Error Bar Chart
Electric Toothbrush Clinical Study
Dental effectiveness comparison of premium electric toothbrushes.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(42)
brushes = ['Oral-B\niO', 'Philips\nSonicare', 'Waterpik\nSonic', 'Quip', 'Burst']
plaque_removal = np.array([95, 92, 88, 78, 85])
gum_health = np.array([92, 94, 85, 72, 80])
battery_life = np.array([85, 90, 82, 95, 88])
err = np.array([4, 3, 5, 6, 5])
fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
x = np.arange(len(brushes))
width = 0.25
ax.bar(x - width, plaque_removal, width, yerr=err, label='Plaque Removal',
color='#27D3F5', edgecolor='white', linewidth=1.5, capsize=4,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x, gum_health, width, yerr=err, label='Gum Health',
color='#F5276C', edgecolor='white', linewidth=1.5, capsize=4,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.bar(x + width, battery_life, width, yerr=err, label='Battery Life',
color='#6CF527', edgecolor='white', linewidth=1.5, capsize=4,
error_kw={'ecolor': '#374151', 'elinewidth': 1.5})
ax.axhline(y=90, color='#F5B027', linestyle='--', linewidth=2, alpha=0.7)
ax.set_xlabel('Electric Toothbrush', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('Score', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Electric Toothbrush Clinical Comparison', fontsize=15,
color='#1f2937', fontweight='bold', pad=20)
ax.set_xticks(x)
ax.set_xticklabels(brushes, fontsize=10)
ax.legend(facecolor='#ffffff', edgecolor='#e5e7eb', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(60, 105)
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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