Python matplotlib，数据可视化，绘制散点图，scatter

 

demo.py（绘制散点图，scatter）：

# coding=utf-8
from matplotlib import pyplot as plt
from matplotlib import font_manager


# 设置中文字体。(Linux中可以通过命令：fc-list :lang=zh 查看系统中支持中文的字体)
my_font = font_manager.FontProperties(fname="/usr/share/fonts/truetype/arphic/ukai.ttc")

x_3 = range(1,32)
x_10 = range(51,82)

# 3月份气温数据
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]

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

# 绘制散点图
plt.scatter(x_3,y_3,label="3月份")  # 需要plt.legend()才能显示label图例
plt.scatter(x_10,y_10,label="10月份")

# 调整x轴的刻度
_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],fontproperties=my_font,rotation=45)

# 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("标题",fontproperties=my_font)

# 展示
plt.show()