传说

2014-05-16 20 views
16

点的手动设置颜色我正在做散点图,看起来像这样:传说

enter image description here

(在问题的底部MWE)

正如上面图片中可以看出通过matplotlib,图例中点的颜色自动设置为蓝色。我需要将这些点设置为颜色映射中不存在的其他颜色(即:黑色),以免它们与所述颜色映射关联的颜色混淆。

我环顾四周,但matplotlib.legend模块似乎并不接受color关键字。有没有办法做到这一点?


这里的MWE:

import matplotlib.pyplot as plt 
import numpy as np 

def rand_data(): 
    return np.random.uniform(low=0., high=1., size=(100,)) 

# Generate data. 
x, y, x2, x3 = [rand_data() for i in range(4)] 
# This data defines the markes and labels used. 
x1 = np.random.random_integers(7, 9, size=(100,)) 

# Order all lists so smaller points are on top. 
order = np.argsort(-np.array(x2)) 
# Order x and y. 
x_o, y_o = np.take(x, order), np.take(y, order) 
# Order list related to markers and labels. 
z1 = np.take(x1, order) 
# Order list related to sizes. 
z2 = np.take(x2, order) 
# Order list related to colors. 
z3 = np.take(x3, order) 

plt.figure() 
cm = plt.cm.get_cmap('RdYlBu') 

# Scatter plot where each value in z1 has a different marker and label 
# assigned. 
mrk = {7: ('o', '7'), 8: ('s', '8'), 9: ('D', '9')} 
for key, value in mrk.items(): 

    s1 = (z1 == key) 
    plt.scatter(x_o[s1], y_o[s1], marker=value[0], label=value[1], 
     s=z2[s1] * 100., c=z3[s1], cmap=cm, lw=0.2) 

# Plot colorbar 
plt.colorbar() 

# Plot legend. 
plt.legend(loc="lower left", markerscale=0.7, scatterpoints=1, fontsize=10) 

plt.show() 

回答

24

您可以获取传说手柄和改变自己的颜色做:

ax = plt.gca() 
leg = ax.get_legend() 
leg.legendHandles[0].set_color('red') 
leg.legendHandles[1].set_color('yellow') 
+1

谢谢你,这样做的伎俩。 – Gabriel

+1

当你用'plt.plot'而不是'plt.scatter'绘制点时,你有没有试过这样做?不适合我。运行mpl v 2.0.0。 – saintsfan342000

+0

@ saintsfan342000我还没有在这个特定的情况下尝试过。我会尽快回复您 –

1

你可以用lh.get_label()检索每个传奇手柄的标签,如果你想要将颜色映射到特定标签。

对于我而言,它的工作最好创建从legendHandles的字典,并改变颜色,像这样:

ax = plt.gca() 
leg = ax.get_legend() 
hl_dict = {handle.get_label(): handle for handle in leg.legendHandles} 
hl_dict['9'].set_color('red') 
hl_dict['8'].set_color('yellow')