擅长:python、mysql、java
<pre><code>d = {
',': '',
'\(([\d,]+)\)': r'-\1',
'n.a': 'nan',
'^-$': 'nan',
}
df.replace(d, regex=True).astype(float)
column1 column2 column3 column4
0 6546.0 54325432.0 -443326.0 -32000.0
1 4554.0 432885.0 -88974.0 77332.0
2 NaN NaN 5332.0 NaN
</code></pre>
<hr/>
<p>如果您只想解决<code>(stuff)</code>问题</p>
^{pr2}$