擅长:python、mysql、java
<p>这里有一个选项:</p>
<pre><code>In [39]: def groupby(key):
....: result = data.groupby(key).agg({'like': lambda v: ','.join(v)})
....: result.index.name = 'group'
....: result.columns = [key]
....: return result
....:
In [40]: pd.concat((groupby(key) for key in ['max_interest', 'min_interest']), axis=1)
Out[40]:
max_interest min_interest
group
0 NaN football,swimming
2 football,swimming basketball,soccer,softball,volleyball,cheerlea...
4 basketball,soccer,softball,volleyball,cheerlea... NaN
</code></pre>