blocks|key|2570323|text|确保您在正确的数字上调用suptitle('')。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2570324|In+[23]:+axes+=+df.boxplot(by='g')

In+[24]:+fig+=+axes[0][0].get_figure()

In+[25]:+fig.suptitle('')
Out[25]:+<matplotlib.text.Text+at+0x109496090>|code-block|syntax|javascript|2570325|entityMap^0|C|C|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Make sure your calling <code>suptitle('')</code> on the right figure.

<pre><code>In [23]: axes = df.boxplot(by='g')

In [24]: fig = axes[0][0].get_figure()

In [25]: fig.suptitle('')
Out[25]: &lt;matplotlib.text.Text at 0x109496090&gt;
</code></pre>

blocks|key|2293461|text|我认为这方面有问题，而且通常不喜欢熊猫添加的罐装标题，因为它依赖的是专栏名称，而这些栏目的名称通常从未准备好出版。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2293462|您可以在~\pandas\plotting\_core.py中编辑源代码|2293463|在第2698行，您会发现：|2293464|fig.suptitle('Boxplot+grouped+by+{byline}'.format(byline=byline))|code-block|syntax|javascript|2293465|只需简单地评论这一行，熊猫就不会默认将标题添加到盒子的顶部。当您升级熊猫版本时，您将不得不重新进行此更改。|2293466|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|Q|8|@]|9|@]|A|$]]|$1|F|3|G|5|H|7|R|8|@]|9|@]|A|$I|J]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

I as having problems with this and generally never liked the canned title that the pandas was adding as it was dependent on the column names which are typically never publishing ready.

You can edit the source code in ~\pandas\plotting\_core.py

On line 2698 you will find:

<pre><code>fig.suptitle('Boxplot grouped by {byline}'.format(byline=byline))
</code></pre>

Simple comment this line out and pandas will no longer add the title to the top of the boxplot by default. You will have to redo this change as you upgrade pandas versions.

blocks|key|2293482|text|我也有同样的问题。最后使用这个解决方案|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2293483|import+matplotlib.pyplot+as+plt++++
#+df+is+your+dataframe
df.boxplot(column='value',+by='category')
title_boxplot+=+'awesome+title'
plt.title(+title_boxplot+)
plt.suptitle('')+#+that's+what+you're+after
plt.show()|code-block|syntax|javascript|2293484|entityMap|0|LINK|mutability|MUTABLE|url|https://vsupalov.com/get-rid-of-the-automatic-pandas-generated-boxplot-title/^0|D|6|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

I had the same problem. Ended up using <a href="https://vsupalov.com/get-rid-of-the-automatic-pandas-generated-boxplot-title/" rel="noreferrer">this solution</a>
<pre><code>import matplotlib.pyplot as plt 
# df is your dataframe
df.boxplot(column='value', by='category')
title_boxplot = 'awesome title'
plt.title( title_boxplot )
plt.suptitle('') # that's what you're after
plt.show()
</code></pre>

blocks|key|2293489|text|上述任何一种解决方案对我都没有用，但这一种解决方案确实奏效了：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2293490|axes+=+df.boxplot(column=values,+by=index,+ax=ax,+rot=90)
axes.set_title('')|code-block|syntax|javascript|2293491|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

None of the above solutions worked for me, but this one did:
<pre class="lang-python prettyprint-override"><code>axes = df.boxplot(column=values, by=index, ax=ax, rot=90)
axes.set_title('')

</code></pre>

blocks|key|2570358|text|在尝试了所有建议之后，只有此修改对我有效，这也允许您修改其他参数：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2570359|ax+=+df.boxplot(by+='value',+column+=['category'],+grid+=+False);
plt.title('')
plt.suptitle('')
ax.set_title('');
ax.set_xlabel("x_label");
ax.set_ylabel("y_label");
ax+=+plt.show()|code-block|syntax|javascript|2570360|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

After trying all the suggestions, only this modification worked for me, which also lets you modify other parameters:
<pre><code>ax = df.boxplot(by ='value', column =['category'], grid = False);
plt.title('')
plt.suptitle('')
ax.set_title('');
ax.set_xlabel(&quot;x_label&quot;);
ax.set_ylabel(&quot;y_label&quot;);
ax = plt.show()
</code></pre>

blocks|key|2293540|text|这对我起了作用：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2293541|ax+=df.boxplot(列=+col1，by+=+col2)|2293542|ax.get_figure().suptitle()|2293543|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

This worked for me:
ax = df.boxplot(column = col1, by = col2)
ax.get_figure().suptitle()

blocks|key|1575752|text|虽然前面的答案正确地删除了字幕中的文本，但它们仍然为其留出了空间。在某些情况下，例如在使用fig.tight_layout()时，这可能是一个问题。因此，要完全删除标题，可以这样做：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1575753|axes+=+df.boxplot(by='g')
fig+=+axes[0][0].get_figure()
fig._suptitle.set_visible(False)
fig._suptitle.set_in_layout(False)|code-block|syntax|javascript|1575754|entityMap^0|19|I|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Although the previous answers correctly remove the text in the suptitle, they still leave space for it. This might be an issue in certain cases, such as when using <code>fig.tight_layout()</code>. Therefore, to completely remove the title, this can be done:
<pre><code>axes = df.boxplot(by='g')
fig = axes[0][0].get_figure()
fig._suptitle.set_visible(False)
fig._suptitle.set_in_layout(False)
</code></pre>

blocks|key|2293634|text|在Pandas+1.1.4中，以下内容为我所用：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2293635|ax+=+pft[[col,+"abuse_marked"]].boxplot(by="abuse_marked",+vert=False)
ax.get_figure().suptitle("")|code-block|syntax|javascript|2293636|​|2293637|📷|atomic|2293638|2293639|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/036b5382d7d0bf814ad9430dabe0052f.png|imageAlt^0|8|5|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|12|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|13|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|14|8|@]|D|@$9|15|A|16|1|17]]|E|$]]|$1|P|3|L|5|6|7|18|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

<h3>In Pandas <code>1.1.4</code>, the following worked for me:</h3>
<pre><code>ax = pft[[col, &quot;abuse_marked&quot;]].boxplot(by=&quot;abuse_marked&quot;, vert=False)
ax.get_figure().suptitle(&quot;&quot;)
</code></pre>
<a href="https://i.stack.imgur.com/tnj6G.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/tnj6G.png" alt="enter image description here" /></a>

When drawing a pandas boxplot, grouped by another column, pandas automatically adds a title to the plot, saying 'Boxplot grouped by....'. Is there a way to remove that? I tried using 

<pre><code>suptitle('')
</code></pre>

as per <a href="https://stackoverflow.com/questions/17984948/pandas-boxplot-of-one-column-based-on-another-column">Pandas: boxplot of one column based on another column</a>

but this does not seem to work. I am using latest pandas (0.13.1) version.

Set no title for pandas boxplot (groupby)

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

当画一个熊猫盒子图，按另一栏分组时，熊猫会自动添加一个标题，上面写着“按…分组的盒子图”。有什么办法把它去掉吗？我试着用suptitle('')根据但这似乎行不通。我正在使用最新的熊猫(0.13.1)版本。

问不设置大熊猫方块的标题(群)
EN

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问不设置大熊猫方块的标题(群)EN