Update my_pages/page_school.py

my_pages/page_school.py

@@ -1,60 +1,20 @@
 import streamlit as st
+import folium
+from streamlit_folium import st_folium
 import pandas as pd
-import plotly.graph_objects as go
-from geopy.distance import geodesic
-from utils import load_data, classify_score
 
 def render():
-    st.title("🏫 초등학교 주변 1km 안전 경로")
+    st.title("🏫 초등학교 주변 경로")
 
-    all_points = load_data()
-    safe_points = [(lat, lon, score) for lat, lon, score in all_points if classify_score(score) == "🟢 안전"]
+    df = pd.read_excel("data/초등학교.xlsx", engine="openpyxl")
+    df = df.dropna(subset=["refine_wgs84_lat", "refine_wgs84_logt"])
 
-    school_df = pd.read_excel("data/초등학교.xlsx", engine="openpyxl")
-    school_df = school_df.dropna(subset=["refine_wgs84_lat", "refine_wgs84_logt"])
+    m = folium.Map(location=[37.2, 127.0], zoom_start=11)
+    for _, row in df.iterrows():
+        folium.Marker(
+            location=[row["refine_wgs84_lat"], row["refine_wgs84_logt"]],
+            popup=row.get("학교명", "초등학교"),
+            icon=folium.Icon(color="blue", icon="info-sign")
+        ).add_to(m)
 
-    fig = go.Figure()
-    for _, row in school_df.iterrows():
-        name = row.get("faclt_nm", "학교")
-        lat_s = row["refine_wgs84_lat"]
-        lon_s = row["refine_wgs84_logt"]
-
-        nearby = [
-            (lat, lon, score) for lat, lon, score in safe_points
-            if geodesic((lat_s, lon_s), (lat, lon)).meters <= 1000
-        ]
-        nearby = sorted(nearby, key=lambda x: x[2], reverse=True)
-
-        if nearby:
-            lats = [pt[0] for pt in nearby]
-            lons = [pt[1] for pt in nearby]
-            fig.add_trace(go.Scattermapbox(
-                mode="lines+markers",
-                lat=lats, lon=lons,
-                marker=dict(size=8, color='green'),
-                line=dict(width=2, color='green'),
-                name=f"{name} 주변",
-                hoverinfo="text",
-                text=[f"{name}<br>점수: {s}" for (_, _, s) in nearby]
-            ))
-
-        fig.add_trace(go.Scattermapbox(
-            mode="markers+text",
-            lat=[lat_s], lon=[lon_s],
-            marker=dict(size=12, color='blue'),
-            text=[name],
-            textposition="top center",
-            name=f"{name} 위치"
-        ))
-
-    fig.update_layout(
-        mapbox=dict(
-            style="carto-positron",
-            center=dict(lat=37.198, lon=127.034),
-            zoom=11
-        ),
-        title="화성시 초등학교 주변 안전 경로",
-        margin=dict(l=0, r=0, t=40, b=0)
-    )
-
-    st.plotly_chart(fig, use_container_width=True)
+    st_folium(m, width=1000, height=700)