擅长:python、mysql、java
<p>您可以<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html" rel="nofollow noreferrer">^{<cd1>}</a>您的数据帧的索引和“type”列,然后在barh图中聚合以获得合理的分组输出。你知道吗</p>
<pre><code>df.groupby([df.index,'type'])['count'].sum().plot.barh(title='Counts')
</code></pre>
<p><a href="https://i.stack.imgur.com/pUtu4.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/pUtu4.png" alt="enter image description here"/></a></p>