big-data/241122temp
2024-11-22 07:04:39 +00:00

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import matplotlib.pyplot as plt
import numpy as np
# 准备数据
x = np.linspace(0, 10, 100) # 线形图数据
y = np.sin(x)
sizes = [27.6, 17.2, 24.1, 31.0] # 饼状图数据
labels = ['A', 'B', 'C', 'D']
bar_x = ['条形图1', '条形图2'] # 条形图数据
bar_y = [10, 40]
scatter_x = np.random.rand(20) # 散点图数据
scatter_y = np.random.rand(20)
# 创建画布和子图
fig, axs = plt.subplots(2, 2, figsize=(12, 10))
# 绘制线形图
axs[0, 0].plot(x, y, label='sin(x)', color='b')
axs[0, 0].set_title('线形图')
axs[0, 0].legend()
# 绘制饼状图
axs[0, 1].pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140)
axs[0, 1].set_title('饼状图')
# 绘制条形图
axs[1, 0].bar(bar_x, bar_y, color=['r', 'g'])
axs[1, 0].set_title('条形图')
axs[1, 0].set_ylabel('值')
# 绘制散点图
axs[1, 1].scatter(scatter_x, scatter_y, color='purple', alpha=0.5)
axs[1, 1].set_title('散点图')
axs[1, 1].set_xlabel('X轴')
axs[1, 1].set_ylabel('Y轴')
# 调整布局
plt.tight_layout()
# 显示图表
plt.show()