擅长:python、mysql、java
<p>我想你可以用<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.nlargest.html" rel="nofollow noreferrer">^{<cd1>}</a>:</p>
<pre><code>print (df.loc['Dog'].nlargest(2))
Cat 2
Zebra 1
Name: Dog, dtype: int64
print (df.loc['Dog'].nlargest(2).index)
Index(['Cat', 'Zebra'], dtype='object')
</code></pre>
<p>如果需要<code>DataFrame</code>的所有值,请使用<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.argsort.html" rel="nofollow noreferrer">^{<cd3>}</a>:</p>
^{pr2}$
<p>或者<code>apply</code>:</p>
<pre><code>print (df.apply(lambda x: pd.Series(x.nlargest(2).index, index=['first','second']), axis=1))
first second
Cat Zebra Dog
Dog Cat Zebra
Zebra Cat Dog
</code></pre>