3 import matplotlib.pyplot as plt 4 from matplotlib import rc 5 rc( ' mathtext ' , default= ' regular ' ) 7 time = np.arange(10 ) 8 temp = np.random.random(10)*30 9 Swdown = np.random.random(10)*100-10 10 Rn = np.random.random(10)*100-10 12 fig = plt.figure() 13 ax = fig.add_subplot(111 ) 14 ax.plot(time, Swdown, ' - ' , label = ' Swdown ' ) 15 ax.plot(time, Rn, ' - ' , label = ' Rn ' ) 16 ax2 = ax.twinx() 17 ax2.plot(time, temp, ' -r ' , label = ' temp ' ) 18 ax.legend(loc= 0) 19 ax.grid() 20 ax.set_xlabel( " Time (h) " ) 21 ax.set_ylabel(r " Radiation ($MJ\,m^{-2}\,d^{-1}$) " ) 22 ax2.set_ylabel(r " Temperature ($^\circ$C) " ) 23 ax2.set_ylim(0, 35 ) 24 ax.set_ylim(-20,100 ) 25 ax2.legend(loc= 0) 26 plt.savefig( ' 0.png ' )

每个句柄对应一个图例。

2. 合并图例

1) 仅使用一个轴的legend()函数

 1 # -*- coding: utf-8 -*-
 2 import numpy as np
 3 import matplotlib.pyplot as plt
 4 from matplotlib import rc
 5 rc('mathtext', default='regular')
 7 time = np.arange(10)
 8 temp = np.random.random(10)*30
 9 Swdown = np.random.random(10)*100-10
10 Rn = np.random.random(10)*100-10
12 fig = plt.figure()
13 ax = fig.add_subplot(111)
15 lns1 = ax.plot(time, Swdown, '-', label = 'Swdown')
16 lns2 = ax.plot(time, Rn, '-', label = 'Rn')
17 ax2 = ax.twinx()
18 lns3 = ax2.plot(time, temp, '-r', label = 'temp')
20 # added these three lines
21 lns = lns1+lns2+lns3
22 labs = [l.get_label() for l in lns]
23 ax.legend(lns, labs, loc=0)
25 ax.grid()
26 ax.set_xlabel("Time (h)")
27 ax.set_ylabel(r"Radiation ($MJ\,m^{-2}\,d^{-1}$)")
28 ax2.set_ylabel(r"Temperature ($^\circ$C)")
29 ax2.set_ylim(0, 35)
30 ax.set_ylim(-20,100)
31 plt.savefig('0.png')

可以看到y1轴和y2轴的图例已经合并了

2)使用figure.legend()

 1 # -*- coding: utf-8 -*-
 2 import numpy as np
 3 import matplotlib.pyplot as plt
 5 x = np.linspace(0,10)
 6 y = np.linspace(0,10)
 7 z = np.sin(x/3)**2*98
 9 fig = plt.figure()
10 ax = fig.add_subplot(111)
11 ax.plot(x,y, '-', label = 'Quantity 1')
13 ax2 = ax.twinx()
14 ax2.plot(x,z, '-r', label = 'Quantity 2')
15 fig.legend(loc=1)
17 ax.set_xlabel("x [units]")
18 ax.set_ylabel(r"Quantity 1")
19 ax2.set_ylabel(r"Quantity 2")
21 plt.savefig('0.png')

可以看到图例位置不对,已经出界,需要使用bbox_to_anchor和bbox_transform设置。

fig.legend(loc=1, bbox_to_anchor=(1,1), bbox_transform=ax.transAxes)

 1 # -*- coding: utf-8 -*-
 2 import numpy as np
 3 import matplotlib.pyplot as plt
 5 x = np.linspace(0,10)
 6 y = np.linspace(0,10)
 7 z = np.sin(x/3)**2*98
 9 fig = plt.figure()
10 ax = fig.add_subplot(111)
11 ax.plot(x,y, '-', label = 'Quantity 1')
13 ax2 = ax.twinx()
14 ax2.plot(x,z, '-r', label = 'Quantity 2')
15 fig.legend(loc=1, bbox_to_anchor=(1,1), bbox_transform=ax.transAxes)
17 ax.set_xlabel("x [units]")
18 ax.set_ylabel(r"Quantity 1")
19 ax2.set_ylabel(r"Quantity 2")
21 plt.savefig('0.png')

可以看到图例已经正常了。

转自: StackOverflow