代码如下：

# -*-coding:utf-8-*-

#@Author: Songzq

#@Time: 2019年07月18日06时

#说明:

#总结:

import matplotlib.pyplot as plt  #导入matplotlib.pyplot库

#2019年4月份最高每日最高温度

y_april_high = [16,19,21,28,21,20,19,17,9,18,19,22,23,23,26,26,28,24,17,15,22,26,28,19,18,21,16,19,23,24]

#2019年4月份最高每日最低温度

y_april_lower = [4,3,6,9,8,6,7,4,2,9,6,9,7,8,11,12,16,10,10,8,8,15,15,9,8,10,6,9,13,13]

#2019年6月份最高每日最高温度

y_june_high = [ 30,32,34,28,31,26,31,34,31,33,32,33,29,35,32,25,29,33,33,36,32,34,35,36,36,35,33,32,35,32]

#2019年6月份最高每日最低温度

y_june_lower = [18,19,20,19,19,18,21,20,18,18,20,22,20,20,19,18,20,22,22,23,21,22,23,24,24,22,23,22,23,21]

x_apirl_days = range(1,31)

x_june_days = range(52,82)

#设置图形大小

plt.figure(figsize=(20,8),dpi=80)

#使用scatter方法绘制散点图，plot方法是绘制折线图

plt.scatter(x_apirl_days, y_april_high,label="Apirl High")

plt.scatter(x_apirl_days,y_april_lower,label="Apirl Lower")

plt.scatter(x_june_days, y_june_high,label="June High")

plt.scatter(x_june_days,y_june_lower,label="June High")

#调整x轴的刻度

_x_days = list(x_apirl_days) + list(x_june_days)

_xtick_labels = ["Apirl {}".format(i) for i in x_apirl_days]

_xtick_labels += ["June {}".format(i-51) for i in x_june_days]

plt.xticks(list(_x_days)[::2],list(_xtick_labels)[::2],rotation=45)

#添加图例

plt.figlegend(loc="upper left")

#添加描述信息

plt.xlabel("Time")

plt.ylabel("Temperature")

plt.title("Weather")

#展示

plt.show()

输出图形：