diff --git a/code/plot_functions.py b/code/plot_functions.py
index 63be604..1f84e19 100644
--- a/code/plot_functions.py
+++ b/code/plot_functions.py
@@ -72,7 +72,7 @@ functions_path = r"C:\Users\diana\OneDrive - UT Cloud\Master\GPs\GP1_Grewe\Proje
 sys.path.append(functions_path)
 import useful_functions as u
 
-def plot_highlighted_integrals(frequency, power, points, color_mapping, points_categories, delta = 2.5):
+def plot_highlighted_integrals(frequency, power, points, color_mapping, points_categories, delta=2.5):
     """
     Plot the power spectrum and highlight integrals that exceed the threshold.
 
@@ -82,12 +82,10 @@ def plot_highlighted_integrals(frequency, power, points, color_mapping, points_c
         An array of frequencies corresponding to the power values.
     power : np.array
         An array of power spectral density values.
-    exceeding_points : list
-        A list of harmonic frequencies that exceed the threshold.
+    points : list
+        A list of harmonic frequencies to check and highlight.
     delta : float
         Half-width of the range for integration around each point.
-    threshold : float
-        Threshold value to compare integrals with local mean.
     color_mapping : dict
         A dictionary mapping each category to its color.
     points_categories : dict
@@ -111,10 +109,16 @@ def plot_highlighted_integrals(frequency, power, points, color_mapping, points_c
         if valid:  
             # Define color based on the category of the point
             color = next((c for cat, c in color_mapping.items() if point in points_categories[cat]), 'gray')
+            
             # Shade the region around the point where the integral was calculated
             ax.axvspan(point - delta, point + delta, color=color, alpha=0.3, label=f'{point:.2f} Hz')
-            print(f"Integral around {point:.2f} Hz: {integral:.5e}")
-                        
+
+            # Print out point and color
+            print(f"Integral around {point:.2f} Hz: {integral:.5e}, Color: {color}")
+            
+            # Annotate the plot with the point and its color
+            ax.text(point, max(power) * 0.9, f'{point:.2f}', color=color, fontsize=10, ha='center')
+
             # Define left and right boundaries of adjacent regions
             left_boundary = frequency[np.where((frequency >= point - 5 * delta) & (frequency < point - delta))[0][0]]
             right_boundary = frequency[np.where((frequency > point + delta) & (frequency <= point + 5 * delta))[0][-1]]
@@ -132,3 +136,4 @@ def plot_highlighted_integrals(frequency, power, points, color_mapping, points_c
     return fig
 
 
+