falscher name

Power spectrum animations for contrast 10% and 20%

code/plot_functions.py

@@ -114,8 +114,6 @@ def plot_highlighted_integrals(ax, frequency, power, points, nyquist, true_eodf,
     }
 
     # Plot the power spectrum on the provided axes
-
-
     for point in points:
         # Identify the category for the current point
         point_category = next((cat for cat, pts in points_categories.items() if point in pts), "Unknown")
@@ -131,7 +129,7 @@ def plot_highlighted_integrals(ax, frequency, power, points, nyquist, true_eodf,
             # Highlight valid points with a shaded region
             ax.axvspan(point - delta, point + delta, color=color, alpha=0.35, label=f'{point_category}')
     
-    ax.plot(frequency, power)
+    ax.plot(frequency, power, color="#1f77b4", linewidth=1.5)
     # Use the category colors for 'Nyquist' and 'EODf' lines
     ax.axvline(nyquist, color=category_colors.get("Nyquist", "#2ca02c"), linestyle="--")
     ax.axvline(true_eodf, color=category_colors.get("EODf (awake fish)", "#8c564b"), linestyle="--")
@@ -140,7 +138,7 @@ def plot_highlighted_integrals(ax, frequency, power, points, nyquist, true_eodf,
     ax.set_xlim([0, 1200])
     ax.set_ylim([0, 6e-5])
     ax.set_xlabel('Frequency (Hz)', fontsize=12)
-    ax.set_ylabel(r'Power [$\frac{\mathrm{mV^2}}{\mathrm{Hz}}$]', fontsize=12)
+    ax.set_ylabel(r'Power [$\frac{\mathrm{Hz^2}}{\mathrm{Hz}}$]', fontsize=12)
     #ax.set_title('Power Spectrum with highlighted Integrals', fontsize=14)
 
     # Apply float formatting to the y-axis