ANOVA Boxplot
Video Streaming Quality ANOVA
Comparing video quality metrics across streaming platforms.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
np.random.seed(888)
# VMAF score (0-100)
netflix = np.random.normal(92, 4, 100)
youtube = np.random.normal(85, 6, 100)
prime = np.random.normal(88, 5, 100)
disney = np.random.normal(90, 4.5, 100)
netflix = np.clip(netflix, 70, 100)
youtube = np.clip(youtube, 60, 98)
prime = np.clip(prime, 65, 99)
disney = np.clip(disney, 72, 100)
F_stat, p_value = stats.f_oneway(netflix, youtube, prime, disney)
fig, ax = plt.subplots(figsize=(12, 7), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')
colors = ['#C82909', '#F5276C', '#27D3F5', '#276CF5']
data = [netflix, youtube, prime, disney]
bp = ax.boxplot(data, positions=[1, 2, 3, 4], widths=0.6, patch_artist=True,
medianprops={'color': 'white', 'linewidth': 2},
whiskerprops={'color': '#555555', 'linewidth': 1.5},
capprops={'color': '#555555', 'linewidth': 1.5},
flierprops={'marker': 'o', 'markerfacecolor': '#444444', 'markersize': 4})
for patch, color in zip(bp['boxes'], colors):
patch.set_facecolor(color)
patch.set_alpha(0.7)
patch.set_edgecolor('white')
patch.set_linewidth(1.5)
labels = ['Netflix', 'YouTube', 'Prime Video', 'Disney+']
# Quality zones
ax.axhspan(90, 100, alpha=0.1, color='#22c55e')
ax.axhline(y=90, color='#22c55e', linestyle='--', alpha=0.5, linewidth=1)
ax.text(4.45, 90, 'Excellent', fontsize=7, color='#22c55e', va='center')
# Bitrate info
bitrates = ['15 Mbps', '12 Mbps', '10 Mbps', '14 Mbps']
for i, (d, br, color) in enumerate(zip(data, bitrates, colors)):
ax.text(i+1, 58, f'μ={d.mean():.1f} | {br}', ha='center', fontsize=8, color=color)
# Stats header
stats_text = f"ANOVA: F={F_stat:.2f}, p={p_value:.4f} | Best Quality: Netflix (VMAF={netflix.mean():.1f})"
bbox = dict(boxstyle="round,pad=0.3", facecolor='#0d1117', edgecolor='#C82909', lw=2)
ax.text(0.5, 1.02, stats_text, transform=ax.transAxes, fontsize=9, color='white',
ha='center', va='bottom', fontfamily='monospace', bbox=bbox)
ax.set_xticks([1, 2, 3, 4])
ax.set_xticklabels(labels, fontsize=11, color='white')
ax.set_ylabel('VMAF Score', fontsize=12, color='white', fontweight='500')
ax.set_title('Streaming Platform Video Quality\n4K HDR Content Comparison',
fontsize=14, color='white', fontweight='bold', pad=25)
ax.tick_params(colors='#888888')
for spine in ax.spines.values():
spine.set_color('#333333')
ax.yaxis.grid(True, color='#1a1a2e', linewidth=0.5)
ax.set_axisbelow(True)
ax.set_ylim(55, 102)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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