<p>当我将此应用于我自己的绘图时,我发现以下几点很有用:</p>
<ul>
<li>我更喜欢使用<code>fig.suptitle(title)</code>而不是<code>plt.suptitle(title)</code>的一致性</li>
<li>当使用<code>fig.tight_layout()</code>时,标题必须用<code>fig.subplots_adjust(top=0.88)</code>移位</li>
<li>关于字体大小,请参见答案<a href="https://stackoverflow.com/a/28132929/4013571">below</a></li>
</ul>
<p>示例代码取自matplotlib文档中的<a href="http://matplotlib.org/examples/pylab_examples/subplots_demo.html" rel="noreferrer">subplots demo</a>,并使用主标题进行调整。</p>
<p><a href="https://i.stack.imgur.com/l4yMp.png" rel="noreferrer"><img src="https://i.stack.imgur.com/l4yMp.png" alt="A nice 4x4 plot"/></a></p>
<pre><code>import matplotlib.pyplot as plt
import numpy as np
# Simple data to display in various forms
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)
fig, axarr = plt.subplots(2, 2)
fig.suptitle("This Main Title is Nicely Formatted", fontsize=16)
axarr[0, 0].plot(x, y)
axarr[0, 0].set_title('Axis [0,0] Subtitle')
axarr[0, 1].scatter(x, y)
axarr[0, 1].set_title('Axis [0,1] Subtitle')
axarr[1, 0].plot(x, y ** 2)
axarr[1, 0].set_title('Axis [1,0] Subtitle')
axarr[1, 1].scatter(x, y ** 2)
axarr[1, 1].set_title('Axis [1,1] Subtitle')
# # Fine-tune figure; hide x ticks for top plots and y ticks for right plots
plt.setp([a.get_xticklabels() for a in axarr[0, :]], visible=False)
plt.setp([a.get_yticklabels() for a in axarr[:, 1]], visible=False)
# Tight layout often produces nice results
# but requires the title to be spaced accordingly
fig.tight_layout()
fig.subplots_adjust(top=0.88)
plt.show()
</code></pre>