擅长:python、mysql、java
<p>您可以使用<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html" rel="nofollow noreferrer">^{<cd1>}</a>:</p>
<pre><code>>>> [[k, *g] for k, g in df.groupby('left_side', sort=False)['right_side']]
[['0114600043776001 loan payment receipt',
'0421209017073500 loan payment receipt',
'0421209017073500 loan payment receipt'],
['vat onverve*issuance fee*506108',
'vat onverve*issuance fee*5061087',
'verve*issuance fee*506108*********1112'],
['verve*issuance fee*506108',
'verve*issuance fee*506108*********8296',
'vat onverve*issuance fee*506108**'],
['maint fee recovery jun 2018',
'vat maint fee recovery jun 2018',
'vat maint fee recovery jun 2018',
'vat maint fee recovery jun 2018']]
</code></pre>