利用数据可视化构建高效解决方案

import matplotlib.pyplot as plt

import numpy as np

# 模拟用户行为数据

data = {

'Weekdays': ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],

'Active Users': [1200, 1500, 1700, 1600, 1800]

}

x = data['Weekdays']

y = data['Active Users']

# 创建折线图

plt.figure(figsize=(8, 6))

plt.plot(x, y, marker='o')

plt.title('User Activity Over the Week')

plt.xlabel('Day of the Week')

plt.ylabel('Number of Active Users')

plt.grid(True)

plt.show()

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# 创建柱状图

plt.bar(x, y, color='skyblue')

plt.title('Weekly User Activity Comparison')

plt.xlabel('Day of the Week')

plt.ylabel('Number of Active Users')

plt.show()

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