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- import numpy as np
- import matplotlib.pyplot as plt
- from math import pi
- # Function to create radar chart
- def create_radar_chart(title, data, labels):
- num_vars = len(labels)
- # Compute angle for each axis
- angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist()
- # The radar chart is circular, so complete the loop
- data += data[:1]
- angles += angles[:1]
- # Create polar plot
- fig, ax = plt.subplots(figsize=(6, 6), subplot_kw=dict(polar=True))
- # Draw the outline of the radar chart
- ax.fill(angles, data, color='blue', alpha=0.25)
- ax.plot(angles, data, color='blue', linewidth=2)
- # Fill the background with white
- ax.set_facecolor('white')
- # Draw labels on the outer circle
- ax.set_yticklabels([])
- ax.set_xticks(angles[:-1])
- ax.set_xticklabels(labels, size=13)
- # Add a title
- ax.set_title(title, size=15, color='blue', y=1.1)
- plt.show()
- # Data for each site (CZ, O1, F3, F4, FZ)
- cz_data = [8.90, 2.79, 5.50, 0.51, 8.29, 5.07, 5.73, 0.88, 10.16]
- o1_data = [7.08, 7.37, 4.17, 22.97, 7.23, 7.90, 0.92, 10.46]
- f3_data = [9.66, 7.63, 1.27, 1.02, 26.77, 9.48, 1.27, 10.46]
- f4_data = [6.95, 6.85, 1.01, 0.79, 22.65, 8.85, 1.01, 10.45]
- fz_data = [8.90, 2.79, 5.50, 0.51, 8.29, 5.07, 5.73, 0.88, 10.16]
- # Labels for the parameters
- labels = ['Delta 2 Hz EC', 'HiBeta Amp', 'Beta Amp', 'HiBeta/Beta', 'Sum HiBeta+Beta',
- 'LoAlpha Amp', 'HiAlpha Amp', 'LoAlpha/HiAlpha', 'Alpha Peak Freq']
- # Create radar charts for all sites
- create_radar_chart("CZ Radar Chart", cz_data, labels)
- create_radar_chart("O1 Radar Chart", o1_data, labels)
- create_radar_chart("F3 Radar Chart", f3_data, labels)
- create_radar_chart("F4 Radar Chart", f4_data, labels)
- create_radar_chart("FZ Radar Chart", fz_data, labels)
- #Key for Understanding the Radar Charts:
- Radial Axis (0% to 100%): The performance of each parameter relative to a predefined normal range. The closer the value is to the outer boundary (100%), the closer it is to the upper end of the normal range.
- Parameters: Represent the frequency band or amplitude values like Delta 2 Hz, HiBeta Amplitude, Beta Amplitude, Alpha Peak Frequency, etc.
- Highlighted Region (Shaded area): Shows the actual performance of the site’s EEG parameters. If this area is smaller or shifted towards the center, it indicates underperformance in those specific parameters.
- Dashed Circles: Represent the normalized benchmarks or thresholds for performance. Points closer to the center indicate potential underperformance, while points near the outer circle suggest good performance.
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