擅长:python、mysql、java
<p>首先,使用文件打开器进行解析的最简单方法是<a href="https://www.pythonforbeginners.com/files/reading-and-writing-files-in-python" rel="nofollow noreferrer">with</a>:</p>
<pre><code>with open(filename, 'r') as fileobj:
</code></pre>
<p>接下来,Python有一个<a href="https://code.tutsplus.com/tutorials/how-to-read-and-write-csv-files-in-python cms-29907" rel="nofollow noreferrer">csv (called csv)</a>的本机库:</p>
<p>因此,要把它放在一起(改编自上面的链接和<a href="https://stackoverflow.com/a/11310549/1449249">mgilson</a>):</p>
^{pr2}$
<p>旁注:如果你发现你经常这样做,我可以建议你<a href="https://pandas.pydata.org/" rel="nofollow noreferrer">pandas</a>?它将简化过程,并且可以处理大量数据。在</p>
<hr/>