Update app.py

app.py

@@ -57,21 +57,29 @@ def create_trend_chart(space_id, daily_ranks_df):
         return None
 
 def get_duplicate_spaces(top_100_spaces):
-    # ID별 등장 횟수 계산
-    id_counts = top_100_spaces['id'].value_counts()
-    # 2회 이상 등장하는 ID만 필터링
-    duplicates = id_counts[id_counts >= 2]
-    return duplicates
+    # ID별 trending score 합계 계산
+    score_sums = top_100_spaces.groupby('id')['trendingScore'].sum().sort_values(ascending=False)
+    # 상위 20개만 선택
+    top_20_scores = score_sums.head(20)
+    return top_20_scores
 
-def create_duplicates_chart(duplicates):
-    if duplicates.empty:
+def create_duplicates_chart(score_sums):
+    if score_sums.empty:
         return None
     
+    # 순위 매기기 (1부터 20까지)
+    df = pd.DataFrame({
+        'id': score_sums.index,
+        'score': score_sums.values,
+        'rank': range(1, len(score_sums) + 1)
+    })
+    
     fig = px.bar(
-        x=duplicates.index,
-        y=duplicates.values,
-        title="Spaces with Multiple Entries in Top 100",
-        labels={'x': 'Space ID', 'y': 'Number of Entries'},
+        df,
+        x='id',
+        y='rank',
+        title="Top 20 Spaces by Total Trending Score",
+        labels={'id': 'Space ID', 'rank': 'Rank'},
         height=400
     )
     
@@ -80,13 +88,22 @@ def create_duplicates_chart(duplicates):
         margin=dict(t=50, r=20, b=40, l=40),
         plot_bgcolor='white',
         paper_bgcolor='white',
-        xaxis_tickangle=-45
+        xaxis_tickangle=-45,
+        yaxis=dict(
+            range=[20.5, 0.5],  # Y축 반전
+            tickmode='linear',
+            tick0=1,
+            dtick=1
+        )
     )
     
     fig.update_traces(
         marker_color='#4CAF50'
     )
     
+    fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='lightgray')
+    fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='lightgray')
+    
     return fig
 
 def update_display(selection):