Python自定义标题和图例中的图例

时间:2014-09-08 23:19:34

标签: python matplotlib

我试图在我的人物顶部附近展示一个传奇(如this)和上面的标题(如this

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(1,24,1)
y = np.array([400,650,1020,1300,1600,1950,2200,2550,2850,3150,3400,3550,3800,3950,4050,4150,4210,4250,4300,4320,4310,4300,4200])

fig = plt.figure()
ax = plt.subplot(111)

ax.plot(x,y,'o', label='data set 1')
plt.text(0.5, 1.4, 'Data set A-1', 
        horizontalalignment='center', 
        fontsize=16,
        transform = ax.transAxes)
ax.set_xlabel('x', fontsize=14)
ax.set_ylabel('y', fontsize=14)
ax.set_ylim(ymax=5000)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.25),
          ncol=3, fancybox=True, shadow=True)
#plt.tight_layout()
plt.show()

fig.savefig('test.pdf')

但是,当我保存此图表时,标题和图例都会丢失。只有轴和数据点保存在pdf中。

2 个答案:

答案 0 :(得分:3)

您正在将它们移出可见区域。如果您使用set_title mpl将照顾它的位置。与图例上的边界框相同:

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(1,24,1)
y = np.array([400,650,1020,1300,1600,1950,2200,2550,2850,3150,3400,3550,3800,3950,4050,4150,4210,4250,4300,4320,4310,4300,4200])

fig = plt.figure()
ax = plt.subplot(111)

ax.plot(x,y,'o', label='data set 1')
ax.set_title('Data set A-1')

ax.set_xlabel('x', fontsize=14)
ax.set_ylabel('y', fontsize=14)
ax.set_ylim(ymax=5000)

ax.legend(loc='upper center', 
          ncol=3, fancybox=True, shadow=True)
#plt.tight_layout()
plt.show()

enter image description here

您可能还希望将num_points=1作为kwarg传递给legend

答案 1 :(得分:1)

您是否希望图例也在轴上?

enter image description here

#!/usr/bin/python3

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(1,24,1)
y = np.array([400,650,1020,1300,1600,1950,2200,2550,
              2850,3150,3400,3550,3800,3950,4050,4150,
              4210,4250,4300,4320,4310,4300,4200])

fig = plt.figure()
ax = plt.subplot(111)

ax.plot(x,y,'o', label='data set 1')

ax.set_xlabel('x', fontsize=14)
ax.set_ylabel('y', fontsize=14)
ax.set_ylim(ymax=5000)


ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05),
          ncol=3, fancybox=True, shadow=True)
title = ax.set_title('Data set A-1')

fig.tight_layout()

fig.subplots_adjust(top=0.85)
title.set_y(1.07)

fig.savefig("13.png")