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.streamlit/config.toml

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+[theme]
+
+# Primary accent for interactive elements
+primaryColor = "#00C649"
+
+# Background color for the main content area
+backgroundColor = "#FFFFFF"
+
+# Background color for sidebar and most interactive widgets
+secondaryBackgroundColor = "#F5F5F5"
+
+# Color used for almost all text
+textColor = "#2B4150"
+
+# Font family for all text in the app, except code blocks
+# Accepted values (serif | sans serif | monospace) 
+# Default: "sans serif"
+font = "sans serif"

ISDMap.py

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+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('/Users/cheynelevesseur/Desktop/Python_Code/Mapping_Projects/ISD_Map/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.")

requirements.txt

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+streamlit
+pandas
+geopandas
+folium
+fiona
+pyogrio # Optional, if you decide to use it as an alternative to fiona
+streamlit_folium
+openpyxl