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changed Dianas Plot function

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Diana 2024-10-23 11:59:29 +02:00
parent 71d8c78f5c
commit 86272cc18a
1 changed files with 16 additions and 8 deletions
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code/plot_functions.py
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@ -6,6 +6,7 @@ import matplotlib.pyplot as plt
import numpy as np import numpy as np
import rlxnix as rlx import rlxnix as rlx
from useful_functions import power_spectrum from useful_functions import power_spectrum
import sys
'''IMPORT DATA''' '''IMPORT DATA'''
datafolder = '../data' #./ wo ich gerade bin; ../ eine ebene höher; ../../ zwei ebenen höher datafolder = '../data' #./ wo ich gerade bin; ../ eine ebene höher; ../../ zwei ebenen höher
@ -66,8 +67,12 @@ def power_spectrum_plot(f, p):
ax.set_xlim(0, 1000) ax.set_xlim(0, 1000)
plt.show() plt.show()
####### ADD DIANAS POWER SPECTRUM PLOT # DIANAS POWER SPECTRUM PLOT
def plot_highlighted_integrals(frequency, power, exceeding_points, delta, threshold, color_mapping, points_categories): 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
def plot_highlighted_integrals(frequency, power, points, color_mapping, points_categories, delta = 2.5):
""" """
Plot the power spectrum and highlight integrals that exceed the threshold. Plot the power spectrum and highlight integrals that exceed the threshold.
@ -96,9 +101,13 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
fig, ax = plt.subplots() fig, ax = plt.subplots()
ax.plot(frequency, power) # Plot power spectrum ax.plot(frequency, power) # Plot power spectrum
for point in exceeding_points: for point in points:
integral, local_mean = calculate_integral(frequency, power, point, delta) # Use the imported function to calculate the integral and local mean
valid, _ = valid_integrals(integral, local_mean, threshold, point) integral, local_mean, _ = u.calculate_integral(frequency, power, point)
# Use the imported function to check if the point is valid
valid = u.valid_integrals(integral, local_mean, point)
if valid: if valid:
# Define color based on the category of the point # Define color based on the category of the point
color = next((c for cat, c in color_mapping.items() if point in points_categories[cat]), 'gray') color = next((c for cat, c in color_mapping.items() if point in points_categories[cat]), 'gray')
@ -106,7 +115,6 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
ax.axvspan(point - delta, point + delta, color=color, alpha=0.3, label=f'{point:.2f} Hz') ax.axvspan(point - delta, point + delta, color=color, alpha=0.3, label=f'{point:.2f} Hz')
print(f"Integral around {point:.2f} Hz: {integral:.5e}") print(f"Integral around {point:.2f} Hz: {integral:.5e}")
# Define left and right boundaries of adjacent regions # Define left and right boundaries of adjacent regions
left_boundary = frequency[np.where((frequency >= point - 5 * delta) & (frequency < point - delta))[0][0]] left_boundary = frequency[np.where((frequency >= point - 5 * delta) & (frequency < point - delta))[0][0]]
right_boundary = frequency[np.where((frequency > point + delta) & (frequency <= point + 5 * delta))[0][-1]] right_boundary = frequency[np.where((frequency > point + delta) & (frequency <= point + 5 * delta))[0][-1]]
@ -115,7 +123,6 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
ax.axvline(x=left_boundary, color="k", linestyle="--") ax.axvline(x=left_boundary, color="k", linestyle="--")
ax.axvline(x=right_boundary, color="k", linestyle="--") ax.axvline(x=right_boundary, color="k", linestyle="--")
ax.set_xlim([0, 1200]) ax.set_xlim([0, 1200])
ax.set_xlabel('Frequency (Hz)') ax.set_xlabel('Frequency (Hz)')
ax.set_ylabel('Power') ax.set_ylabel('Power')
@ -124,3 +131,4 @@ def plot_highlighted_integrals(frequency, power, exceeding_points, delta, thresh
return fig return fig