如何在matplotlib中设置轮廓标签的背景色? [英] how to set the background color of contour labels in matplotlib?

问题描述

我正在使用命令:

  axins.clabel(c，levls，fontsize = 4，fmt ='％4.2f'，colors ='white')

要为我的轮廓生成标签，我希望它们是带有红色背景的白色(colors='white' 有效)，我不知道是否可以为它们指定背景颜色?

解决方案

我参加聚会已经晚了几年，但是这个答案仍然在Google上出现，因此这是我受@pelson的答案启发而破解的解决方案./p>

如果您将等高线图设置为:

  CS = ax.contour(X，Y，Z)clabels = ax.clabel(CS)

然后你可以简单地使用

更新背景颜色

  [clabels中的txt的txt.set_backgroundcolor('white')]

然而，边界框 (bbox) 非常大并且经常不必要地遮蔽其他特征.所以最好直接更新bbox:

  [txt.set_bbox(dict(facecolor ='white'，edgecolor ='none'，pad = 0))for clabels中的txt]

I'm using the command :

axins.clabel(c, levls, fontsize=4, fmt='%4.2f', colors= 'white')

to generate labels for my contours, I'd like them to be white (colors='white' works) with a red background, I can't find whether it's possible or not to specify a background color for them ?

解决方案

I am several years late to the part party, but this answer is still coming up on Google so here is the solution I hacked inspired by @pelson's answer.

If you set up the contour plot as:

CS = ax.contour(X, Y, Z)
clabels = ax.clabel(CS)

Then you can simply update the background colours using

[txt.set_backgroundcolor('white') for txt in clabels]

However the bounding box (bbox) is quite large and often obscures other features unnecessarily. So it is better to update the bbox directly:

[txt.set_bbox(dict(facecolor='white', edgecolor='none', pad=0)) for txt in clabels]

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