2. matplotlib繪製散點圖
阿新 • • 發佈:2019-01-06
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()