Music Beat Detection Analysis

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(444)

# Beat detection in music
n_beats = 30
beat_time = np.cumsum(np.random.uniform(0.4, 0.6, n_beats))
beat_strength = np.random.uniform(0.5, 1.0, n_beats)
frequency_band = np.random.choice([0, 0.33, 0.66, 1], n_beats)  # Bass, Mid, High, Full

x = beat_time / beat_time.max()
y = frequency_band
z = beat_strength

fig = plt.figure(figsize=(10, 8), facecolor='#ffffff')
ax = fig.add_subplot(111, projection='3d', facecolor='#ffffff')

markerline, stemlines, baseline = ax.stem(x, y, z, linefmt='-', markerfmt='o', basefmt=' ')
plt.setp(stemlines, color='#f97316', linewidth=2, alpha=0.7)
plt.setp(markerline, color='#fb923c', markersize=8)

ax.set_xlabel('Time (normalized)', color='#1f2937', fontsize=10)
ax.set_ylabel('Frequency Band', color='#1f2937', fontsize=10)
ax.set_zlabel('Beat Strength', color='#1f2937', fontsize=10)
ax.set_title('Music Beat Detection Analysis', color='#1f2937', fontsize=14, fontweight='bold', pad=20)

ax.tick_params(colors='#6b7280', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#e5e7eb')
ax.yaxis.pane.set_edgecolor('#e5e7eb')
ax.zaxis.pane.set_edgecolor('#e5e7eb')

ax.view_init(elev=20, azim=45)
plt.tight_layout()
plt.show()