Update mylab/fixed_font_issue.py

mylab/fixed_font_issue.py

@@ -179,6 +179,59 @@ def create_text_report_with_viz_temp(report, conclusion, visualizations):
         return temp_txt.name
 
 
+def add_stats_to_figure(fig, df, y_axis, chart_type):
+    # Calculate statistics
+    min_val = df[y_axis].min()
+    max_val = df[y_axis].max()
+    avg_val = df[y_axis].mean()
+    median_val = df[y_axis].median()
+    std_dev_val = df[y_axis].std()
+
+    # Stats summary text
+    stats_text = (
+        f"📊 **Statistics**\n\n"
+        f"- **Min:** ${min_val:,.2f}\n"
+        f"- **Max:** ${max_val:,.2f}\n"
+        f"- **Average:** ${avg_val:,.2f}\n"
+        f"- **Median:** ${median_val:,.2f}\n"
+        f"- **Std Dev:** ${std_dev_val:,.2f}"
+    )
+
+    # Charts suitable for stats annotations
+    if chart_type in ["bar", "line", "scatter"]:
+        # Add annotation box
+        fig.add_annotation(
+            text=stats_text,
+            xref="paper", yref="paper",
+            x=1.05, y=1,
+            showarrow=False,
+            align="left",
+            font=dict(size=12, color="black"),
+            bordercolor="black",
+            borderwidth=1,
+            bgcolor="rgba(255, 255, 255, 0.8)"
+        )
+
+        # Add horizontal lines for min, median, avg, max
+        fig.add_hline(y=min_val, line_dash="dot", line_color="red", annotation_text="Min", annotation_position="bottom right")
+        fig.add_hline(y=median_val, line_dash="dash", line_color="orange", annotation_text="Median", annotation_position="top right")
+        fig.add_hline(y=avg_val, line_dash="dashdot", line_color="green", annotation_text="Avg", annotation_position="top right")
+        fig.add_hline(y=max_val, line_dash="dot", line_color="blue", annotation_text="Max", annotation_position="top right")
+
+    elif chart_type == "box":
+        # Box plots already show distribution (no extra stats needed)
+        pass
+
+    elif chart_type == "pie":
+        # Pie charts don't need statistical overlays
+        st.info("📊 Pie charts focus on proportions. No additional stats displayed.")
+    
+    else:
+        st.warning(f"⚠️ No stats added for unsupported chart type: {chart_type}")
+
+    return fig
+
+
 # Function to create PDF with report text and visualizations
 def create_pdf_report_with_viz(report, conclusion, visualizations):
     pdf = FPDF()