blocks|key|4410694|text|这实际上比你想象的要容易得多。这只是实际matplot输出中的默认设置。只需转到输出窗口顶部的配置子图按钮，并稍微降低您的右边框上限，它就会被修复。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4410695|​|4410696|📷|atomic|offset|length|4410697|4410698|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/f18b8b65cab58362b0c7c0f76d69428f.png|imageAlt^0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@$G|V|H|W|1|X]]|A|$]]|$1|I|3|C|5|6|7|Y|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q|R|-4]]]]

This is actually a lot easier than you'd think it is. It's simply a default setting in the actual matplot output. Just go to the configure subplot button at the top of your output window, and lower your right border upper limit a little and it'll be fixed. 

<img src="https://i.stack.imgur.com/Y7coE.png" alt="Example with button to click circled">

blocks|key|4410804|text|pairplot已在绘图矩阵外部添加了图例，但不清楚要将其移动到何处。其他图例可能会按照您的要求进行定位，即使这可能不是您真正想要的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4410805|plt.legend会将一个图例附加到当前轴，并且每个轴只能有一个图例，因此在您的代码中只绘制最后一个图例。但是您可以将多个图例附加到一个图形和IIUC，您希望相对于图形定位图例，因此图形图例似乎是最好的选择。|4410806|为了绘制图形图例，您需要显式地传递处理程序和标签。为此，我必须使用私有属性PairPlot._legend_data，我没有找到使用公共API的方法。|4410807|不幸的是，matplotlib不会自动腾出空间来更新这些图例，除非您做一些调整，否则它们将与子图重叠。我将只使用带有一些硬编码值的subplot_adjust，这些值在本例中适用，因为计算很复杂。|4410808|所以这就是希望能做你想要的代码：|4410809|g+=+sns.pairplot(iris,+hue='species',+palette='husl',+markers='d',+size=2.5,+plot_kws=
++++{
++++"s":40,
++++"alpha":1.0,
++++'lw':0.5,
++++'edgecolor':'k'
++++})

handles+=+g._legend_data.values()
labels+=+g._legend_data.keys()
g.fig.legend(handles=handles,+labels=labels,+loc='upper+center',+ncol=1)
g.fig.legend(handles=handles,+labels=labels,+loc='lower+center',+ncol=3)
g.fig.legend(handles=handles,+labels=labels,+loc='upper+left',+ncol=3)
g.fig.subplots_adjust(top=0.92,+bottom=0.08)|code-block|syntax|javascript|4410810|​|4410811|📷|atomic|4410812|4410813|操作人员在评论中询问是否可以在海运文件中找到这一点。当然，这只是纯matplotlib的一部分，并不特定于seaborn。但我也意识到，我必须依赖于一些未记录在案的功能。|4410814|PairGrid具有引用Figure实例的fig属性这一事实没有文档记录。无论如何，这是一个简单的猜测，我可以使用fig+=+plt.gcf()来代替。|4410815|获取图例的标签和句柄比较棘手。我通过查看PairGrid.add_legend的文档字符串了解了_legend_data属性，但是文档字符串本身有一点隐藏(它不会出现在web中)，并且该属性被下划线标记，就好像它是私有的一样，所以使用它感觉很不舒服。我发现在公共方法的文档字符串中提到私有属性是不一致的，也许我们应该将legend_data作为公共属性，但我离题了。|4410816|或者，您可以尝试从子图中提取标签和句柄。你可能会猜到这些小情节有这些信息，但没有实际的保证，所以这意味着依赖于未记录的行为。事实证明，非对角线的子图有它(但对角线的子图没有，所以如果你只看第一个子图，你会被误导)，你可以做handles,+labels+=+fig.get_axes()[1].get_legend_handles_labels()。但正如我所说的，这是未记录的行为，即使您只使用有记录的API。|4410817|你也可以创建自己的句柄，但这会很麻烦，这就是为什么我会寻找捷径，即使没有文档。|4410818|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/cebbcd7b65884551ca0784be72ebc99d.png|imageAlt^0|0|8|0|0|A|0|11|L|0|1T|E|0|0|0|0|0|1|0|0|0|0|0|8|C|6|L|3|1L|F|0|K|J|1C|C|4F|B|0|33|1R|0|0^^$0|@$1|2|3|4|5|6|7|1H|8|@$9|1I|A|1J|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1K|8|@$9|1L|A|1M|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|1N|8|@$9|1O|A|1P|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1Q|8|@$9|1R|A|1S|B|C]]|D|@]|E|$]]|$1|L|3|M|5|6|7|1T|8|@]|D|@]|E|$]]|$1|N|3|O|5|P|7|1U|8|@]|D|@]|E|$Q|R]]|$1|S|3|T|5|6|7|1V|8|@]|D|@]|E|$]]|$1|U|3|V|5|W|7|1W|8|@]|D|@$9|1X|A|1Y|1|1Z]]|E|$]]|$1|X|3|T|5|6|7|20|8|@]|D|@]|E|$]]|$1|Y|3|Z|5|6|7|21|8|@]|D|@]|E|$]]|$1|10|3|11|5|6|7|22|8|@$9|23|A|24|B|C]|$9|25|A|26|B|C]|$9|27|A|28|B|C]|$9|29|A|2A|B|C]]|D|@]|E|$]]|$1|12|3|13|5|6|7|2B|8|@$9|2C|A|2D|B|C]|$9|2E|A|2F|B|C]|$9|2G|A|2H|B|C]]|D|@]|E|$]]|$1|14|3|15|5|6|7|2I|8|@$9|2J|A|2K|B|C]]|D|@]|E|$]]|$1|16|3|17|5|6|7|2L|8|@]|D|@]|E|$]]|$1|18|3|-4|5|6|7|2M|8|@]|D|@]|E|$]]]|19|$1A|$5|1B|1C|1D|E|$1E|1F|1G|-4]]]]

<code>pairplot</code> already adds a legend outside the plot matrix and it is not clear where you want to move it. The other legends are probably being positioned as you requested even if that might be not what you actually want.

<code>plt.legend</code> will attach a legend to the current axes and there can be only one legend per axes so in your code only the last legend is drawn. But you can attach several legends to a figure and IIUC you want to position the legends relative to the figure so figure legends seems like the best option.

In order to plot figure legends you need to explicitly pass the handlers and labels. I had to use the private attribute <code>PairPlot._legend_data</code> for that, I did not find a way to do it using the public API.

Unfortunately matplotlib won't automatically make room to acomodate these legends and they will overlap with the subplots unless you make some adjustments. I will just use <code>subplot_adjust</code> with some hardcoded values that work for me in this case because calculations are tricky.

So this is the code that hopefully does what you want:

<pre><code>g = sns.pairplot(iris, hue='species', palette='husl', markers='d', size=2.5, plot_kws=
 {
 "s":40,
 "alpha":1.0,
 'lw':0.5,
 'edgecolor':'k'
 })

handles = g._legend_data.values()
labels = g._legend_data.keys()
g.fig.legend(handles=handles, labels=labels, loc='upper center', ncol=1)
g.fig.legend(handles=handles, labels=labels, loc='lower center', ncol=3)
g.fig.legend(handles=handles, labels=labels, loc='upper left', ncol=3)
g.fig.subplots_adjust(top=0.92, bottom=0.08)
</code></pre>

<a href="https://i.stack.imgur.com/MNXuR.png" rel="noreferrer"><img src="https://i.stack.imgur.com/MNXuR.png" alt="pairplot"></a>

The OP asked in a comment whether this can be found in the seaborn documentation. Of course part of this is just pure matplotlib, not specific to seaborn. But I also realized that I had to rely on a couple of undocumented features.

The fact that <code>PairGrid</code> has a <code>fig</code> attribute referencing the <code>Figure</code> instance is not documented. Anyway that was an easy guess and I could have used <code>fig = plt.gcf()</code> instead.

Getting the labels and handles of the legend is trickier. I learnt about the <code>_legend_data</code> attribute by looking at the docstring of <code>PairGrid.add_legend</code>, but the docstring itself is a bit hidden (it does not appear in the web) and the attribute is underscored as if it were private, so using it feels uncomfortable. I find it inconsistent that a private attribute is mentioned in the docstring of a public method, probably we should have <code>legend_data</code> as a public attribute, but I digress.

Alternatively you could try to extract the labels and handles from the subplots. You could guess that the subplots have this information but there are no actual guaranties so this means relying on undocumented behaviour. It turns out that the non-diagonal subplots have it (but the diagonal ones don't, so if you just looked at the first subplot you would be misguided) and you can do <code>handles, labels = fig.get_axes()[1].get_legend_handles_labels()</code>. But as I said this is undocumented behaviour even if you are using only documented API.

You could also create your own handles but it would be cumbersome, that's why I looked for shortcuts, even if undocumented.

blocks|key|4410846|text|要控制默认配对图例的位置：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4410847|++++g._legend.set_bbox_to_anchor((0.5,+0.5))|code-block|syntax|javascript|4410848|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|$]]

To control the position of the default pairplot legend:

<pre><code> g._legend.set_bbox_to_anchor((0.5, 0.5))
</code></pre>

I would like to move the Seaborn pairplot legend outside the scatter plot matrix. The official <a href="https://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.pairplot.html" rel="noreferrer">docs</a> don't give a keyword <code>legend</code>. I am trying to plot the legend outside the plot in 3 different locations simultaneously: bottom center, top center, right center

I have tried this:

<pre><code>import matplotlib.pyplot as plt
import seaborn as sns
iris = sns.load_dataset("iris")
g = sns.pairplot(iris,hue='species', palette='husl', markers='d', size=2.5, plot_kws=
 {
 "s":40,
 "alpha":1.0,
 'lw':0.5,
 'edgecolor':'k'
 })
plt.legend(loc='upper center', bbox_to_anchor=(1.10, 1.0), ncol=1) #vertical legend
plt.legend(loc='lower center', bbox_to_anchor=(0.0, -0.15), ncol=3) #horizontal legend bottom
plt.legend(loc='upper left', bbox_to_anchor=(0.0, 1.15), ncol=3) #horizontal legend top
g.savefig('Test.png', bbox_inches='tight')
</code></pre>

The output of the above code is this file: <a href="https://i.stack.imgur.com/qWkMU.png" rel="noreferrer"><img src="https://i.stack.imgur.com/qWkMU.png" alt="output file"></a>.

All 3 legends are being printed incorrectly. I am not sure if it is doing the positioning that I requested. I am not sure what is happening on the right - it seems that 2 vertical legends are appearing and for some reason and they are fully overlapping each other. One of the two horizontal legends is not appearing at all.

Is there a way to avoid overlapping the vertical legends and also place the legend outside the plot in 3 locations - top center, bottom center, right center?

Seaborn pairplot legend - how to control position

我想将Seaborn对图图例移到散点图矩阵之外。官方不会给出关键字legend。我正在尝试同时在3个不同的位置绘制图例:底部中心，顶部中心，右侧中心我已经尝试过了：import matplotlib.pyplot as pltimport seaborn as snsiris = sns.load_dataset("i...

问Seaborn配对图图例-如何控制位置
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