python绘图集锦
Posted youngyan
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了python绘图集锦相关的知识,希望对你有一定的参考价值。
1、双Y轴,不同坐标范围
1 def double_Y_axis(): 2 #sns.set_style("darkgrid") 3 4 without_rain = pd.read_csv("./data/s1201/S1201_2015_5_26.csv") 5 with_rain = pd.read_csv("./data/s1201/S1201_2016_5_25.csv") 6 7 y1_1= without_rain[‘TEMP‘] 8 y1_2 = without_rain[‘PRECIPITATIONAMOUNT‘] 9 x1 = without_rain[‘OBSTIME‘] 10 11 y2_1 = with_rain[‘TEMP‘] 12 y2_2 = with_rain[‘PRECIPITATIONAMOUNT‘] 13 x2 = with_rain[‘OBSTIME‘] 14 15 day_1 = [parser(x) for x in x1] 16 day_2 = [parser(x) for x in x2] 17 18 19 fig = plt.figure() 20 ax1_1 = fig.add_subplot(211) 21 ax2_1 = fig.add_subplot(212) 22 23 ax1_2 = ax1_1.twinx() 24 ax2_2 = ax2_1.twinx() 25 26 ax1_1.plot(day_1 ,y1_1, ‘b‘,marker=‘o‘,label=‘temp‘) 27 ax1_2.plot(day_1,y1_2,‘r‘,marker=‘o‘,label=‘precipitation‘) 28 29 ax2_1.plot(day_2 ,y2_1, ‘b‘,marker=‘o‘,label= ‘temp‘) 30 ax2_2.plot(day_2,y2_2,‘r‘,marker=‘o‘,label = ‘precipitation‘) 31 32 hours = mdates.DateFormatter(‘%H:%M‘) 33 34 ax1_1.set_title("The temp variation without rain") 35 ax1_1.set_ylabel(‘Y values for temp‘) 36 ax1_2.set_ylabel(‘Y values for precipitation‘) 37 ax1_2.set_ylim(-0.2,0.2,0.1) 38 ax1_1.set_ylim(15,30) 39 40 ax2_1.set_title("The temp variation with rain") 41 ax2_1.set_ylabel(‘Y values for temp‘) 42 ax2_2.set_ylabel(‘Y values for precipitation‘) 43 ax1_1.xaxis.set_major_formatter(hours) 44 ax2_1.xaxis.set_major_formatter(hours) 45 ax1_1.grid(color = ‘#95a5a6‘) 46 ax2_1.grid(color = ‘#95a5a6‘) 47 48 ax1_1.legend() 49 ax1_2.legend() 50 51 plt.show()
显示:
以上是关于python绘图集锦的主要内容,如果未能解决你的问题,请参考以下文章