changed Dianas Plot function
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@ -6,6 +6,7 @@ import matplotlib.pyplot as plt
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import numpy as np
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import rlxnix as rlx
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from useful_functions import power_spectrum
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import sys
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'''IMPORT DATA'''
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datafolder = '../data' #./ wo ich gerade bin; ../ eine ebene höher; ../../ zwei ebenen höher
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@ -66,8 +67,12 @@ def power_spectrum_plot(f, p):
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ax.set_xlim(0, 1000)
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plt.show()
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####### ADD DIANAS POWER SPECTRUM PLOT
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def plot_highlighted_integrals(frequency, power, exceeding_points, delta, threshold, color_mapping, points_categories):
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# DIANAS POWER SPECTRUM PLOT
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functions_path = r"C:\Users\diana\OneDrive - UT Cloud\Master\GPs\GP1_Grewe\Projekt\gpgrewe2024\code"
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sys.path.append(functions_path)
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import useful_functions as u
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def plot_highlighted_integrals(frequency, power, points, color_mapping, points_categories, delta = 2.5):
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"""
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Plot the power spectrum and highlight integrals that exceed the threshold.
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@ -96,9 +101,13 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
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fig, ax = plt.subplots()
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ax.plot(frequency, power) # Plot power spectrum
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for point in exceeding_points:
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integral, local_mean = calculate_integral(frequency, power, point, delta)
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valid, _ = valid_integrals(integral, local_mean, threshold, point)
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for point in points:
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# Use the imported function to calculate the integral and local mean
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integral, local_mean, _ = u.calculate_integral(frequency, power, point)
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# Use the imported function to check if the point is valid
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valid = u.valid_integrals(integral, local_mean, point)
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if valid:
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# Define color based on the category of the point
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color = next((c for cat, c in color_mapping.items() if point in points_categories[cat]), 'gray')
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@ -106,7 +115,6 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
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ax.axvspan(point - delta, point + delta, color=color, alpha=0.3, label=f'{point:.2f} Hz')
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print(f"Integral around {point:.2f} Hz: {integral:.5e}")
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# Define left and right boundaries of adjacent regions
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left_boundary = frequency[np.where((frequency >= point - 5 * delta) & (frequency < point - delta))[0][0]]
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right_boundary = frequency[np.where((frequency > point + delta) & (frequency <= point + 5 * delta))[0][-1]]
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@ -115,7 +123,6 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
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ax.axvline(x=left_boundary, color="k", linestyle="--")
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ax.axvline(x=right_boundary, color="k", linestyle="--")
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ax.set_xlim([0, 1200])
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ax.set_xlabel('Frequency (Hz)')
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ax.set_ylabel('Power')
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@ -124,3 +131,4 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
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return fig
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