Error Bar Chart
Premium Headphones Comparison
Wireless noise-cancelling headphones comparison across key metrics.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(42)
headphones = ['Sony\nWH-1000XM5', 'Apple\nAirPods Max', 'Bose\n700', 'Sennheiser\nMomentum', 'B&W\nPx8']
anc = np.array([95, 92, 90, 85, 88])
sound_quality = np.array([92, 95, 88, 96, 94])
comfort = np.array([90, 82, 92, 85, 88])
err = np.array([3, 2, 3, 4, 3])
fig, ax = plt.subplots(figsize=(11, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
x = np.arange(len(headphones))
width = 0.25
ax.bar(x - width, anc, width, yerr=err, label='Noise Cancelling',
color='#5314E6', edgecolor='white', linewidth=1.5, capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, sound_quality, width, yerr=err, label='Sound Quality',
color='#F5B027', edgecolor='white', linewidth=1.5, capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, comfort, width, yerr=err, label='Comfort',
color='#27D3F5', edgecolor='white', linewidth=1.5, capsize=3,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.axhline(y=90, color='#6CF527', linestyle='--', linewidth=2, alpha=0.7)
ax.set_xlabel('Headphones', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('Score', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Premium Wireless Headphones Comparison', fontsize=15,
color='#1f2937', fontweight='bold', pad=20)
ax.set_xticks(x)
ax.set_xticklabels(headphones, fontsize=9)
ax.legend(facecolor='#ffffff', edgecolor='#e5e7eb', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(70, 102)
ax.grid(True, axis='y', alpha=0.4, color='#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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