Update app.py

app.py

@@ -1,3 +1,105 @@
+# import streamlit as st
+# import pandas as pd
+# import geopandas
+# import folium
+# from streamlit_folium import st_folium
+# from pathlib import Path
+# import tempfile
+
+# # Streamlit page setup
+# st.set_page_config(page_title="ISD Mapping", layout="centered", initial_sidebar_state="collapsed")
+# st.image('MTSS.ai_Logo.png', width=300)  # Adjust path as needed
+# st.header('MTSS Maps™ | ISDs')
+# st.subheader('Map Generator')
+
+# # CSV file upload
+# # uploaded_file = st.file_uploader("Upload your ISD data CSV", type=["csv"])
+# # if uploaded_file is not None:
+# #     df = pd.read_csv(uploaded_file)
+
+# # Excel file upload
+# uploaded_file = st.file_uploader("Upload your ISD data XLSX", type=["xlsx"])
+# if uploaded_file is not None:
+#     # Specify dtype as str for 'ISD Code' to ensure it reads in as string
+#     df = pd.read_excel(uploaded_file, dtype={"ISD Code": str})
+    
+#     # Add column "Count" and add 1 to all rows
+#     df['Count'] = 1
+
+#     # If the 'ISD Code' column contains integers without leading zeros, add them
+#     df['ISD Code'] = df['ISD Code'].apply(lambda x: str(x).zfill(5))
+    
+#     # Load GeoJSON file from the root directory
+#     geojson_filename = "Intermediate_School_Districts.geojson"  # Name of your GeoJSON file
+#     geojson_path = Path(__file__).parent / geojson_filename  # Construct the path to the GeoJSON file
+    
+#     if geojson_path.exists():
+#         Mi_ISD_geojson = geopandas.read_file(str(geojson_path))
+#         Mi_ISD_geojson.rename(columns={'ISD': 'ISD Code', 'NAME': 'ISD'}, inplace=True)
+        
+#         # Drop unwanted columns
+#         columns_to_drop = ['OBJECTID', 'LABEL', 'TYPE', 'SQKM', 'SQMILES', 'ACRES', 'VER','LAYOUT', 'PENINSULA', 'ISDCode', 'ISD1', 'ShapeSTArea', 'ShapeSTLength']
+#         Mi_ISD_geojson.drop(columns=columns_to_drop, axis=1, inplace=True)
+        
+#         # Ensure 'ISD Code' is treated as a string to preserve leading zeros
+#         Mi_ISD_geojson['ISD Code'] = Mi_ISD_geojson['ISD Code'].astype(str)
+        
+#         # If the 'ISD Code' column contains integers without leading zeros, add them
+#         Mi_ISD_geojson['ISD Code'] = Mi_ISD_geojson['ISD Code'].apply(lambda x: str(x).zfill(5))
+
+#         # Merge GeoJSON file and DataFrame
+#         ISD_Combined = pd.merge(Mi_ISD_geojson, df, on='ISD Code', how='left', suffixes=('', '_drop')).fillna(0)
+                                     
+#         # Identify any columns that end with '_drop' and drop them
+#         ISD_Combined = ISD_Combined.loc[:, ~ISD_Combined.columns.str.endswith('_drop')]
+
+#         # Generating the Folium map
+#         def style_function(feature):
+#             count = feature['properties'].get('Count', 0)
+#             return {
+#                 'fillColor': '#48BB88' if count > 0 else 'white',
+#                 'color': 'black',
+#                 'weight': 0.15,
+#                 'fillOpacity': 0.7 if count > 0 else 0.25,
+#                 'lineOpacity': 0.4,
+#             }
+
+#         m = folium.Map(location=[44.3148, -85.6024], zoom_start=7)
+#         folium.GeoJson(
+#             ISD_Combined.to_json(),
+#             style_function=style_function,
+#             tooltip=folium.GeoJsonTooltip(fields=['ISD'], aliases=['ISD:'])
+#         ).add_to(m)
+
+#     # call to render Folium map in Streamlit
+#     st_data = st_folium(m, width=725)
+    
+#     # Save the map to a temporary HTML file and offer it for download
+#     with tempfile.NamedTemporaryFile(delete=False, suffix=".html") as tmpfile:
+#         m.save(tmpfile.name)
+#         tmpfile.seek(0)
+#         with open(tmpfile.name, "rb") as file:
+#             btn = st.download_button(
+#                     label="Download Map as HTML",
+#                     data=file,
+#                     file_name="District_Map.html",
+#                     mime="text/html"
+#                 )
+    
+#    # Displaying ISDs with a count of 1
+#     ISDs_with_one = ISD_Combined[ISD_Combined['Count'] == 1]
+#     if not ISDs_with_one.empty:
+#         st.write("ISDs:")
+#         # st.dataframe(ISDs_with_one[['ISD', 'ISD Code']])
+#         st.dataframe(ISDs_with_one[['ISD', 'ISD Code']].reset_index(drop=True))
+        
+#         # Informing the user about the total number of ISD with a count of 1
+#         total_ISDs_with_one = len(ISDs_with_one)
+#         st.write(f"Total number of ISD: {total_ISDs_with_one}")
+#     else:
+#         st.write("No ISD have a count of 1.")
+
+
 import streamlit as st
 import pandas as pd
 import geopandas
@@ -71,6 +173,19 @@ if uploaded_file is not None:
             tooltip=folium.GeoJsonTooltip(fields=['ISD'], aliases=['ISD:'])
         ).add_to(m)
 
+    # Displaying ISDs with a count of 1
+    ISDs_with_one = ISD_Combined[ISD_Combined['Count'] == 1]
+    if not ISDs_with_one.empty:
+        st.write("ISDs:")
+        # st.dataframe(ISDs_with_one[['ISD', 'ISD Code']])
+        st.dataframe(ISDs_with_one[['ISD', 'ISD Code']].reset_index(drop=True))
+        
+        # Informing the user about the total number of ISD with a count of 1
+        total_ISDs_with_one = len(ISDs_with_one)
+        st.write(f"Total number of ISD: {total_ISDs_with_one}")
+    else:
+        st.write("No ISD have a count of 1.")
+            
     # call to render Folium map in Streamlit
     st_data = st_folium(m, width=725)
     
@@ -86,15 +201,3 @@ if uploaded_file is not None:
                     mime="text/html"
                 )
     
-   # Displaying ISDs with a count of 1
-    ISDs_with_one = ISD_Combined[ISD_Combined['Count'] == 1]
-    if not ISDs_with_one.empty:
-        st.write("ISDs:")
-        # st.dataframe(ISDs_with_one[['ISD', 'ISD Code']])
-        st.dataframe(ISDs_with_one[['ISD', 'ISD Code']].reset_index(drop=True))
-        
-        # Informing the user about the total number of ISD with a count of 1
-        total_ISDs_with_one = len(ISDs_with_one)
-        st.write(f"Total number of ISD: {total_ISDs_with_one}")
-    else:
-        st.write("No ISD have a count of 1.")