Update app.py

app.py

@@ -59,25 +59,15 @@ scores_df = calculate_combined_scores_for_stocks(sp500_list, sp500_averages)
 scores_df_sorted = scores_df.sort_values(by='Combined Score', ascending=False)
 
 # Layout for displaying overview and details
-col1, col2 = st.columns([1, 3])
-
-def color_combined_score(value):
-    """Colors the combined score cell based on its value."""
-    if value > 0:
-        color = 'green'
-    elif value < 0:
-        color = 'red'
-    else:
-        color = 'none'
-    return f'background-color: {color};'
-
+col1, col2 = st.columns([3, 5])  # For example, this will give the first column 3/8 of the width
 
 with col1:
     st.subheader("Stock Overview")
-    # Convert 'Combined Score' to numeric if it's not already
+    # Make sure to convert 'Combined Score' to numeric if it's not already
     scores_df_sorted['Combined Score'] = pd.to_numeric(scores_df_sorted['Combined Score'], errors='coerce')
     # Apply color based on 'Combined Score' value and display the DataFrame
-    st.dataframe(scores_df_sorted.style.applymap(color_combined_score, subset=['Combined Score']))
+    styled_scores_df = scores_df_sorted.style.applymap(color_combined_score, subset=['Combined Score'])
+    st.dataframe(styled_scores_df, height=600)
 
 with col2:
     st.subheader("Stock Details")
@@ -86,16 +76,30 @@ with col2:
     ticker_symbol = st.selectbox('Select a stock for details', options=sorted_tickers)
     if ticker_symbol:
         with st.spinner(f'Fetching data for {ticker_symbol}...'):
-            stock_data, info = fetch_stock_data(ticker_symbol)
+            stock_data, _ = fetch_stock_data(ticker_symbol)
             comparison, _ = compare_to_index(stock_data, sp500_averages)
             
             # Display the company name and ticker symbol
-            st.write(f"**{info.get('longName', 'N/A')}** ({ticker_symbol})")
-            st.write(info.get('longBusinessSummary', 'Description not available.'))
+            st.write(f"**{ticker_symbol}**")
             
-            # Display each financial ratio and its comparison result
-            for ratio, status in comparison.items():
-                st.text(f"{ratio}: {status}")
+            # Display each financial ratio, its value, and the S&P 500 average
+            for ratio in stock_data.keys():
+                value = stock_data[ratio]
+                average = sp500_averages.loc[ratio, 'Average'] if ratio in sp500_averages.index else 'N/A'
+                comparison_result = comparison[ratio] if ratio in comparison else 'N/A'
+                st.write(f"{ratio}: {value} (Your Ratio) | {average} (S&P 500 Avg) - {comparison_result}")
+
+# Define the color-coding function for the 'Combined Score' column
+def color_combined_score(value):
+    """Colors the combined score cell based on its value."""
+    if value > 0:
+        color = 'green'
+    elif value < 0:
+        color = 'red'
+    else:
+        color = 'none'
+    return f'background-color: {color};'
+