blocks|key|556989|text|对于图例标签，可以使用类似下面的内容。图例标签是保存的绘图线。modFreq是与绘制线相对应的实际标签的名称。然后第三个参数是图例的位置。最后，您可以传入任何参数，就像我在下面介绍的，但主要需要前三个参数。此外，如果在plot命令中正确设置了标签，则应执行此操作。只需使用location参数调用legend，它就会找到每行中的标签。我有更好的运气创造我自己的传奇，如下所示。似乎在所有情况下都有效，似乎从来没有得到正确的另一种方式。如果你不明白，请告诉我：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|556990|legendLabels+=+[]
for+i+in+range(modSize):
++++legendLabels.append(ax.plot(x,hstack((array([0]),actSum[j,semi,i,semi])),+color=plotColor[i%258],+dashes=dashes[i%254])[0])+#linestyle=dashs[i%254]+++++++
legArgs+=+dict(title='AM+Templates+(Hz)',bbox_to_anchor=[.4,1.05],borderpad=0.1,labelspacing=0,handlelength=1.8,handletextpad=0.05,frameon=False,ncol=4,+columnspacing=0.02)+#ncol,numpoints,columnspacing,title,bbox_transform,prop
leg+=+ax.legend(tuple(legendLabels),tuple(modFreq),'upper+center',**legArgs)
leg.get_title().set_fontsize(tick_size)|code-block|syntax|javascript|556991|您还可以使用边框更改图例的字体大小或几乎任何参数。|556992|以上评论中所述的全局标题可以通过按提供的链接添加文本来完成：http://matplotlib.sourceforge.net/examples/pylab_examples/newscalarformatter_demo.html|offset|length|556993|f.text(0.5,0.975,'The+new+formatter,+default+settings',horizontalalignment='center',
+++++++verticalalignment='top')|556994|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.sourceforge.net/examples/pylab_examples/newscalarformatter_demo.html^0|0|0|0|U|2E|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Y|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|Z|8|@]|9|@$K|10|L|11|1|12]]|A|$]]|$1|M|3|N|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|O|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V]]]]

For legend labels can use something like below. Legendlabels are the plot lines saved. modFreq are where the name of the actual labels corresponding to the plot lines. Then the third parameter is the location of the legend. Lastly, you can pass in any arguments as I've down here but mainly need the first three. Also, you are supposed to if you set the labels correctly in the plot command. To just call legend with the location parameter and it finds the labels in each of the lines. I have had better luck making my own legend as below. Seems to work in all cases where have never seemed to get the other way going properly. If you don't understand let me know:

<pre><code>legendLabels = []
for i in range(modSize):
 legendLabels.append(ax.plot(x,hstack((array([0]),actSum[j,semi,i,semi])), color=plotColor[i%8], dashes=dashes[i%4])[0]) #linestyle=dashs[i%4] 
legArgs = dict(title='AM Templates (Hz)',bbox_to_anchor=[.4,1.05],borderpad=0.1,labelspacing=0,handlelength=1.8,handletextpad=0.05,frameon=False,ncol=4, columnspacing=0.02) #ncol,numpoints,columnspacing,title,bbox_transform,prop
leg = ax.legend(tuple(legendLabels),tuple(modFreq),'upper center',**legArgs)
leg.get_title().set_fontsize(tick_size)
</code></pre>

You can also use the leg to change fontsizes or nearly any parameter of the legend.

Global title as stated in the above comment can be done with adding text per the link provided:
<a href="http://matplotlib.sourceforge.net/examples/pylab_examples/newscalarformatter_demo.html" rel="nofollow">http://matplotlib.sourceforge.net/examples/pylab_examples/newscalarformatter_demo.html</a>

<pre><code>f.text(0.5,0.975,'The new formatter, default settings',horizontalalignment='center',
 verticalalignment='top')
</code></pre>

blocks|key|557021|text|suptitle似乎是个不错的选择，但实际上，figure有一个transFigure属性，您可以使用它：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|557022|fig=figure(1)
text(0.5,+0.95,+'test',+transform=fig.transFigure,+horizontalalignment='center')|code-block|syntax|javascript|557023|entityMap^0|0|8|N|6|W|B|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

<code>suptitle</code> seems the way to go, but for what it's worth, the <code>figure</code> has a <code>transFigure</code> property that you can use:

<pre><code>fig=figure(1)
text(0.5, 0.95, 'test', transform=fig.transFigure, horizontalalignment='center')
</code></pre>

blocks|key|557157|text|除了orbeckst+answer之外，人们可能还想将子情节向下移动。这是一个OOP风格的MWE：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|557158|import+matplotlib.pyplot+as+plt

fig+=+plt.figure()
st+=+fig.suptitle("suptitle",+fontsize="x-large")

ax1+=+fig.add_subplot(311)
ax1.plot([1,2,3])
ax1.set_title("ax1")

ax2+=+fig.add_subplot(312)
ax2.plot([1,2,3])
ax2.set_title("ax2")

ax3+=+fig.add_subplot(313)
ax3.plot([1,2,3])
ax3.set_title("ax3")

fig.tight_layout()

#+shift+subplots+down:
st.set_y(0.95)
fig.subplots_adjust(top=0.85)

fig.savefig("test.png")|code-block|syntax|javascript|557159|提供：|557160|​|557161|📷|atomic|557162|557163|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/a/9221226/788700|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/fb76f0c96beabbcec0689b0c1b169209.png|imageAlt^0|2|F|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@]|9|@$A|15|B|16|1|17]]|C|$]]|$1|D|3|E|5|F|7|18|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|19|8|@]|9|@]|C|$]]|$1|K|3|L|5|6|7|1A|8|@]|9|@]|C|$]]|$1|M|3|N|5|O|7|1B|8|@]|9|@$A|1C|B|1D|1|1E]]|C|$]]|$1|P|3|L|5|6|7|1F|8|@]|9|@]|C|$]]|$1|Q|3|-4|5|6|7|1G|8|@]|9|@]|C|$]]]|R|$S|$5|T|U|V|C|$W|X]]|Y|$5|Z|U|10|C|$11|12|13|-4]]]]

In addition to the <a href="https://stackoverflow.com/a/9221226/788700">orbeckst answer</a> one might also want to shift the subplots down. Here's an MWE in OOP style:

<pre class="lang-py prettyprint-override"><code>import matplotlib.pyplot as plt

fig = plt.figure()
st = fig.suptitle("suptitle", fontsize="x-large")

ax1 = fig.add_subplot(311)
ax1.plot([1,2,3])
ax1.set_title("ax1")

ax2 = fig.add_subplot(312)
ax2.plot([1,2,3])
ax2.set_title("ax2")

ax3 = fig.add_subplot(313)
ax3.plot([1,2,3])
ax3.set_title("ax3")

fig.tight_layout()

# shift subplots down:
st.set_y(0.95)
fig.subplots_adjust(top=0.85)

fig.savefig("test.png")
</code></pre>

gives:

<a href="https://i.stack.imgur.com/jEdUM.png" rel="noreferrer"><img src="https://i.stack.imgur.com/jEdUM.png" alt="enter image description here"></a>

I've started with matplot and managed some basic plots, but now I find it hard to discover how to do some stuff I need now :(

My actual question is how to place a global title and global legend on a figure with subplots.

I'm doing 2x3 subplots where I have a lot of different graphs in various colors (about 200). To distinguish (most) of them I wrote something like

<pre><code>def style(i, total):
 return dict(color=jet(i/total),
 linestyle=["-", "--", "-.", ":"][i%4],
 marker=["+", "*", "1", "2", "3", "4", "s"][i%7])

fig=plt.figure()
p0=fig.add_subplot(321)
for i, y in enumerate(data):
 p0.plot(x, trans0(y), "-", label=i, **style(i, total))
# and more subplots with other transN functions
</code></pre>

(any thoughts on this? :)) Each subplot has the same style function.

Now I'm trying to get a global title for all subplots and also a global legend which explains all styles. Also I need to make the font tiny to fit all 200 styles on there (I don't need completely unique styles, but at least some attempt)

Can someone help me solve this task?

Matplotlib - global legend and title aside subplots

我已经开始使用matplot并管理了一些基本的图，但现在我发现很难找到如何做一些我现在需要的东西:(我的实际问题是如何在带有子情节的图形上放置全局标题和全局图例。我正在做2x3的子图，我有很多不同颜色的不同图形(大约200个)。为了区分(大多数)它们，我写了类似这样的代码def style(i, total):    ...

问Matplotlib -全局图例和标题旁的子图
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