Video Streaming Bitrate Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#CFFAFE', '#67E8F9', '#22D3EE', '#06B6D4'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(2929)
seconds = np.arange(0, 600)  # 10-minute video
base = 4000
network_variation = 500 * np.sin(seconds * np.pi / 60)
buffering_events = np.random.choice([0, 1], size=len(seconds), p=[0.98, 0.02])
buffering_drop = np.convolve(buffering_events, np.exp(-np.arange(30)/5), mode='same') * -2000
bitrate = base + network_variation + buffering_drop + np.random.normal(0, 200, len(seconds))
bitrate = np.clip(bitrate, 500, 6000)
bitrate_norm = (bitrate - 500) / 5500

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 0.25

ax.fill_between(seconds, 0, np.clip(bitrate_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(seconds, 0, np.clip(bitrate_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(seconds, 0, np.clip(bitrate_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(seconds, 0, np.clip(bitrate_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 599)
ax.set_ylim(0, 0.3)

ax.set_title('Video Streaming Bitrate (Kbps)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Playback Time (minutes)', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Bitrate (Kbps)', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 120, 240, 360, 480, 600])
ax.set_xticklabels(['0', '2', '4', '6', '8', '10'])

for spine in ax.spines.values():
    spine.set_color(COLORS['grid'])
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()