擅长:python、mysql、java
<p>您可以使用列表理解循环遍历所有列并关闭xaxis的可见性。</p>
<pre><code>df = pd.DataFrame(np.random.randn(1000, 2)) * 1e6
sns.pairplot(df)
</code></pre>
<p><a href="https://i.stack.imgur.com/TyUBM.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/TyUBM.png" alt="enter image description here"/></a></p>
<pre><code>plot = sns.pairplot(df)
[plot.axes[len(df.columns) - 1][col].xaxis.set_visible(False)
for col in range(len(df.columns))]
plt.show()
</code></pre>
<p><a href="https://i.stack.imgur.com/KMFUr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/KMFUr.png" alt="enter image description here"/></a></p>
<p>您还可以将数据重新缩放为更可读的内容:</p>
<pre><code>df /= 1e6
sns.pairplot(df)
</code></pre>
<p><a href="https://i.stack.imgur.com/KVoUj.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/KVoUj.png" alt="enter image description here"/></a></p>