Pie Chart
Browser Usage Stats
Web browser market share pie chart
Output
Python
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(figsize=(10, 8), facecolor='#0c0c0c')
ax.set_facecolor('#0c0c0c')
sizes = [65, 18, 8, 5, 4]
labels = ['Chrome', 'Safari', 'Firefox', 'Edge', 'Others']
colors = ['#4285f4', '#a3aaae', '#ff7139', '#0078d4', '#6b7280']
wedges, texts, autotexts = ax.pie(sizes, labels=None, colors=colors,
autopct='%1.1f%%', startangle=90,
wedgeprops={'linewidth': 2, 'edgecolor': '#0c0c0c'},
pctdistance=0.75)
for autotext in autotexts:
autotext.set_color('#ffffff')
autotext.set_fontsize(11)
autotext.set_fontweight('bold')
ax.legend(wedges, labels, loc='center left', bbox_to_anchor=(1, 0.5),
facecolor='#0c0c0c', edgecolor='#2a2a2a', labelcolor='#d0d0d0', fontsize=11)
ax.set_title('Browser Market Share 2024', color='#ffffff', fontsize=14, fontweight='bold', pad=20)
plt.tight_layout()
Library
Matplotlib
Category
Basic Charts
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