擅长:python、mysql、java
<p>我认为可以使用<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.iat.html" rel="nofollow">^{<cd1>}</a>和<code>-1</code>what返回最后一个值,因为最后一个值最小-<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html" rel="nofollow">^{<cd3>}</a>排序<code>Serie</code>:</p>
<pre><code>dft_counts.iat[-1]
</code></pre>
<p>如果需要所有最小值,请使用<a href="http://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing" rel="nofollow">^{<cd5>}</a>:</p>
<pre><code>dft_counts = (s.value_counts())
print (dft_counts)
6 3
5 3
null 2
18 1
3 1
22 1
0 1
dtype: int64
print (dft_counts.iat[-1])
1
print (dft_counts[dft_counts == dft_counts.iat[-1]])
18 1
3 1
22 1
0 1
dtype: int64
</code></pre>
<hr/>
<p>或者在<code>value_counts</code>中使用参数<code>ascending=True</code>:</p>
<pre><code>dft_counts = (s.value_counts(ascending=True))
print (dft_counts)
0 1
22 1
3 1
18 1
null 2
5 3
6 3
dtype: int64
print (dft_counts[:3])
0 1
22 1
3 1
dtype: int64
</code></pre>