Update app.py

app.py

@@ -627,8 +627,8 @@ def update_data(example_df, Kitchen_afternoon_illuminance, Lounge_night_illumina
         for bar, score in zip(bars, scores_desc):
            text_color = 'black'
            text_value = f'{score[2]:.2f}'
-           text_position = bar.get_width() - 0.015 if score[0] < 0 else bar.get_width() + 0.015  # Adjust the padding as needed
-           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=20)
+           text_position = bar.get_width() - 0.1 if score[0] < 0 else bar.get_width() + 0.1  # Adjust the padding as needed
+           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=18)
         plt.title("Feature Shap Values for Positive Prediction",fontsize=30)
         plt.ylabel("Feature", fontsize=28)
         plt.xlabel("SHAP Value", fontsize=28)
@@ -654,7 +654,7 @@ def update_data(example_df, Kitchen_afternoon_illuminance, Lounge_night_illumina
            text_color = 'black'
            text_value = f'{score[2]:.2f}'
            text_position = bar.get_width() - 0.015 if score[0] < 0 else bar.get_width() + 0.015  # Adjust the padding as needed
-           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=20)
+           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=18)
         plt.title("Feature Shap Values for Negative Prediction",fontsize=30)
         plt.ylabel("Feature", fontsize=28)
         plt.xlabel("SHAP Value", fontsize=28)
@@ -936,8 +936,8 @@ def return_original(example_df):
         for bar, score in zip(bars, scores_desc):
            text_color = 'black'
            text_value = f'{score[2]:.2f}'
-           text_position = bar.get_width() - 0.08 if score[0] < 0 else bar.get_width() + 0.08  # Adjust the padding as needed
-           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=20)
+           text_position = bar.get_width() - 0.1 if score[0] < 0 else bar.get_width() + 0.1  # Adjust the padding as needed
+           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=18)
         plt.title("Feature Shap Values for Positive Prediction",fontsize=30)
         plt.ylabel("Feature", fontsize=28)
         plt.xlabel("Shap Value",fontsize=28)
@@ -963,8 +963,8 @@ def return_original(example_df):
         for bar, score in zip(bars, scores_desc):
            text_color = 'black'
            text_value = f'{score[2]:.2f}'
-           text_position = bar.get_width() - 0.08 if score[0] < 0 else bar.get_width() + 0.08# Adjust the padding as needed
-           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=20)
+           text_position = bar.get_width() - 0.1 if score[0] < 0 else bar.get_width() + 0.1# Adjust the padding as needed
+           plt.text(text_position, bar.get_y() + bar.get_height() / 2, text_value, ha='left' if score[0] < 0 else 'right', va='center', color=text_color, fontsize=18)
         plt.title("Feature Shap Values for Negative Prediction", fontsize=30)
         plt.ylabel("Feature",fontsize=28 )
         plt.xlabel("Shap Value",fontsize=28)