matplotlib库绘制散点图

假设通过爬虫你获取到了北京2016年3,10月份每天白天的最高气温（分别位于列表a，b），那么此时如何寻找出气温随时间（天）变化的某种规律？

a = [11,17,16,11,12,11,12,6,6,7,8,9,12,15,14,17,18,21,16,17,20,14,15,15,15,19,21,22,22,22,23]
b = [26,26,28,19,21,17,16,19,18,20,20,19,22,23,17,20,21,20,22,15,11,15,5,13,17,10,11,13,12,13,6]

代码实现，基本和绘制折线图实现类似，只有略微差别

 1 from matplotlib import pyplot as plt
 2 import matplotlib
 3 
 4 font = {\'family\': \'MicroSoft YaHei\'}
 5 matplotlib.rc(\'font\', **font)
 6 # 三月份和十月份的气温
 7 y_3 = [11,17,16,11,12,11,12,6,6,7,8,9,12,15,14,17,18,21,16,17,20,14,15,15,15,19,21,22,22,22,23]
 8 y_10 = [26,26,28,19,21,17,16,19,18,20,20,19,22,23,17,20,21,20,22,15,11,15,5,13,17,10,11,13,12,13,6]
 9 x_3 = range(1, 32)
10 x_10 = range(51, 82)
11 
12 plt.figure(figsize=(16, 8), dpi=80)
13 # 使用scatter方法绘制散点图散点图，其它的和之前绘制折线图没有太大区别
14 plt.scatter(x_3, y_3, label=\'三月份\')
15 plt.scatter(x_10, y_10, label=\'十月份\')
16 
17 # 调整x轴的刻度
18 _x = list(x_3) + list(x_10)
19 _xtick_labels = [\'3月{}号\'.format(i) for i in x_3] + [\'10月{}号\'.format(i-50) for i in x_10]
20 plt.xticks(_x[::3], _xtick_labels[::3], rotation=45)  # 步长为3，旋转45度
21 
22 # 添加描述信息
23 plt.xlabel(\'时间\')
24 plt.ylabel(\'温度\')
25 plt.title(\'气温散点图\')
26 plt.legend()  # 图例
27 
28 plt.show()  # 展示