blocks|key|733594|text|您可以通过添加以下行轻松添加第二个图例：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|733595|ax2.legend(loc=0)|code-block|syntax|javascript|733596|你会得到这样的结果：|733597|​|733598|📷|atomic|offset|length|733599|733600|但是如果你希望所有标签都在一个图例上，那么你应该这样做：|733601|import+numpy+as+np
import+matplotlib.pyplot+as+plt
from+matplotlib+import+rc
rc('mathtext',+default='regular')

time+=+np.arange(10)
temp+=+np.random.random(10)*30
Swdown+=+np.random.random(10)*100-10
Rn+=+np.random.random(10)*100-10

fig+=+plt.figure()
ax+=+fig.add_subplot(111)

lns1+=+ax.plot(time,+Swdown,+'-',+label+=+'Swdown')
lns2+=+ax.plot(time,+Rn,+'-',+label+=+'Rn')
ax2+=+ax.twinx()
lns3+=+ax2.plot(time,+temp,+'-r',+label+=+'temp')

#+added+these+three+lines
lns+=+lns1%2Blns2%2Blns3
labs+=+[l.get_label()+for+l+in+lns]
ax.legend(lns,+labs,+loc=0)

ax.grid()
ax.set_xlabel("Time+(h)")
ax.set_ylabel(r"Radiation+($MJ\,m%5E{-2}\,d%5E{-1}$)")
ax2.set_ylabel(r"Temperature+($%5E\circ$C)")
ax2.set_ylim(0,+35)
ax.set_ylim(-20,100)
plt.show()|733602|这将为您提供以下内容：|733603|733604|733605|733606|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/3b6d2a787c806edccb27947168bcbf98.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/388cbfab8aaabb7a6b7b3333011b02ce.png^0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1B|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1C|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|1D|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|1E|8|@]|9|@$N|1F|O|1G|1|1H]]|A|$]]|$1|P|3|J|5|6|7|1I|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|1J|8|@]|9|@]|A|$]]|$1|S|3|T|5|D|7|1K|8|@]|9|@]|A|$E|F]]|$1|U|3|V|5|6|7|1L|8|@]|9|@]|A|$]]|$1|W|3|J|5|6|7|1M|8|@]|9|@]|A|$]]|$1|X|3|L|5|M|7|1N|8|@]|9|@$N|1O|O|1P|1|1Q]]|A|$]]|$1|Y|3|J|5|6|7|1R|8|@]|9|@]|A|$]]|$1|Z|3|-4|5|6|7|1S|8|@]|9|@]|A|$]]]|10|$11|$5|12|13|14|A|$15|16|17|-4]]|18|$5|12|13|14|A|$15|19|17|-4]]]]

You can easily add a second legend by adding the line:

<pre><code>ax2.legend(loc=0)
</code></pre>

You'll get this:

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

But if you want all labels on one legend then you should do something like this:

<pre><code>import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('mathtext', default='regular')

time = np.arange(10)
temp = np.random.random(10)*30
Swdown = np.random.random(10)*100-10
Rn = np.random.random(10)*100-10

fig = plt.figure()
ax = fig.add_subplot(111)

lns1 = ax.plot(time, Swdown, '-', label = 'Swdown')
lns2 = ax.plot(time, Rn, '-', label = 'Rn')
ax2 = ax.twinx()
lns3 = ax2.plot(time, temp, '-r', label = 'temp')

# added these three lines
lns = lns1+lns2+lns3
labs = [l.get_label() for l in lns]
ax.legend(lns, labs, loc=0)

ax.grid()
ax.set_xlabel("Time (h)")
ax.set_ylabel(r"Radiation ($MJ\,m^{-2}\,d^{-1}$)")
ax2.set_ylabel(r"Temperature ($^\circ$C)")
ax2.set_ylim(0, 35)
ax.set_ylim(-20,100)
plt.show()
</code></pre>

Which will give you this:

<img src="https://i.stack.imgur.com/Z8pg4.png" alt="enter image description here">

blocks|key|949688|text|我不确定此功能是否是新功能，但您也可以使用get_legend_handles_labels()方法，而不是自己跟踪行和标签：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|949689|import+numpy+as+np
import+matplotlib.pyplot+as+plt
from+matplotlib+import+rc
rc('mathtext',+default='regular')

pi+=+np.pi

#+fake+data
time+=+np.linspace+(0,+25,+50)
temp+=+50+/+np.sqrt+(2+*+pi+*+3**2)+\
++++++++*+np.exp+(-((time+-+13)**2+/+(3**2))**2)+%2B+15
Swdown+=+400+/+np.sqrt+(2+*+pi+*+3**2)+*+np.exp+(-((time+-+13)**2+/+(3**2))**2)
Rn+=+Swdown+-+10

fig+=+plt.figure()
ax+=+fig.add_subplot(111)

ax.plot(time,+Swdown,+'-',+label+=+'Swdown')
ax.plot(time,+Rn,+'-',+label+=+'Rn')
ax2+=+ax.twinx()
ax2.plot(time,+temp,+'-r',+label+=+'temp')

#+ask+matplotlib+for+the+plotted+objects+and+their+labels
lines,+labels+=+ax.get_legend_handles_labels()
lines2,+labels2+=+ax2.get_legend_handles_labels()
ax2.legend(lines+%2B+lines2,+labels+%2B+labels2,+loc=0)

ax.grid()
ax.set_xlabel("Time+(h)")
ax.set_ylabel(r"Radiation+($MJ\,m%5E{-2}\,d%5E{-1}$)")
ax2.set_ylabel(r"Temperature+($%5E\circ$C)")
ax2.set_ylim(0,+35)
ax.set_ylim(-20,100)
plt.show()|code-block|syntax|javascript|949690|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|$]]

I'm not sure if this functionality is new, but you can also use the get_legend_handles_labels() method rather than keeping track of lines and labels yourself:

<pre><code>import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('mathtext', default='regular')

pi = np.pi

# fake data
time = np.linspace (0, 25, 50)
temp = 50 / np.sqrt (2 * pi * 3**2) \
 * np.exp (-((time - 13)**2 / (3**2))**2) + 15
Swdown = 400 / np.sqrt (2 * pi * 3**2) * np.exp (-((time - 13)**2 / (3**2))**2)
Rn = Swdown - 10

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(time, Swdown, '-', label = 'Swdown')
ax.plot(time, Rn, '-', label = 'Rn')
ax2 = ax.twinx()
ax2.plot(time, temp, '-r', label = 'temp')

# ask matplotlib for the plotted objects and their labels
lines, labels = ax.get_legend_handles_labels()
lines2, labels2 = ax2.get_legend_handles_labels()
ax2.legend(lines + lines2, labels + labels2, loc=0)

ax.grid()
ax.set_xlabel("Time (h)")
ax.set_ylabel(r"Radiation ($MJ\,m^{-2}\,d^{-1}$)")
ax2.set_ylabel(r"Temperature ($^\circ$C)")
ax2.set_ylim(0, 35)
ax.set_ylim(-20,100)
plt.show()
</code></pre>

blocks|key|949738|text|我找到了下面的一个官方matplotlib示例，它使用host_subplot在一个图例中显示多个y轴和所有不同的标签。不需要解决方法。到目前为止我找到的最好的解决方案。http://matplotlib.org/examples/axes_grid/demo_parasite_axes2.html|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|949739|from+mpl_toolkits.axes_grid1+import+host_subplot
import+mpl_toolkits.axisartist+as+AA
import+matplotlib.pyplot+as+plt

host+=+host_subplot(111,+axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)

par1+=+host.twinx()
par2+=+host.twinx()

offset+=+60
new_fixed_axis+=+par2.get_grid_helper().new_fixed_axis
par2.axis["right"]+=+new_fixed_axis(loc="right",
++++++++++++++++++++++++++++++++++++axes=par2,
++++++++++++++++++++++++++++++++++++offset=(offset,+0))

par2.axis["right"].toggle(all=True)

host.set_xlim(0,+2)
host.set_ylim(0,+2)

host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")

p1,+=+host.plot([0,+1,+2],+[0,+1,+2],+label="Density")
p2,+=+par1.plot([0,+1,+2],+[0,+3,+2],+label="Temperature")
p3,+=+par2.plot([0,+1,+2],+[50,+30,+15],+label="Velocity")

par1.set_ylim(0,+4)
par2.set_ylim(1,+65)

host.legend()

plt.draw()
plt.show()|code-block|syntax|javascript|949740|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/examples/axes_grid/demo_parasite_axes2.html^0|2D|1T|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 found an following official matplotlib example that uses host_subplot to display multiple y-axes and all the different labels in one legend. No workaround necessary. Best solution I found so far. 
<a href="http://matplotlib.org/examples/axes_grid/demo_parasite_axes2.html" rel="noreferrer">http://matplotlib.org/examples/axes_grid/demo_parasite_axes2.html</a> 

<pre><code>from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import matplotlib.pyplot as plt

host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)

par1 = host.twinx()
par2 = host.twinx()

offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
 axes=par2,
 offset=(offset, 0))

par2.axis["right"].toggle(all=True)

host.set_xlim(0, 2)
host.set_ylim(0, 2)

host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")

p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")

par1.set_ylim(0, 4)
par2.set_ylim(1, 65)

host.legend()

plt.draw()
plt.show()
</code></pre>

blocks|key|733724|text|一个可能适合你需要的快速技巧。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|733725|取下盒子的边框，手动将两个图例放在一起。像这样的东西..|733726|ax1.legend(loc+=+(.75,.1),+frameon+=+False)
ax2.legend(+loc+=+(.75,+.05),+frameon+=+False)|code-block|syntax|javascript|733727|其中loc元组是表示图表中位置的从左到右和从下到上的百分比。|733728|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|O|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

A quick hack that may suit your needs..

Take off the frame of the box and manually position the two legends next to each other. Something like this..

<pre><code>ax1.legend(loc = (.75,.1), frameon = False)
ax2.legend( loc = (.75, .05), frameon = False)
</code></pre>

Where the loc tuple is left-to-right and bottom-to-top percentages that represent the location in the chart.

blocks|key|733755|text|正如matplotlib.org的example中所提供的，从多个轴实现单个图例的一种简洁方法是使用绘图手柄：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|733756|import+matplotlib.pyplot+as+plt


fig,+ax+=+plt.subplots()
fig.subplots_adjust(right=0.75)

twin1+=+ax.twinx()
twin2+=+ax.twinx()

#+Offset+the+right+spine+of+twin2.++The+ticks+and+label+have+already+been
#+placed+on+the+right+by+twinx+above.
twin2.spines.right.set_position(("axes",+1.2))

p1,+=+ax.plot([0,+1,+2],+[0,+1,+2],+"b-",+label="Density")
p2,+=+twin1.plot([0,+1,+2],+[0,+3,+2],+"r-",+label="Temperature")
p3,+=+twin2.plot([0,+1,+2],+[50,+30,+15],+"g-",+label="Velocity")

ax.set_xlim(0,+2)
ax.set_ylim(0,+2)
twin1.set_ylim(0,+4)
twin2.set_ylim(1,+65)

ax.set_xlabel("Distance")
ax.set_ylabel("Density")
twin1.set_ylabel("Temperature")
twin2.set_ylabel("Velocity")

ax.yaxis.label.set_color(p1.get_color())
twin1.yaxis.label.set_color(p2.get_color())
twin2.yaxis.label.set_color(p3.get_color())

tkw+=+dict(size=4,+width=1.5)
ax.tick_params(axis='y',+colors=p1.get_color(),+**tkw)
twin1.tick_params(axis='y',+colors=p2.get_color(),+**tkw)
twin2.tick_params(axis='y',+colors=p3.get_color(),+**tkw)
ax.tick_params(axis='x',+**tkw)

ax.legend(handles=[p1,+p2,+p3])

plt.show()|code-block|syntax|javascript|733757|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/stable/gallery/ticks_and_spines/multiple_yaxis_with_spines.html^0|H|7|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]]]]

As provided in the <a href="https://matplotlib.org/stable/gallery/ticks_and_spines/multiple_yaxis_with_spines.html" rel="nofollow noreferrer">example</a> from matplotlib.org, a clean way to implement a single legend from multiple axes is with plot handles:
<pre><code>import matplotlib.pyplot as plt


fig, ax = plt.subplots()
fig.subplots_adjust(right=0.75)

twin1 = ax.twinx()
twin2 = ax.twinx()

# Offset the right spine of twin2. The ticks and label have already been
# placed on the right by twinx above.
twin2.spines.right.set_position((&quot;axes&quot;, 1.2))

p1, = ax.plot([0, 1, 2], [0, 1, 2], &quot;b-&quot;, label=&quot;Density&quot;)
p2, = twin1.plot([0, 1, 2], [0, 3, 2], &quot;r-&quot;, label=&quot;Temperature&quot;)
p3, = twin2.plot([0, 1, 2], [50, 30, 15], &quot;g-&quot;, label=&quot;Velocity&quot;)

ax.set_xlim(0, 2)
ax.set_ylim(0, 2)
twin1.set_ylim(0, 4)
twin2.set_ylim(1, 65)

ax.set_xlabel(&quot;Distance&quot;)
ax.set_ylabel(&quot;Density&quot;)
twin1.set_ylabel(&quot;Temperature&quot;)
twin2.set_ylabel(&quot;Velocity&quot;)

ax.yaxis.label.set_color(p1.get_color())
twin1.yaxis.label.set_color(p2.get_color())
twin2.yaxis.label.set_color(p3.get_color())

tkw = dict(size=4, width=1.5)
ax.tick_params(axis='y', colors=p1.get_color(), **tkw)
twin1.tick_params(axis='y', colors=p2.get_color(), **tkw)
twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)
ax.tick_params(axis='x', **tkw)

ax.legend(handles=[p1, p2, p3])

plt.show()
</code></pre>

blocks|key|949916|text|准备工作|type|unstyled|depth|inlineStyleRanges|entityRanges|data|949917|import+numpy+as+np
from+matplotlib+import+pyplot+as+plt

fig,+ax1+=+plt.subplots(+figsize=(15,6)+)

Y1,+Y2+=+np.random.random((2,100))

ax2+=+ax1.twinx()|code-block|syntax|javascript|949918|内容|949919|我很惊讶到目前为止它还没有显示出来，但最简单的方法是手动将它们收集到一个轴对象中(它们位于彼此的顶部)|949920|l1+=+ax1.plot(+range(len(Y1)),+Y1,+label='Label+1'+)
l2+=+ax2.plot(+range(len(Y2)),+Y2,+label='Label+2',+color='orange'+)

ax1.legend(+handles=l1%2Bl2+)|949921|​|949922|📷|atomic|offset|length|949923|949924|或者让fig.legend()自动将它们收集到周围的图形中，并摆弄bbox_to_anchor参数：|style|CODE|949925|ax1.plot(+range(len(Y1)),+Y1,+label='Label+1'+)
ax2.plot(+range(len(Y2)),+Y2,+label='Label+2',+color='orange'+)

fig.legend(+bbox_to_anchor=(.97,+.97)+)|949926|949927|949928|949929|最终定稿|949930|fig.tight_layout()
fig.savefig('stackoverflow.png',+bbox_inches='tight')|949931|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/e6f72bfc4c29c511a423764525f969dc.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/a3ce0487ad1915a88e5b4357acc75ccf.png^0|0|0|0|0|0|0|0|1|0|0|0|3|C|X|E|0|0|0|0|1|1|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1J|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1K|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|1L|8|@]|9|@]|A|$]]|$1|K|3|L|5|D|7|1M|8|@]|9|@]|A|$E|F]]|$1|M|3|N|5|6|7|1N|8|@]|9|@]|A|$]]|$1|O|3|P|5|Q|7|1O|8|@]|9|@$R|1P|S|1Q|1|1R]]|A|$]]|$1|T|3|N|5|6|7|1S|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|1T|8|@$R|1U|S|1V|W|X]|$R|1W|S|1X|W|X]]|9|@]|A|$]]|$1|Y|3|Z|5|D|7|1Y|8|@]|9|@]|A|$E|F]]|$1|10|3|N|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|11|3|P|5|Q|7|20|8|@]|9|@$R|21|S|22|1|23]]|A|$]]|$1|12|3|N|5|6|7|24|8|@]|9|@]|A|$]]|$1|13|3|14|5|6|7|25|8|@]|9|@]|A|$]]|$1|15|3|16|5|D|7|26|8|@]|9|@]|A|$E|F]]|$1|17|3|-4|5|6|7|27|8|@]|9|@]|A|$]]]|18|$19|$5|1A|1B|1C|A|$1D|1E|1F|-4]]|1G|$5|1A|1B|1C|A|$1D|1H|1F|-4]]]]

<h3>Preparation</h3>
<pre class="lang-py prettyprint-override"><code>import numpy as np
from matplotlib import pyplot as plt

fig, ax1 = plt.subplots( figsize=(15,6) )

Y1, Y2 = np.random.random((2,100))

ax2 = ax1.twinx()
</code></pre>
<h3>Content</h3>
I'm surprised it did not show up so far but the simplest way is to either collect them manually into one of the axes objs (that lie on top of each other)
<pre class="lang-py prettyprint-override"><code>l1 = ax1.plot( range(len(Y1)), Y1, label='Label 1' )
l2 = ax2.plot( range(len(Y2)), Y2, label='Label 2', color='orange' )

ax1.legend( handles=l1+l2 )
</code></pre>
<a href="https://i.stack.imgur.com/uvQpt.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/uvQpt.png" alt="Plot_axes" /></a>
or have them collected automatically into the surrounding figure by <code>fig.legend()</code> and fiddle around with the the <code>bbox_to_anchor</code> parameter:
<pre class="lang-py prettyprint-override"><code>ax1.plot( range(len(Y1)), Y1, label='Label 1' )
ax2.plot( range(len(Y2)), Y2, label='Label 2', color='orange' )

fig.legend( bbox_to_anchor=(.97, .97) )
</code></pre>
<a href="https://i.stack.imgur.com/j4YXS.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/j4YXS.png" alt="Plot_figlegend" /></a>
<h3>Finalization</h3>
<pre class="lang-py prettyprint-override"><code>fig.tight_layout()
fig.savefig('stackoverflow.png', bbox_inches='tight')
</code></pre>

I have a plot with two y-axes, using <code>twinx()</code>. I also give labels to the lines, and want to show them with <code>legend()</code>, but I only succeed to get the labels of one axis in the legend:

<pre><code>import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('mathtext', default='regular')

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(time, Swdown, '-', label = 'Swdown')
ax.plot(time, Rn, '-', label = 'Rn')
ax2 = ax.twinx()
ax2.plot(time, temp, '-r', label = 'temp')
ax.legend(loc=0)
ax.grid()
ax.set_xlabel("Time (h)")
ax.set_ylabel(r"Radiation ($MJ\,m^{-2}\,d^{-1}$)")
ax2.set_ylabel(r"Temperature ($^\circ$C)")
ax2.set_ylim(0, 35)
ax.set_ylim(-20,100)
plt.show()
</code></pre>

So I only get the labels of the first axis in the legend, and not the label 'temp' of the second axis. How could I add this third label to the legend?

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

Secondary axis with twinx(): how to add to legend?

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