Data Science Matplotlib Visualization

Use when working with Matplotlib — data visualization, charts, plots, scientific graphics

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Matplotlib 可视化指南

基础图表

创建多子图布局

import matplotlib.pyplot as plt

fig, axes = plt.subplots(2, 2, figsize=(10, 8))

# 散点图
axes[0, 0].scatter(x, y, s=20, alpha=0.5)
axes[0, 0].set_title('散点图')

# 折线图
axes[0, 1].plot(x, y, 'g-', linewidth=2)

# 直方图
axes[1, 0].hist(data, bins=20, color='skyblue')

# 箱线图
axes[1, 1].boxplot([data1, data2])

plt.tight_layout()
plt.show()

liaosw97/awesome-rules-skills/tree/main/plugins/data-science/skills/data-science-matplotlib-visualization commit 4d01c53156

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