Changed dianas plot

code/plot_functions.py

@@ -71,6 +71,11 @@ def power_spectrum_plot(f, p):
 functions_path = r"C:\Users\diana\OneDrive - UT Cloud\Master\GPs\GP1_Grewe\Projekt\gpgrewe2024\code"
 sys.path.append(functions_path)
 import useful_functions as u
+import matplotlib.ticker as ticker
+
+def float_formatter(x, _):
+    """Format the y-axis values as floats with a specified precision."""
+    return f'{x:.5f}'
 
 def plot_highlighted_integrals(ax, frequency, power, points, color_mapping, points_categories, delta=2.5):
     """
@@ -98,7 +103,7 @@ def plot_highlighted_integrals(ax, frequency, power, points, color_mapping, poin
     None
     """
     ax.plot(frequency, power)  # Plot power spectrum on the existing axes
-    
+
     for point in points:
         # Calculate the integral and local mean
         integral, local_mean = u.calculate_integral_2(frequency, power, point)
@@ -108,23 +113,24 @@ def plot_highlighted_integrals(ax, frequency, power, points, color_mapping, poin
         
         if valid:  
             # Define color based on the category of the point
+            point_category = next((cat for cat, pts in points_categories.items() if point in pts), "Unknown")
             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')
-
-            # 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')
+            ax.axvspan(point - delta, point + delta, color=color, alpha=0.3, label=f'{point_category}')
 
             # Print out point, category, and color
-            point_category = next((cat for cat, pts in points_categories.items() if point in pts), "Unknown")
-            print(f"{point_category}: Integral: {integral:.5e}, Color: {color}")
-    
+            #ax.text(f"{point_category}: Integral: {integral:.5e}, Color: {color}")
+
     ax.set_xlim([0, 1200])
+    ax.set_ylim([0, 6e-5])
     ax.set_xlabel('Frequency (Hz)')
     ax.set_ylabel('Power')
     ax.set_title('Power Spectrum with Highlighted Integrals')
-    #ax.legend()
+
+    # Apply float formatting to the y-axis
+    ax.yaxis.set_major_formatter(ticker.FuncFormatter(float_formatter))
+