擅长:python、mysql、java
<p>既不使用<code>pandas</code>也不使用<code>csv</code>的解决方案:</p>
<pre class="lang-py prettyprint-override"><code>lines = open('file.csv', 'r').read().splitlines()[1:]
col0 = [v.split(';')[0] for v in lines]
uniques = filter(lambda x: col0.count(x) == 1, col0)
</code></pre>
<p>或者,使用<code>map</code>(但可读性较差):</p>
<pre class="lang-py prettyprint-override"><code>col0 = list(map(lambda line: line.split(';')[0], open('file.csv', 'r').read().splitlines()[1:]))
uniques = filter(lambda x: col0.count(x) == 1, col0)
</code></pre>