【python】绘图集锦，python集锦,1、双Y轴，不同坐标

【python】绘图集锦，python集锦,1、双Y轴，不同坐标

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：

【python】绘图集锦