擅长:python、mysql、java
<p>您只需进行常规计算,最小列由<code>idxmin</code>给出</p>
<pre><code># find the mins in each row
mins = df.min(axis=1)
# compute mean of the other values
other_means = (df.sum(1) - mins).div(df.shape[1]-1)
(mins /other_means)*100
</code></pre>
<p>输出:</p>
<pre><code>0 33.333333
1 40.449438
2 36.363636
dtype: float64
</code></pre>