擅长:python、mysql、java
<P>可以考虑使用{{CD1>},其中要处理</p>的^ {< CD2>}信息
<pre><code>import pandas as pd
d={'t1':[2,3,1,4,5],
't2':[5,4,3,2,1],
'other1':[1,9,9,8,7],
'other2':[3,3,4,5,6]}
df=pd.DataFrame(d)
print(df)
</code></pre>
<p><a href="https://i.stack.imgur.com/GLqzu.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/GLqzu.png" alt="enter image description here"/></a></p>
<pre><code>target_columns=['t1','t2']
for one_column in target_columns:
df[one_column]=df[one_column].map(lambda x:x*100000)
print(df)
</code></pre>
<p><a href="https://i.stack.imgur.com/XslxN.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/XslxN.png" alt="enter image description here"/></a></p>