Clean completely analyze_fft_ellipses.py

This commit is contained in:
Benjamin Loison 2024-05-22 20:13:20 +02:00
parent 80ac1f1bf3
commit 85bc972c54
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8

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@ -9,11 +9,9 @@ class Axis(Enum):
def __str__(self):
return self.name.title()
# TODO: with right color
# TODO: precising somehow low or high
INTERESTING_VALUES_OF_AXES = {
Axis.ABSCISSA: [0, 30, 60, 84, 108, 132, 160, 179],
Axis.ORDINATE: [0, 25, 40, 55, 70, 85, 100, 117],
Axis.ORDINATE: [0, 25, 40, 55, 70, 85, 100, 117, 135, 150, 167, 182],
}
halfHeight = height // 2
@ -26,7 +24,7 @@ PROFILES_OF_AXES = {
colorsOfAxes = {}
for axis in Axis:
plt.title('Axis Fourier transform profile')
plt.title('Axis Fourier transform profile\n\nLocal extremas have been listed manually from the Fourier transform visualization')
plt.xlabel('Fourier transform axis')
plt.ylabel('Fourier transform logarithmic intensity')
height, width = secondImage.shape
@ -35,13 +33,25 @@ for axis in Axis:
for axis in Axis:
for interestingValueOfAxisIndex, interestingValueOfAxis in enumerate(INTERESTING_VALUES_OF_AXES[axis]):
plt.axvline(interestingValueOfAxis, color = colorsOfAxes[axis], alpha = 0.3, linestyle = ':' if interestingValueOfAxisIndex % 2 == 0 else '--', label = 'Test')
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())
# How to avoid hardcoding the default color being `black`?
MATPLOTLIB_DEFAULT_COLOR = 'black'
allInterestingValuesOfAxes = list(set(flattenDictValues(INTERESTING_VALUES_OF_AXES)))
plt.xticks(list(plt.xticks()[0]) + allInterestingValuesOfAxes)
ticks = list(plt.xticks()[0]) + allInterestingValuesOfAxes
for tickIndex, tick in enumerate(ticks):
for axis in Axis:
if tick in INTERESTING_VALUES_OF_AXES[axis]:
#plt.xticklabels()[tickIndex].set_color(colorsOfAxes[axis])
pltTick = plt.xticks()[1][tickIndex]
pltTick.set_color(MATPLOTLIB_DEFAULT_COLOR if axis == list(Axis)[-1] and pltTick.get_color() != MATPLOTLIB_DEFAULT_COLOR else colorsOfAxes[axis])
# Changing tick color would be nice too, see https://stackoverflow.com/questions/49997934/change-color-of-specific-ticks-at-plot-with-matplotlib#comment108290728_49998338
allInterestingValuesOfAxesMin = min(allInterestingValuesOfAxes)
allInterestingValuesOfAxesMax = max(allInterestingValuesOfAxes)