Python 代码如下：
1 import matplotlib.pyplot as plt
2 import numpy as np
3
4 # 假设有一年的运动数据，每天的运动次数
5 np.random.seed(0)
6 activity_data = np.random.randint(0, 11, size=365)
7
8 # 创建一个7天 * 53周的网格
9 days_in_week = 7
10 weeks = 53
11 activity_grid = np.zeros((days_in_week, weeks), dtype=int)
12
13 # 将实际数据填充到网格中
14 for i in range(365):
15 day_of_week = i % 7
16 week_number = i // 7
17 activity_grid[day_of_week, week_number] = activity_data[i]
18
19 # 创建图形和子图
20 fig, ax = plt.subplots(figsize=(15, 10))
21
22 # 绘制运动活跃图
23 cmap = plt.cm.get_cmap('Greens') # 使用绿色渐变色
24 cax = ax.imshow(activity_grid, cmap=cmap, aspect='auto')
25
26 # 设置x轴和y轴标签
27 months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
28 ax.set_xticks(np.linspace(0, 52, 13)[:-1]) # 12个等间距的刻度
29 ax.set_xticklabels(months, rotation=45, ha='right')
30 ax.set_yticks(np.arange(days_in_week))
31 ax.set_yticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])
32
33 # 添加颜色条
34 cbar = fig.colorbar(cax)
35 cbar.set_label('Number of Activities')
36
37 # 设置标题和标签
38 ax.set_title('Annual Activity Chart for 2025')
39 ax.set_xlabel('Month')
40 ax.set_ylabel('Day of the Week')
41
42 # 显示图形
43 plt.tight_layout()
44 plt.show()
效果图：
标签：week,github,代码,活跃,set,plt,activity,np,ax From： https://www.cnblogs.com/ghzhan/p/18651102