擅长:python、mysql、java
<p>对于就地解决方案,可以将<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.update.html" rel="noreferrer">^{<cd1>}</a>与<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pop.html" rel="noreferrer">^{<cd2>}</a>一起使用:</p>
<pre><code>df['feedback_id'].update(df.pop('_id'))
print(df)
feedback_id
0 568a8c25cac4991645c287ac
1 568df45b177e30c6487d3603
2 568df434832b090048f34974
3 568cd22e9e82dfc166d7dff1
4 568df3f0832b090048f34711
5 568e5a38b4a797c664143dda
</code></pre>