擅长:python、mysql、java
<p>我已经很接近了,找到了答案:</p>
<pre><code># This gives the suspect rows - rows of data where domain value is same as the list of credit_domain present in domain
x = df[df.domain.isin([x for x in df.credit_domain.tolist() if x in df.domain.tolist()])]
# Once I have the above, it was a simple matter of looking at those rows where domain != credit_domain
x[x.domain != x.credit_domain]
</code></pre>