fix: translate plotting labels to English and remove redundant Chinese font settings

Author: Tonny@Home

quantpits/scripts/plot_model_opinions.py

@@ -20,9 +20,9 @@
 except ImportError:
     pass
 
-# 支持中文显示
-plt.rcParams['font.sans-serif'] = ['SimHei', 'WenQuanYi Micro Hei', 'Microsoft YaHei']
-plt.rcParams['axes.unicode_minus'] = False
+# Support English labels
+# plt.rcParams['font.sans-serif'] = ['SimHei', 'WenQuanYi Micro Hei', 'Microsoft YaHei']
+# plt.rcParams['axes.unicode_minus'] = False
 
 def main():
     parser = argparse.ArgumentParser(description="绘制 model_opinions 排名折线图")
@@ -79,11 +79,11 @@ def main():
     # 调整 X 轴标签角度，防止重叠
     plt.xticks(rotation=30, ha='right')
 
-    plt.ylabel('模型预测排名 (数字越小越靠前)')
-    plt.title(f'模型预测排名对比 - {os.path.basename(csv_file)}')
+    plt.ylabel('Model Prediction Rank (Smaller is Better)')
+    plt.title(f'Model Prediction Rank Comparison - {os.path.basename(csv_file)}')
 
-    # 将图例画在外面
-    plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0., title="标的 (Instrument)")
+    # Legend outside
+    plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0., title="Instrument")
 
     plt.tight_layout()
 

ui/dashboard.py

@@ -88,7 +88,14 @@ def render_macro_performance(port_a, returns, market):
     if not bench_returns.eq(0).all():
         fig1.add_trace(go.Scatter(x=bench_cum.index, y=bench_cum.values, mode='lines', name=f'Benchmark ({market_col})', line=dict(color='orange', width=2)))
 
-    fig1.update_layout(title="Cumulative Returns on Log Scale", yaxis_type="log", yaxis_title="Cumulative Return (Log)", xaxis_title="Date", template="plotly_white")
+    fig1.update_layout(
+        title="Cumulative Returns on Log Scale", 
+        yaxis_type="log", 
+        yaxis_title="Cumulative Return (Log)", 
+        xaxis_title="Date", 
+        template="plotly_white",
+        legend_title_text="Legend"
+    )
     st.plotly_chart(fig1, use_container_width=True)
 
     # 2. Underwater Plot
@@ -140,6 +147,12 @@ def render_micro_execution(exec_a):
             x='MAE', 
             y='MFE', 
             color='Is_Profitable_Intraday', 
+            labels={
+                '证券代码': 'Instrument',
+                '成交日期': 'Date',
+                '成交价格': 'Execution Price',
+                'Is_Profitable_Intraday': 'Status'
+            },
             hover_data=['证券代码', '成交日期', '成交价格', 'Trade_Type'],
             title="MFE vs. MAE Scatter (Intraday Path Dependency)",
             color_discrete_map={'Profitable': 'green', 'Loss': 'red'}
@@ -302,7 +315,11 @@ def top1_conc(g):
             fig1.add_trace(go.Scatter(x=daily_count.index, y=daily_count.values, name="Holdings Count", mode="lines", line=dict(color="blue")), secondary_y=False)
             fig1.add_trace(go.Scatter(x=concentration.index, y=concentration.values, name="Top1 Concentration", mode="lines", line=dict(color="red")), secondary_y=True)
 
-            fig1.update_layout(title="Holdings Count & Concentration Over Time", template="plotly_white")
+            fig1.update_layout(
+                title="Holdings Count & Concentration Over Time", 
+                template="plotly_white",
+                legend_title_text="Metric"
+            )
             fig1.update_yaxes(title_text="Count", secondary_y=False)
             fig1.update_yaxes(title_text="Concentration", tickformat=".1%", secondary_y=True)
             st.plotly_chart(fig1, use_container_width=True)