blocks|key|81627|text|一种解决方案是探索文本对象中的边界框，然后自己生成一个框。这不是很方便。也许我的例子可以改进，转换总是让我有点困惑。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|81628|import+matplotlib.patches+as+patches
import+matplotlib.pyplot+as+plt

fig,+axs+=+plt.subplots(1,1)

t1+=+axs.text(0.4,0.6,+'Hello+world+line+1',+ha='center',+color='red',+weight='bold',+transform=axs.transAxes)
t2+=+axs.text(0.5,0.5,+'Hello+world+line+2',+ha='center',+color='green',+weight='bold',+transform=axs.transAxes)
t3+=+axs.text(0.6,0.4,+'Hello+world+line+3',+ha='center',+color='blue',+weight='bold',+transform=axs.transAxes)

fig.canvas.draw()

textobjs+=+[t1,t2,t3]

xmin+=+min([t.get_window_extent().xmin+for+t+in+textobjs])
xmax+=+max([t.get_window_extent().xmax+for+t+in+textobjs])
ymin+=+min([t.get_window_extent().ymin+for+t+in+textobjs])
ymax+=+max([t.get_window_extent().ymax+for+t+in+textobjs])

xmin,+ymin+=+fig.transFigure.inverted().transform((xmin,+ymin))
xmax,+ymax+=+fig.transFigure.inverted().transform((xmax,+ymax))

rect+=+patches.Rectangle((xmin,ymin),xmax-xmin,ymax-ymin,+facecolor='grey',+alpha=0.2,+transform=fig.transFigure)

axs.add_patch(rect)|code-block|syntax|javascript|81629|您可能想要添加一个小缓冲区等，但想法将保持不变。|81630|​|81631|📷|atomic|offset|length|81632|81633|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/66bf9ca21a4d9b791e20509cdd30d23d.png|imageAlt^0|0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|10|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|11|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|12|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|13|8|@]|9|@$N|14|O|15|1|16]]|A|$]]|$1|P|3|J|5|6|7|17|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X|Y|-4]]]]

A solution could be to explore the boundingbox from the text objects and generate a box yourself. Its not very convenient. Perhaps my example can be improved, transformations always confuse me a bit.

<pre><code>import matplotlib.patches as patches
import matplotlib.pyplot as plt

fig, axs = plt.subplots(1,1)

t1 = axs.text(0.4,0.6, 'Hello world line 1', ha='center', color='red', weight='bold', transform=axs.transAxes)
t2 = axs.text(0.5,0.5, 'Hello world line 2', ha='center', color='green', weight='bold', transform=axs.transAxes)
t3 = axs.text(0.6,0.4, 'Hello world line 3', ha='center', color='blue', weight='bold', transform=axs.transAxes)

fig.canvas.draw()

textobjs = [t1,t2,t3]

xmin = min([t.get_window_extent().xmin for t in textobjs])
xmax = max([t.get_window_extent().xmax for t in textobjs])
ymin = min([t.get_window_extent().ymin for t in textobjs])
ymax = max([t.get_window_extent().ymax for t in textobjs])

xmin, ymin = fig.transFigure.inverted().transform((xmin, ymin))
xmax, ymax = fig.transFigure.inverted().transform((xmax, ymax))

rect = patches.Rectangle((xmin,ymin),xmax-xmin,ymax-ymin, facecolor='grey', alpha=0.2, transform=fig.transFigure)

axs.add_patch(rect)
</code></pre>

You might want to add a small buffer etc, but the idea would stay the same.

<img src="https://i.stack.imgur.com/QHOWe.png" alt="enter image description here">

blocks|key|298920|text|​|type|unstyled|depth|inlineStyleRanges|entityRanges|data|298921|📷|atomic|offset|length|298922|网上有一些文档(我能快速找到的最好的文档是http://matplotlib.org/users/annotations_guide.html)，介绍了如何使用VPacker和AnnotationBbox将不同字体属性的几个文本组合在一起。|style|CODE|298923|from+matplotlib.offsetbox+import+TextArea,+VPacker,+AnnotationBbox
from+pylab+import+*
fig+=+figure(1)
ax+=+gca()
texts+=+['alpha','beta','epsilon']
colors+=+['red','cyan','black']
Texts+=+[]
for+t,c+in+zip(texts,colors):
++++Texts.append(TextArea(t,textprops=dict(color=c)))
texts_vbox+=+VPacker(children=Texts,pad=0,sep=0)
ann+=+AnnotationBbox(texts_vbox,(.02,.5),xycoords=ax.transAxes,
++++++++++++++++++++++++++++box_alignment=(0,.5),bboxprops+=+
++++++++++++++++++++++++++++dict(facecolor='wheat',boxstyle='round',color='black'))
ann.set_figure(fig)
fig.artists.append(ann)|code-block|syntax|javascript|298924|我不确定为什么最后两行都需要。我想倒数第二个就足够了。|298925|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/77799a935955d9c42295589402de9dc8.png|imageAlt|1|LINK|MUTABLE|url|http://matplotlib.org/users/annotations_guide.html^0|0|0|1|0|0|28|7|2G|E|L|1E|1|0|0|0^^$0|@$1|2|3|4|5|6|7|15|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|16|8|@]|9|@$E|17|F|18|1|19]]|A|$]]|$1|G|3|H|5|6|7|1A|8|@$E|1B|F|1C|I|J]|$E|1D|F|1E|I|J]]|9|@$E|1F|F|1G|1|1H]]|A|$]]|$1|K|3|L|5|M|7|1I|8|@]|9|@]|A|$N|O]]|$1|P|3|Q|5|6|7|1J|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1K|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|Y|Z|-4]]|10|$5|11|V|12|A|$13|14]]]]

<img src="https://i.stack.imgur.com/7d50Z.png" alt="enter image description here">
There is some documentation online somewhere (the best I can find quickly is <a href="http://matplotlib.org/users/annotations_guide.html" rel="noreferrer">http://matplotlib.org/users/annotations_guide.html</a>) for using <code>VPacker</code> and an <code>AnnotationBbox</code> to put together several texts of varying font properties.

<pre><code>from matplotlib.offsetbox import TextArea, VPacker, AnnotationBbox
from pylab import *
fig = figure(1)
ax = gca()
texts = ['alpha','beta','epsilon']
colors = ['red','cyan','black']
Texts = []
for t,c in zip(texts,colors):
 Texts.append(TextArea(t,textprops=dict(color=c)))
texts_vbox = VPacker(children=Texts,pad=0,sep=0)
ann = AnnotationBbox(texts_vbox,(.02,.5),xycoords=ax.transAxes,
 box_alignment=(0,.5),bboxprops = 
 dict(facecolor='wheat',boxstyle='round',color='black'))
ann.set_figure(fig)
fig.artists.append(ann)
</code></pre>

I'm not sure why both of the last two lines are needed. I would think the second to last would suffice.

how is possible to make a box around text in matplotlib? 
I have text on three different lines and in three different colors:

<pre><code> ax.text(2,1, 'alpha', color='red')
 ax.text(2,2, 'beta', color='cyan')
 ax.text(2,3, 'epsilon', color='black')
</code></pre>

I saw the tutorial <a href="http://matplotlib.org/users/recipes.html">http://matplotlib.org/users/recipes.html</a> (last example) but I can't solve the problem. 
Thanks in advance.

Box around text in matplotlib

在matplotlib中如何在文本周围创建一个框？我有三种不同行和三种不同颜色的文本： ax.text(2,1, 'alpha', color='red') ax.text(2,2, 'beta', color='cyan') ax.text(2,3, 'epsilon', color='black')我看了教程 (最...

问matplotlib中文本周围的方框
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