擅长:python、mysql、java
<p>您还可以使用<code>axis=1</code>上的<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.nunique.html" rel="nofollow noreferrer">^{<cd1>}</a>来获取分割后的unqiue值的数量,如下所示:</p>
<pre><code>df['Group'] = np.where(df['Value'].str.split(r'/|\|', expand=True).nunique(axis=1).eq(1), 'G1', 'G2')
</code></pre>
<p><strong>结果:</strong></p>
<pre><code>print(df)
Name Value Group
0 AVY A/A G1
1 SCOT A|G G2
2 JYN GG|GG G1
3 MAZ G/GGGG G2
4 SAS G|GG G2
5 LEN AA/AA G1
6 PAUL TTT|TTT G1
</code></pre>