diff --git a/datasets/raise/fft/analyze_fft_ellipses.py b/datasets/raise/fft/analyze_fft_ellipses.py
index 3514938..b4573c0 100644
--- a/datasets/raise/fft/analyze_fft_ellipses.py
+++ b/datasets/raise/fft/analyze_fft_ellipses.py
@@ -31,11 +31,13 @@ for axis in Axis:
     axisProfile = PROFILES_OF_AXES[axis]
     colorsOfAxes[axis] = plt.plot(axisProfile, label = axis)[0].get_color()
 
+'''
 for axis in Axis:
     for interestingValueOfAxisIndex, interestingValueOfAxis in enumerate(INTERESTING_VALUES_OF_AXES[axis]):
         linestyle = ':' if interestingValueOfAxisIndex % 2 == 0 else '--'
         label = f'{axis} local {"minimum" if interestingValueOfAxisIndex == 0 else "maximum"}' if interestingValueOfAxisIndex <= 1 else None
         plt.axvline(interestingValueOfAxis, color = colorsOfAxes[axis], alpha = 0.3, linestyle = linestyle, label = label)
+'''
 
 def flattenDictValues(dict_):
     return itertools.chain(*dict_.values())
@@ -43,6 +45,7 @@ def flattenDictValues(dict_):
 # TODO: How to avoid hardcoding the default color being `black`?
 MATPLOTLIB_DEFAULT_COLOR = 'black'
 
+'''
 allInterestingValuesOfAxes = list(set(flattenDictValues(INTERESTING_VALUES_OF_AXES)))
 ticks = list(plt.xticks()[0]) + allInterestingValuesOfAxes
 plt.xticks(ticks)
@@ -62,6 +65,7 @@ allInterestingIntensitiesOfAxes = list(flattenDictValues(INTERESTING_PROFILES_OF
 allInterestingIntensitiesOfAxesMin = min(allInterestingIntensitiesOfAxes)
 allInterestingIntensitiesOfAxesMax = max(allInterestingIntensitiesOfAxes)
 plt.ylim(allInterestingIntensitiesOfAxesMin, allInterestingIntensitiesOfAxesMax)
+'''
 
 plt.legend()
 plt.show()
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