blocks|key|2613457|text|你需要make_subplots(rows=1,+cols=2)，add_traces()和fig.update_layout(xaxis=dict(domain=...)的精确组合|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2613458|使用fig=make_subplots(rows=1,+cols=2)设置一个“常规”子图，并包括两个描述为这里的跟踪。|ordered-list-item|2613459|使用fig.add_trace(go.Scatter([...[,+xaxis="x3"))使用自己的xaxis添加第三个跟踪|2613460|然后，调整子图1，为xaxis3使用：fig.update_layout(xaxis3=dict(anchor="free",+overlaying="x1",+position=0.0))腾出空间。|2613461|使用fig.update_layout([...],+yaxis2=dict(domain=[0.1,+1]))进行一些最后的调整|2613462|您必须考虑到domain的原因是因为point+3中的position属性不能是负的，因此您必须为双轴腾出空间。结果如下：|2613463|绘图|2613464|​|2613465|📷|atomic|2613466|2613467|完整代码：|2613468|from+plotly.subplots+import+make_subplots
import+plotly.graph_objects+as+go

#+initial+subplot+with+two+traces
fig+=+make_subplots(rows=1,+cols=2)

fig.add_trace(
++++go.Scatter(x=[1,+2,+3],+y=[4,+5,+6]),
++++row=1,+col=1
)

fig.add_trace(
++++go.Scatter(x=[20,+30,+40],+y=[50,+60,+70]),
++++row=1,+col=2
)

fig.update_layout(height=600,+width=800,
++++++++++++++++++title_text="Subplots+with+shared+x-axes")

#+extra+data+where+xaxis3+is+shared+with+subplot+1
fig.add_trace(go.Scatter(
++++x=[11,+12,+13],
++++y=[6,+5,+4],
++++name="xaxis3+data",
++++xaxis="x3"
))

#+some+adjustmentns+for+xaxis3
fig.update_layout(xaxis3=dict(
++++++++title="xaxis3+title",
++++++++titlefont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++tickfont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++anchor="free",
++++++++overlaying="x1",
++++++++side="right",
++++++++position=0.0
++++))

#+extra+data+where+xaxis4+is+shared+with+subplot+2
fig.add_trace(go.Scatter(
++++x=[50,+60,+70],
++++y=[60,+60,+60],
++++name="xaxis4+data",
++++xaxis="x4",
++++yaxis+=+'y2'
))

#+some+adjustments+for+xaxis4
fig.update_layout(xaxis4=dict(
++++++++title="xaxis4+title",
++++++++titlefont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++tickfont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++anchor="free",
++++++++overlaying="x2",
++++++++side="right",
++++++++position=0.0
++++))

#+make+room+to+display+double+x-axes
fig.update_layout(yaxis1=dict(domain=[0.1,+1]),
++++++++++++++++++yaxis2=dict(domain=[0.1,+1]),
+++++++++++++++++)

#+not+critical,+but+just+to+put+a+little+air+in+there
fig.update_layout(xaxis1=dict(domain=[0.0,+0.4]),
++++++++++++++++++xaxis2=dict(domain=[0.6,+1]),
+++++++++++++++++)

fig.show()|code-block|syntax|javascript|2613469|编辑:缩小标题和范围之间的空格。|2613470|一种方法是使用fig.update_layout(title=dict())更改标题本身的位置。|2613471|fig.update_layout(
++++title={
++++++++'text':+"Plot+Title",
++++++++'y':0.88,
++++++++'x':0.42,
++++++++'xanchor':+'left',
++++++++'yanchor':+'top'})|2613472|地块2|2613473|2613474|2613475|2613476|图2的完整代码|2613477|from+plotly.subplots+import+make_subplots
import+plotly.graph_objects+as+go

#+initial+subplot+with+two+traces
fig+=+make_subplots(rows=1,+cols=2)

fig.add_trace(
++++go.Scatter(x=[1,+2,+3],+y=[4,+5,+6]),
++++row=1,+col=1
)

fig.add_trace(
++++go.Scatter(x=[20,+30,+40],+y=[50,+60,+70]),
++++row=1,+col=2
)

fig.update_layout(height=600,+width=800,
++++++++++++++++++title_text="Subplots+with+shared+x-axes")

#+extra+data+where+xaxis3+is+shared+with+subplot+1
fig.add_trace(go.Scatter(
++++x=[11,+12,+13],
++++y=[6,+5,+4],
++++name="xaxis3+data",
++++xaxis="x3"
))

#+some+adjustmentns+for+xaxis3
fig.update_layout(xaxis3=dict(
++++++++title="xaxis3+title",
++++++++titlefont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++tickfont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++anchor="free",
++++++++overlaying="x1",
++++++++side="right",
++++++++position=0.0
++++))

#+extra+data+where+xaxis4+is+shared+with+subplot+2
fig.add_trace(go.Scatter(
++++x=[50,+60,+70],
++++y=[60,+60,+60],
++++name="xaxis4+data",
++++xaxis="x4",
++++yaxis+=+'y2'
))

#+some+adjustments+for+xaxis4
fig.update_layout(xaxis4=dict(
++++++++title="xaxis4+title",
++++++++titlefont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++tickfont=dict(
++++++++++++color="#9467bd"
++++++++),
++++++++anchor="free",
++++++++overlaying="x2",
++++++++side="right",
++++++++position=0.0
++++))

#+make+room+to+display+double+x-axes
fig.update_layout(yaxis1=dict(domain=[0.1,+1]),
++++++++++++++++++yaxis2=dict(domain=[0.1,+1]),
+++++++++++++++++)

#+not+critical,+but+just+to+put+a+little+air+in+there
fig.update_layout(xaxis1=dict(domain=[0.0,+0.4]),
++++++++++++++++++xaxis2=dict(domain=[0.6,+1]),
+++++++++++++++++)

fig.update_layout(
++++title={
++++++++'text':+"Plot+Title",
++++++++'y':0.88,
++++++++'x':0.42,
++++++++'xanchor':+'left',
++++++++'yanchor':+'top'})

fig.show()|2613478|entityMap|0|LINK|mutability|MUTABLE|url|https://plotly.com/python/subplots/|1|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/72dea2c6b1fb27774b6e75844e661f31.png|imageAlt|2|https://developer.qcloudimg.com/http-save/yehe-900000/7430d8a625ea631675a34d8092e1aa92.png^0|3|T|X|C|1A|14|0|2|X|1I|2|0|0|2|18|0|A|6|J|24|0|2|1I|0|6|6|I|7|R|8|0|0|0|0|1|1|0|0|0|0|0|7|V|0|0|0|0|0|1|2|0|0|0|0^^$0|@$1|2|3|4|5|6|7|20|8|@$9|21|A|22|B|C]|$9|23|A|24|B|C]|$9|25|A|26|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|27|8|@$9|28|A|29|B|C]]|D|@$9|2A|A|2B|1|2C]]|E|$]]|$1|I|3|J|5|H|7|2D|8|@$9|2E|A|2F|B|C]]|D|@]|E|$]]|$1|K|3|L|5|H|7|2G|8|@$9|2H|A|2I|B|C]|$9|2J|A|2K|B|C]]|D|@]|E|$]]|$1|M|3|N|5|H|7|2L|8|@$9|2M|A|2N|B|C]]|D|@]|E|$]]|$1|O|3|P|5|6|7|2O|8|@$9|2P|A|2Q|B|C]|$9|2R|A|2S|B|C]|$9|2T|A|2U|B|C]]|D|@]|E|$]]|$1|Q|3|R|5|6|7|2V|8|@]|D|@]|E|$]]|$1|S|3|T|5|6|7|2W|8|@]|D|@]|E|$]]|$1|U|3|V|5|W|7|2X|8|@]|D|@$9|2Y|A|2Z|1|30]]|E|$]]|$1|X|3|T|5|6|7|31|8|@]|D|@]|E|$]]|$1|Y|3|Z|5|6|7|32|8|@]|D|@]|E|$]]|$1|10|3|11|5|12|7|33|8|@]|D|@]|E|$13|14]]|$1|15|3|16|5|6|7|34|8|@]|D|@]|E|$]]|$1|17|3|18|5|6|7|35|8|@$9|36|A|37|B|C]]|D|@]|E|$]]|$1|19|3|1A|5|12|7|38|8|@]|D|@]|E|$13|14]]|$1|1B|3|1C|5|6|7|39|8|@]|D|@]|E|$]]|$1|1D|3|T|5|6|7|3A|8|@]|D|@]|E|$]]|$1|1E|3|V|5|W|7|3B|8|@]|D|@$9|3C|A|3D|1|3E]]|E|$]]|$1|1F|3|T|5|6|7|3F|8|@]|D|@]|E|$]]|$1|1G|3|1H|5|6|7|3G|8|@]|D|@]|E|$]]|$1|1I|3|1J|5|12|7|3H|8|@]|D|@]|E|$13|14]]|$1|1K|3|-4|5|6|7|3I|8|@]|D|@]|E|$]]]|1L|$1M|$5|1N|1O|1P|E|$1Q|1R]]|1S|$5|1T|1O|1U|E|$1V|1W|1X|-4]]|1Y|$5|1T|1O|1U|E|$1V|1Z|1X|-4]]]]

<p>You'll need a precise combination of <code>make_subplots(rows=1, cols=2)</code>, <code>add_traces()</code> and <code>fig.update_layout(xaxis=dict(domain=...)</code>:</p>
<ol>
<li><p>Set up a &quot;regular&quot; subplot using <code>fig=make_subplots(rows=1, cols=2)</code> and include two traces as described <a href="https://plotly.com/python/subplots/" rel="nofollow noreferrer">here</a>.</p>
</li>
<li><p>Add a third trace with its own xaxis using <code>fig.add_trace(go.Scatter([...[, xaxis=&quot;x3&quot;))</code></p>
</li>
<li><p>Then, adjust subplot 1 to make room for <code>xaxis3</code> using: <code>fig.update_layout(xaxis3=dict(anchor=&quot;free&quot;, overlaying=&quot;x1&quot;, position=0.0))</code></p>
</li>
<li><p>Make some final adjustments using <code>fig.update_layout([...], yaxis2=dict(domain=[0.1, 1]))</code></p>
</li>
</ol>
<p>The reason why you'll have to take <code>domain</code> into account is because the <code>position</code> attribute in <code>point 3</code> can't be negative, and you'll have to make room for the double x-axes somehow. Here's the result:</p>
<h3>Plot</h3>
<p><a href="https://i.stack.imgur.com/Ym4Et.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Ym4Et.png" alt="enter image description here" /></a></p>
<h3>Complete code:</h3>
<pre><code>from plotly.subplots import make_subplots
import plotly.graph_objects as go

# initial subplot with two traces
fig = make_subplots(rows=1, cols=2)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

fig.update_layout(height=600, width=800,
                  title_text=&quot;Subplots with shared x-axes&quot;)

# extra data where xaxis3 is shared with subplot 1
fig.add_trace(go.Scatter(
    x=[11, 12, 13],
    y=[6, 5, 4],
    name=&quot;xaxis3 data&quot;,
    xaxis=&quot;x3&quot;
))

# some adjustmentns for xaxis3
fig.update_layout(xaxis3=dict(
        title=&quot;xaxis3 title&quot;,
        titlefont=dict(
            color=&quot;#9467bd&quot;
        ),
        tickfont=dict(
            color=&quot;#9467bd&quot;
        ),
        anchor=&quot;free&quot;,
        overlaying=&quot;x1&quot;,
        side=&quot;right&quot;,
        position=0.0
    ))

# extra data where xaxis4 is shared with subplot 2
fig.add_trace(go.Scatter(
    x=[50, 60, 70],
    y=[60, 60, 60],
    name=&quot;xaxis4 data&quot;,
    xaxis=&quot;x4&quot;,
    yaxis = 'y2'
))

# some adjustments for xaxis4
fig.update_layout(xaxis4=dict(
        title=&quot;xaxis4 title&quot;,
        titlefont=dict(
            color=&quot;#9467bd&quot;
        ),
        tickfont=dict(
            color=&quot;#9467bd&quot;
        ),
        anchor=&quot;free&quot;,
        overlaying=&quot;x2&quot;,
        side=&quot;right&quot;,
        position=0.0
    ))

# make room to display double x-axes
fig.update_layout(yaxis1=dict(domain=[0.1, 1]),
                  yaxis2=dict(domain=[0.1, 1]),
                 )

# not critical, but just to put a little air in there
fig.update_layout(xaxis1=dict(domain=[0.0, 0.4]),
                  xaxis2=dict(domain=[0.6, 1]),
                 )

fig.show()
</code></pre>
<h3>Edit: Tighten the space between title and range.</h3>
<p>One approach is to change the position of the title itself using <code>fig.update_layout(title=dict())</code>:</p>
<pre><code>fig.update_layout(
    title={
        'text': &quot;Plot Title&quot;,
        'y':0.88,
        'x':0.42,
        'xanchor': 'left',
        'yanchor': 'top'})
</code></pre>
<h3>Plot 2</h3>
<p><a href="https://i.stack.imgur.com/6DZNA.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/6DZNA.png" alt="enter image description here" /></a></p>
<h3>Complete code for Plot 2</h3>
<pre><code>from plotly.subplots import make_subplots
import plotly.graph_objects as go

# initial subplot with two traces
fig = make_subplots(rows=1, cols=2)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

fig.update_layout(height=600, width=800,
                  title_text=&quot;Subplots with shared x-axes&quot;)

# extra data where xaxis3 is shared with subplot 1
fig.add_trace(go.Scatter(
    x=[11, 12, 13],
    y=[6, 5, 4],
    name=&quot;xaxis3 data&quot;,
    xaxis=&quot;x3&quot;
))

# some adjustmentns for xaxis3
fig.update_layout(xaxis3=dict(
        title=&quot;xaxis3 title&quot;,
        titlefont=dict(
            color=&quot;#9467bd&quot;
        ),
        tickfont=dict(
            color=&quot;#9467bd&quot;
        ),
        anchor=&quot;free&quot;,
        overlaying=&quot;x1&quot;,
        side=&quot;right&quot;,
        position=0.0
    ))

# extra data where xaxis4 is shared with subplot 2
fig.add_trace(go.Scatter(
    x=[50, 60, 70],
    y=[60, 60, 60],
    name=&quot;xaxis4 data&quot;,
    xaxis=&quot;x4&quot;,
    yaxis = 'y2'
))

# some adjustments for xaxis4
fig.update_layout(xaxis4=dict(
        title=&quot;xaxis4 title&quot;,
        titlefont=dict(
            color=&quot;#9467bd&quot;
        ),
        tickfont=dict(
            color=&quot;#9467bd&quot;
        ),
        anchor=&quot;free&quot;,
        overlaying=&quot;x2&quot;,
        side=&quot;right&quot;,
        position=0.0
    ))

# make room to display double x-axes
fig.update_layout(yaxis1=dict(domain=[0.1, 1]),
                  yaxis2=dict(domain=[0.1, 1]),
                 )

# not critical, but just to put a little air in there
fig.update_layout(xaxis1=dict(domain=[0.0, 0.4]),
                  xaxis2=dict(domain=[0.6, 1]),
                 )

fig.update_layout(
    title={
        'text': &quot;Plot Title&quot;,
        'y':0.88,
        'x':0.42,
        'xanchor': 'left',
        'yanchor': 'top'})

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


blocks|key|1227169|text|这个问题有点棘手，但可行。那里是一个例子，说明了如何在一个图中创建多个轴。基本上，您可以用twinx()创建另一个轴，然后以这样一种方式设置所有东西，使其能够很好地结束。问题是matplotlib会自动将其他轴放置在对面(x轴的情况下是'top'，y轴的情况是'right'+)。这就是为什么我们需要设置所有这些属性(在哪里显示轴，标签和滴答应该朝哪个方向放置)和一些好的东西，比如标签和滴答的颜色。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1227170|import+matplotlib.pyplot+as+plt

fig,+ax1+=+plt.subplots()
fig.subplots_adjust(right=0.75)

axs+=[]
axs.append(+ax1+)
for+i+in+range(1,3):
++++#+creates+another+axes+that+shares+the+same+y-axis+
++++axs.append(+ax1.twiny()+)+

offest+=+42
for+i,ax+in+enumerate(axs):
++++#+sets+the+ticks+to+be+shown+at+the+bottom
++++ax.xaxis.tick_bottom()
++++ax.tick_params(axis='x',+direction='out',labelbottom=True)
++++#+places+the+nex+axis+(ticks+and+description)+below+the+other+axes
++++ax.spines["bottom"].set_position(("outward",+offest*i))+#+additional+offset


line1,+=+axs[0].plot([0,+1,+2],+[0,+1,+2],+"b-",+label="Line+1")
line2,+=+axs[1].plot([0,+2,+4],+[0,+3,+2],+"r-",+label="Line+2")
line3,+=+axs[2].plot([0,+10,+60],+[50,+30,+15],+"g-",+label="Line+3")
lines+=+[line1,line2,line3]

lim+=+[(0,2),+(0,4),(2,65)]
XLabel+=+["Time","Distance","Height"]

for+i,ax+in+enumerate(axs):
++++#+set+limits
++++ax.set_xlim(+lim[i]+)
++++#+set+label
++++ax.set_xlabel(+XLabel[i]+)
++++#+set+label+position
++++ax.xaxis.set_label_position("bottom")
++++#+set+label+color
++++color+=+lines[i].get_color()
++++ax.xaxis.label.set_color(+color+)
++++#+set+tick+color
++++ax.tick_params(axis='x',+colors=color)
#+set+legend+only+in+one+axis+(but+with+all+lines)
ax1.legend(lines,+[l.get_label()+for+l+in+lines])

plt.show()|code-block|syntax|javascript|1227171|​|1227172|📷|atomic|1227173|1227174|顺便说一下，我使用matplotlib是因为我的方便。我更喜欢的是绘图库，但没有具体的原因。|1227175|entityMap|0|LINK|mutability|MUTABLE|url|https://matplotlib.org/3.3.2/gallery/ticks_and_spines/multiple_yaxis_with_spines.html|1|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/0b07c813d1948227075ddb1b26c8caf5.png|imageAlt^0|19|7|3A|5|3M|7|D|2|0|0|0|0|0|1|1|0|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@$9|17|A|18|B|C]|$9|19|A|1A|B|C]|$9|1B|A|1C|B|C]]|D|@$9|1D|A|1E|1|1F]]|E|$]]|$1|F|3|G|5|H|7|1G|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1H|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|1I|8|@]|D|@$9|1J|A|1K|1|1L]]|E|$]]|$1|P|3|L|5|6|7|1M|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1N|8|@]|D|@]|E|$]]|$1|S|3|-4|5|6|7|1O|8|@]|D|@]|E|$]]]|T|$U|$5|V|W|X|E|$Y|Z]]|10|$5|11|W|12|E|$13|14|15|-4]]]]

<p>The question is a bit tricky but feasible.
<a href="https://matplotlib.org/3.3.2/gallery/ticks_and_spines/multiple_yaxis_with_spines.html" rel="nofollow noreferrer">There</a> is an example of how to create multiple axes in a single plot.
Basically, you create another axis with <code>twinx()</code> and then set everything in such a way that it ends up nicely. The problem is that <em>matplotlib</em> automatically places other axes on the opposite side (so <code>'top'</code> in case of the x-axis and <code>'right'</code> in the case of the y-axis). This is why we need to set all these properties (where to show the axis, in which direction should the label and the ticks being placed) and a few nice things, such as the color of the label and the ticks.</p>
<pre class="lang-py prettyprint-override"><code>import matplotlib.pyplot as plt

fig, ax1 = plt.subplots()
fig.subplots_adjust(right=0.75)

axs =[]
axs.append( ax1 )
for i in range(1,3):
    # creates another axes that shares the same y-axis 
    axs.append( ax1.twiny() ) 

offest = 42
for i,ax in enumerate(axs):
    # sets the ticks to be shown at the bottom
    ax.xaxis.tick_bottom()
    ax.tick_params(axis='x', direction='out',labelbottom=True)
    # places the nex axis (ticks and description) below the other axes
    ax.spines[&quot;bottom&quot;].set_position((&quot;outward&quot;, offest*i)) # additional offset


line1, = axs[0].plot([0, 1, 2], [0, 1, 2], &quot;b-&quot;, label=&quot;Line 1&quot;)
line2, = axs[1].plot([0, 2, 4], [0, 3, 2], &quot;r-&quot;, label=&quot;Line 2&quot;)
line3, = axs[2].plot([0, 10, 60], [50, 30, 15], &quot;g-&quot;, label=&quot;Line 3&quot;)
lines = [line1,line2,line3]

lim = [(0,2), (0,4),(2,65)]
XLabel = [&quot;Time&quot;,&quot;Distance&quot;,&quot;Height&quot;]

for i,ax in enumerate(axs):
    # set limits
    ax.set_xlim( lim[i] )
    # set label
    ax.set_xlabel( XLabel[i] )
    # set label position
    ax.xaxis.set_label_position(&quot;bottom&quot;)
    # set label color
    color = lines[i].get_color()
    ax.xaxis.label.set_color( color )
    # set tick color
    ax.tick_params(axis='x', colors=color)
# set legend only in one axis (but with all lines)
ax1.legend(lines, [l.get_label() for l in lines])

plt.show()
</code></pre>
<p><a href="https://i.stack.imgur.com/Izr0O.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Izr0O.png" alt="output picture" /></a></p>
<p>BTW, I used <em>matplotlib</em> due to (my) convenience. It is the plotting library that I prefer but for no specific reason.</p>


<p>I'm using Plotly and making scatter plot subplots with a shared y-axis and different x-axes. I have attempted to use the figure object (fig['layout'][data index]) syntax to show multiple stacked x-axes and their respective ranges. I have only been successful in showing two xaxes and ranges per subplot by assigning 'top' and 'bottom' to the side attribute of the figure layout. The 2nd column from the right in figure below should show titles/ranges for series T5, T6, and T7 but only the title and range for T5 and T7 appear.</p>
<p>Is it possible to show more than 2 x-axes title/ranges on the same subplot in Plotly? <a href="https://stackoverflow.com/questions/751567/both-a-top-and-a-bottom-axis-in-pylab-e-g-w-different-units-or-left-and-rig">For an implemented example, Matplotlib supports showing multiple stacked axes</a></p>
<p><a href="https://i.stack.imgur.com/9llvO.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/9llvO.png" alt="enter image description here" /></a></p>
<p>Thank you to Vestland, the key was using the position attribute of the figure's layout and scaling the y-axis to fit the adjustment properly. See the [monstrosity] below for a full implementation of multiple axes based on Vestland's sample code.</p>
<p><a href="https://i.stack.imgur.com/UHIKv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/UHIKv.png" alt="enter image description here" /></a></p>


Plotly: How to show more than 2 x-axes titles/ranges on the same subplot?

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。

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我正在使用Plotly，用一个共享的y轴和不同的x轴制作散点图子图。我尝试使用图对象(图‘布局’)语法来显示多个堆叠的x轴及其各自的范围。我只成功地在每个子图中显示两个x轴和范围，将'top‘和’底部‘赋值给图形布局的侧属性。下图右边的第二列应该显示系列T5、T6和T7的标题/范围，但只有T5和T7的标题和范围出现。是...

问实际上:如何在同一子图上显示超过2个x轴标题/范围？
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