通过数据可视化图表构建高效解决方案

import matplotlib.pyplot as plt

import numpy as np

# 示例数据

months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']

sales = [100, 120, 90, 130, 150, 170]

# 绘制折线图

plt.plot(months, sales, marker='o')

plt.title('Monthly Sales Trend')

plt.xlabel('Month')

plt.ylabel('Sales (in thousands)')

plt.grid(True)

plt.show()

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products = ['Product A', 'Product B']

jan_sales = [50, 50]

feb_sales = [60, 60]

mar_sales = [40, 50]

bar_width = 0.35

index = np.arange(len(products))

plt.bar(index, jan_sales, bar_width, label='Jan')

plt.bar(index + bar_width, feb_sales, bar_width, label='Feb')

plt.bar(index + 2*bar_width, mar_sales, bar_width, label='Mar')

plt.xlabel('Products')

plt.ylabel('Sales')

plt.title('Comparison of Product Sales')

plt.xticks(index + bar_width, products)

plt.legend()

plt.show()

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