1. 程式人生 > >2. matplotlib繪製散點圖

2. matplotlib繪製散點圖

與繪製直線圖的唯一區別:plt.scatter

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

my_font = font_manager.FontProperties(fname="/System/Library/Fonts/Hiragino Sans GB.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)

#設定圖形大小
plt.figure(figsize=(20,8),dpi=80)

#使用scatter方法繪製散點圖,和之前繪製折線圖的唯一區別
plt.scatter(x_3,y_3,label="3月份")
plt.scatter(x_10,y_10,label="10月份")

#調整x軸的刻度
_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)

#新增圖例
plt.legend(loc="upper left",prop=my_font)

#新增描述資訊
plt.xlabel("時間",fontproperties=my_font)
plt.ylabel("溫度",fontproperties=my_font)
plt.title("標題",fontproperties=my_font)
#展示
plt.show()

顯示效果: