擅长:python、mysql、java
<p>下一个解决方案是:</p>
<pre><code>df.where(df == df.min()).dropna()
</code></pre>
<p>并且<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.idxmin.html" rel="nofollow">^{<cd1>}</a>只返回一个值,因为:</p>
<blockquote>
<p>This method is the DataFrame version of ndarray.argmin.</p>
</blockquote>
<p>并且<a href="http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ndarray.argmin.html" rel="nofollow">^{<cd2>}</a>在<a href="http://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argmin.html#numpy.argmin" rel="nofollow">doc</a>中解释这种情况:</p>
<blockquote>
<p>In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are returned.</p>
</blockquote>