擅长:python、mysql、java
<p>您可以使用<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.aggregate.html" rel="nofollow noreferrer">pandas.Series.aggregate</a>:</p>
<pre><code>df.groupby('Sector')['Raised_By'].agg({'Total_Number_of_Times_Raised':'count','Number_unique_Raised_By':'nunique','Unique_Raised_By':'unique'}).reset_index()
</code></pre>
<hr/>
<p>输出:</p>
<pre><code> Sector Total_Number_of_Times_Raised Number_unique_Raised_By Unique_Raised_By
0 A 4 2 [Xavi, Messi]
1 B 3 2 [Ramos, Ronaldo]
2 C 5 3 [Beckham, Oven, Ronaldo]
</code></pre>
<p>注:
您可以在结尾使用或不使用<code>reset_index</code></p>