带阴影线的 matplotlib 自定义图例

Question

我似乎可以弄清楚如何将句柄和标签传递matplotlib.patches.Patch给图例。

import matplotlib.pyplot as plt
import matplotlib.patches as mpatches


a_val = 0.6
colors = ['#EA5739','#FEFFBE','#4BB05C']


circ1 = mpatches.Patch( facecolor=colors[0],alpha=a_val,hatch=['\\\\'],label='Label1')
circ2= mpatches.Patch( facecolor=colors[1],alpha=a_val,hatch='o',label='Label2')
circ3 = mpatches.Patch(facecolor=colors[2],alpha=a_val,hatch='+',label='Label3')

fig,(ax) = plt.subplots()

ax.legend(handles = [circ1,circ2,circ3],loc=2)
plt.tight_layout()

为什么上例中的图例是空白的？

Answer 1

要么我无法重现您的问题，要么您遗漏了一个巨大的错误。当我运行上面的代码时，我收到一个关于list不可散列的错误，这似乎源于第一个Patch调用的hatch=['\\\\']kwarg。删除列表语法（并使用带有 4 个反斜杠的原始字符串以获得额外效果）似乎对我在 matplotlib 2.0.2 上有用：

import matplotlib.pyplot as plt
import matplotlib.patches as mpatches


a_val = 0.6
colors = ['#EA5739','#FEFFBE','#4BB05C']


circ1 = mpatches.Patch( facecolor=colors[0],alpha=a_val,hatch=r'\\\\',label='Label1')
circ2= mpatches.Patch( facecolor=colors[1],alpha=a_val,hatch='o',label='Label2')
circ3 = mpatches.Patch(facecolor=colors[2],alpha=a_val,hatch='+',label='Label3')

fig,(ax) = plt.subplots()

ax.legend(handles = [circ1,circ2,circ3],loc=2)
plt.tight_layout()

这就是你所看到的吗？