blocks|key|221775|text|使用填充pad|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|221776|为了相对于子图移动颜色条，可以使用fig.colorbar的pad参数。|221777|import+matplotlib.pyplot+as+plt
import+numpy+as+np;+np.random.seed(1)

fig,+ax+=+plt.subplots(figsize=(4,4))
im+=+ax.imshow(np.random.rand(11,16))
ax.set_xlabel("x+label")

fig.colorbar(im,+orientation="horizontal",+pad=0.2)
plt.show()|code-block|syntax|javascript|221778|​|221779|📷|atomic|221780|221781|使用轴分隔符|221782|可以使用make_axes_locatable的实例来划分轴，并创建与图像绘图完全对齐的新轴。同样，pad参数将允许设置两个轴之间的间距。|221783|import+matplotlib.pyplot+as+plt
from+mpl_toolkits.axes_grid1+import+make_axes_locatable
import+numpy+as+np;+np.random.seed(1)

fig,+ax+=+plt.subplots(figsize=(4,4))
im+=+ax.imshow(np.random.rand(11,16))
ax.set_xlabel("x+label")

divider+=+make_axes_locatable(ax)
cax+=+divider.new_vertical(size="5%25",+pad=0.7,+pack_start=True)
fig.add_axes(cax)
fig.colorbar(im,+cax=cax,+orientation="horizontal")

plt.show()|221784|221785|221786|221787|使用子图|221788|用户可以直接创建两行子图，一行用于图像，另一行用于颜色条。然后，在图形创建中将height_ratios设置为gridspec_kw={"height_ratios":[1,+0.05]}，使其中一个子图的高度比另一个小得多，并且这个小的子图可以托管颜色条。|221789|import+matplotlib.pyplot+as+plt
import+numpy+as+np;+np.random.seed(1)

fig,+(ax,+cax)+=+plt.subplots(nrows=2,figsize=(4,4),+
++++++++++++++++++gridspec_kw={"height_ratios":[1,+0.05]})
im+=+ax.imshow(np.random.rand(11,16))
ax.set_xlabel("x+label")

fig.colorbar(im,+cax=cax,+orientation="horizontal")

plt.show()|221790|221791|221792|221793|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/a30b290565846c104a4555cf1b7fb6d0.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/aa278f820b801c5cbf35aad8f6a97809.png|2|https://ask.qcloudimg.com/http-save/yehe-900000/7387b698ec2ecd615a31fd49da57f4fb.png^0|4|3|0|H|C|U|3|0|0|0|0|1|0|0|0|0|4|J|1E|3|0|0|0|0|1|1|0|0|0|13|D|1J|13|0|0|0|0|1|2|0|0^^$0|@$1|2|3|4|5|6|7|1N|8|@$9|1O|A|1P|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1Q|8|@$9|1R|A|1S|B|C]|$9|1T|A|1U|B|C]]|D|@]|E|$]]|$1|H|3|I|5|J|7|1V|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|1W|8|@]|D|@]|E|$]]|$1|O|3|P|5|Q|7|1X|8|@]|D|@$9|1Y|A|1Z|1|20]]|E|$]]|$1|R|3|N|5|6|7|21|8|@]|D|@]|E|$]]|$1|S|3|T|5|6|7|22|8|@]|D|@]|E|$]]|$1|U|3|V|5|6|7|23|8|@$9|24|A|25|B|C]|$9|26|A|27|B|C]]|D|@]|E|$]]|$1|W|3|X|5|J|7|28|8|@]|D|@]|E|$K|L]]|$1|Y|3|N|5|6|7|29|8|@]|D|@]|E|$]]|$1|Z|3|P|5|Q|7|2A|8|@]|D|@$9|2B|A|2C|1|2D]]|E|$]]|$1|10|3|N|5|6|7|2E|8|@]|D|@]|E|$]]|$1|11|3|12|5|6|7|2F|8|@]|D|@]|E|$]]|$1|13|3|14|5|6|7|2G|8|@$9|2H|A|2I|B|C]|$9|2J|A|2K|B|C]]|D|@]|E|$]]|$1|15|3|16|5|J|7|2L|8|@]|D|@]|E|$K|L]]|$1|17|3|N|5|6|7|2M|8|@]|D|@]|E|$]]|$1|18|3|P|5|Q|7|2N|8|@]|D|@$9|2O|A|2P|1|2Q]]|E|$]]|$1|19|3|N|5|6|7|2R|8|@]|D|@]|E|$]]|$1|1A|3|-4|5|6|7|2S|8|@]|D|@]|E|$]]]|1B|$1C|$5|1D|1E|1F|E|$1G|1H|1I|-4]]|1J|$5|1D|1E|1F|E|$1G|1K|1I|-4]]|1L|$5|1D|1E|1F|E|$1G|1M|1I|-4]]]]

<h3>using padding <code>pad</code></h3>
<p>In order to move the colorbar relative to the subplot, one may use the <code>pad</code> argument to <code>fig.colorbar</code>.</p>
<pre><code>import matplotlib.pyplot as plt
import numpy as np; np.random.seed(1)

fig, ax = plt.subplots(figsize=(4,4))
im = ax.imshow(np.random.rand(11,16))
ax.set_xlabel(&quot;x label&quot;)

fig.colorbar(im, orientation=&quot;horizontal&quot;, pad=0.2)
plt.show()
</code></pre>
<p><a href="https://i.stack.imgur.com/Ne4Me.png" rel="noreferrer"><img src="https://i.stack.imgur.com/Ne4Me.png" alt="enter image description here" /></a></p>
<h3>using an axes divider</h3>
<p>One can use an instance of <code>make_axes_locatable</code> to divide the axes and create a new axes which is perfectly aligned to the image plot. Again, the <code>pad</code> argument would allow to set the space between the two axes.</p>
<pre><code>import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import numpy as np; np.random.seed(1)

fig, ax = plt.subplots(figsize=(4,4))
im = ax.imshow(np.random.rand(11,16))
ax.set_xlabel(&quot;x label&quot;)

divider = make_axes_locatable(ax)
cax = divider.new_vertical(size=&quot;5%&quot;, pad=0.7, pack_start=True)
fig.add_axes(cax)
fig.colorbar(im, cax=cax, orientation=&quot;horizontal&quot;)

plt.show()
</code></pre>
<p><a href="https://i.stack.imgur.com/5kQWJ.png" rel="noreferrer"><img src="https://i.stack.imgur.com/5kQWJ.png" alt="enter image description here" /></a></p>
<h3>using subplots</h3>
<p>One can directly create two rows of subplots, one for the image and one for the colorbar. Then, setting the <code>height_ratios</code> as <code>gridspec_kw={&quot;height_ratios&quot;:[1, 0.05]}</code> in the figure creation, makes one of the subplots much smaller in height than the other and this small subplot can host the colorbar.</p>
<pre><code>import matplotlib.pyplot as plt
import numpy as np; np.random.seed(1)

fig, (ax, cax) = plt.subplots(nrows=2,figsize=(4,4), 
                  gridspec_kw={&quot;height_ratios&quot;:[1, 0.05]})
im = ax.imshow(np.random.rand(11,16))
ax.set_xlabel(&quot;x label&quot;)

fig.colorbar(im, cax=cax, orientation=&quot;horizontal&quot;)

plt.show()
</code></pre>
<p><a href="https://i.stack.imgur.com/HLJbz.png" rel="noreferrer"><img src="https://i.stack.imgur.com/HLJbz.png" alt="enter image description here" /></a></p>


<p>I have a matplotlib plot with a colorbar attached. I want to position the colorbar so that it is horizontal, and underneath my plot.</p>

<p>I have almost done this via the following:</p>

<pre><code>plt.colorbar(orientation="horizontal",fraction=0.07,anchor=(1.0,0.0))
</code></pre>

<p>But the colorbar is still overlapping with the plot slightly (and the labels of the x axis). I want to move the colorbar further down, but I can't figure out how to do it.</p>


Positioning the colorbar

我有一个matplotlib图和一个附加的颜色条。我想要放置颜色条，使它是水平的，并且在我的绘图下面。我几乎已经通过以下方式做到了这一点：plt.colorbar(orientation="horizontal",fraction=0.07,anchor=(1.0,0.0))但颜色栏仍然与绘图略有重叠(以及x轴的标签)...

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