当edgecolor ='none'时，Matplotlib标记消失 [英] Matplotlib markers disappear when edgecolor = 'none'

问题描述

我正在尝试绘制一些PCA数据的散点图.我做了一些非常典型的代码:

I'm trying to make a scatter plot of some PCA data. I do some pretty typical code:

plt.plot(pca[:,0], pca[:,1], '.',ms=3,  markerfacecolor = self.colors[k],
            markeredgecolor = 'none')

我希望它只显示没有轮廓的标记面颜色.问题是当markeredgecolor = 'none' 时，标记完全消失.当我将markerfacecolor ='none'或设置为一种颜色并删除markeredgecolor时，它的工作原理与预期的一样.

I want it to show just the marker face color with no outline. The problem is that the markers disappear completely when markeredgecolor = 'none'. When I set markerfacecolor='none' or to a color and remove markeredgecolor, it works like expected.

我刚刚将 matplotlib、numpy 等更新为最新版本，在 Python 2.7 上运行.

I just updated matplotlib, numpy, etc. to the newest versions, running on Python 2.7.

感谢您的帮助.

推荐答案

我认为这是几个月前修复的错误:https://github.com/matplotlib/matplotlib/pull/598

I think this is a bug that was fixed a few months ago: https://github.com/matplotlib/matplotlib/pull/598

无论您制作多大的标记，或者如果使用 marker ='o'代替'.'，如果您使用markeredgecolor='none'.

Regardless of how large you make the markers or if you use marker='o' instead of '.', they'll be invisible if you use markeredgecolor='none'.

作为解决方法，您可以将边缘颜色设置为与面部颜色相同.

As a workaround, you can just set the edge colors to the same as the face colors.

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