Update app.py

app.py

@@ -99,13 +99,14 @@ def extract_vertices(gdf):
             except:
                 df = pd.DataFrame({'Lat': [np.nan],
                                    'Lon': [np.nan], })
+        df['index_gdf'] = i
         all_data.append(df)
-    return pd.concat(all_data)
+    return pd.concat(all_data).query('Lat==Lat').reset_index(drop=1).drop(columns='index_gdf')
 
 
 #Side Bar
 address = st.sidebar.text_input(
-    "Address", "123 Main St, Sacramento, CA 95670")
+    "Address", "Sacramento, CA")
 date = st.sidebar.date_input("Date",  pd.Timestamp(2021, 7, 14), key='date')
 number_days_range = st.sidebar.selectbox(
     'Within Day Range:', (5, 10, 30, 90, 180))
@@ -132,7 +133,7 @@ start_date_str, end_date_str = start_date.strftime(
     '%Y-%m-%d'), end_date.strftime('%Y-%m-%d')
 gdf_cut = gdf.query(f"'{start_date_str}'<=DiscoveryDate<='{end_date_str}'")
 gdf_cut['DiscoveryDate'] = gdf_cut['DiscoveryDate'].dt.strftime('%Y-%m-%d')
-gdf_cut['Incident']=gdf_cut['Incident'].str.strip()
+
 
 #Distance to Fire
 gdf_cut["Lat_address"] = lat
@@ -157,18 +158,15 @@ indicents = list(gdf_cut['Incident'].values)
 incident_edge = st.sidebar.selectbox(
     'Find Distance to Closest Edge:', indicents)
 
-st.header(indicents)
-gdf_cut.query(f"Incident=='{incident_edge}'")
-gdf_cut[gdf_cut['Incident']==incident_edge]
-
-vertices = extract_vertices(gdf_cut.query(f"Incident=='{incident_edge}'"))
+vertices = extract_vertices(gdf_cut[gdf_cut['Incident']==incident_edge])
 vertices["Lat_address"] = lat
 vertices["Lon_address"] = lon
 vertices['Distance'] = [
     distance(i) for i in vertices.values]
 closest_edge = vertices[vertices['Distance']
                         == vertices['Distance'].min()].head()
-
+closest_edge
+vertices
 try:
     
     lon_point, lat_point = closest_edge[['Lon', 'Lat']].values[0]
@@ -190,3 +188,4 @@ with col2:
     gdf_cut[['Incident', 'DiscoveryDate', 'Size_acres','Miles to Fire Centroid']]
     
     
+