2025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]
from matplotlib import pyplot as plt
import matplotlib
font = {'family': 'MicroSoft YaHei'}
matplotlib.rc('font', **font)
# 三月份和十月份的气温
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]
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]
x_3 = range(1, 32)
x_10 = range(51, 82)
plt.figure(figsize=(16, 8), dpi=80)
# 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
plt.scatter(x_3, y_3, label='三月份',c='r')
plt.scatter(x_10, y_10, label='十月份',c='b')
# 调整x轴的刻度
_x = list(x_3) + list(x_10)
_xtick_labels = ['3月{}号'.format(i) for i in x_3] + ['10月{}号'.format(i-50) for i in x_10]
plt.xticks(_x[::3], _xtick_labels[::3], rotation=45) # 步长为3，旋转45度
# 添加描述信息
plt.xlabel('时间',fontsize=13)
plt.ylabel('温度',fontsize=13)
plt.title('气温散点图')
plt.legend() # 图例
plt.grid()
plt.savefig('image.png') #保存图片
plt.show() # 展示