#84 Fixes of Schools are not plotted in map in streamlit app (#90)

* Fixes of Schools are not plotted in map in streamlit app

* Fetch Schools Latitude,Logitude from session rather than fetching data from given school's sample_data

* Use School List instead of fetching lat,long,scode from school-center-distance and use dataframe in tab3 instead of re-reading from tsv file

---------

Co-authored-by: nirmala.sharma <[email protected]>

Author: nirmala-sharma

app.py

@@ -55,6 +55,7 @@
 
     calculate = st.sidebar.button("Calculate Centers", type="primary", use_container_width=True)
 
+school_df = None
 # Tabs
 tab1, tab2, tab3, tab4, tab5 = st.tabs([
     "School Center",
@@ -73,7 +74,9 @@
 # Show data in Tabs as soon as the files are uploaded
 if schools_file:
     df = pd.read_csv(schools_file, sep="\t")
+    school_df = df
     tab3.dataframe(df)
+    
 else:
     tab3.info("Upload data to view it.", icon="ℹ️")
 
@@ -193,9 +196,37 @@ def save_file_to_temp(file_obj):
                         icon=folium.Icon(color="red")
                     )
                 )
+                
+            # Initialize an empty dictionary to store school coordinates
+            filtered_schools = {}  
+              
+            if school_df is not None:
+              
+              for index, row in school_df.iterrows():                       
+               scode = row['scode']
+               school_lat = row['lat']
+               school_long = row['long']
+ 
+               if scode in filtered_df['scode'].values:
+                  filtered_schools.setdefault(scode, []).append((school_lat, school_long))
+                 
+              for index, school in filtered_df.iterrows():
+               lat_long_list = filtered_schools.get(school['scode'], [])
+             
+               for school_lat, school_long in lat_long_list:
+                if school_lat is not None and school_long is not None:
+                 fg.add_child(
+                 folium.Marker(
+                    location=[school_lat, school_long],
+                    popup=f"{school['school'].title()}\nAllocation: {school['allocation']}",
+                    tooltip=f"{school['school']}",
+                    icon=folium.Icon(color="blue")
+                 )
+                )
+                 
             m.add_child(fg)
             with tab1:
-                st_folium( m, width=1200, height=400 )
+                st_folium( m, width=1200, height=400)
 
         tab1.divider()
         tab1.subheader('All Data')