matplotlib绘制散点图

#!/usr/bin/env python
# coding=utf-8
from matplotlib import pyplot as plt
from matplotlib import font_manager

## 实例化一个中文字体
my_font = font_manager.FontProperties(fname='/usr/share/fonts/chineses/msyhbd.ttc')
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)

##设置图片大小
plt.figure(figsize=(20,8),dpi=80)

##使用scatter方法绘制散点图，和之前绘制折线图的唯一区别
plt.scatter(x_3,y_3,label='3月份',color = '#F08080')
plt.scatter(x_10,y_10,label='10月份',color = 'cyan')

##调整X轴刻度
_x = list(x_3) + list(x_10)
_xtick_labels = ['3月{}日'.format(i) for i in x_3]
_xtick_labels += ['10月{}日'.format(i-50) for i in x_10]
plt.xticks(_x[::3],_xtick_labels[::3],rotation=60,fontproperties = my_font)   ##取步长使X轴稀疏一点

##添加图例
plt.legend(loc = "upper left",prop = my_font)

## 添加描述信息
plt.xlabel("时间",fontproperties = my_font)
plt.ylabel("温度",fontproperties = my_font)
plt.title("3月份与10月份温度变化",fontproperties = my_font)

##保存图片
plt.savefig('y3.png')

## 展示
plt.show()

在不同条件（维度）的内在联系
观测数据的离散聚合程度