python绘图集锦

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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()

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