_vals):
                 filters.append(getattr(_, filter_col) == filter_val[0])
                 
     combined_filter = reduce(lambda x, y: x & y, filters)
-    
+
     df = get_summary(ca, combined_filter, [column], colors) # df used for charts 
     df_tab = get_summary(ca, combined_filter, filter_cols, colors = None) #df used for printed table