<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Jarod Chen</title>
    <description>The latest articles on DEV Community by Jarod Chen (@jarodchen).</description>
    <link>https://dev.to/jarodchen</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F417513%2F6b0a3155-1347-4e86-b4d9-f42e3ecc1b27.jpeg</url>
      <title>DEV Community: Jarod Chen</title>
      <link>https://dev.to/jarodchen</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/jarodchen"/>
    <language>en</language>
    <item>
      <title>How to read CSV file in Python?</title>
      <dc:creator>Jarod Chen</dc:creator>
      <pubDate>Sun, 28 Jun 2020 08:47:13 +0000</pubDate>
      <link>https://dev.to/jarodchen/how-to-read-csv-file-in-python-4lja</link>
      <guid>https://dev.to/jarodchen/how-to-read-csv-file-in-python-4lja</guid>
      <description>&lt;h1&gt;
  
  
  It's a simple way to read CSV file in Python.
&lt;/h1&gt;

&lt;h2&gt;
  
  
  1. Read csv
&lt;/h2&gt;

&lt;p&gt;filename: example.csv&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight"&gt;&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;csv&lt;/span&gt;
&lt;span class="k"&gt;with&lt;/span&gt; &lt;span class="nb"&gt;open&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s"&gt;'example.csv'&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;newline&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="s"&gt;''&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="n"&gt;csvfile&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;
  &lt;span class="n"&gt;rows&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;csv&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;reader&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;csvfile&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
  &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;row&lt;/span&gt; &lt;span class="ow"&gt;in&lt;/span&gt; &lt;span class="n"&gt;rows&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;
    &lt;span class="k"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;row&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;



&lt;h2&gt;
  
  
  2. Read csv in Dictionary
&lt;/h2&gt;

&lt;p&gt;If there are data of following format:&lt;br&gt;
Date ,Open, Close&lt;br&gt;
2020/01/01, 100, 200&lt;br&gt;
2020/01/02, 120, 200&lt;br&gt;
You can fetch specific column by csv.DictReader.&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight"&gt;&lt;pre class="highlight python"&gt;&lt;code&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;csv&lt;/span&gt;
&lt;span class="k"&gt;with&lt;/span&gt; &lt;span class="nb"&gt;open&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s"&gt;'example.csv'&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt; &lt;span class="n"&gt;newline&lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="s"&gt;''&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt; &lt;span class="k"&gt;as&lt;/span&gt; &lt;span class="n"&gt;csvfile&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;
  &lt;span class="n"&gt;rows&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="n"&gt;csv&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;DictReader&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;csvfile&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
  &lt;span class="k"&gt;for&lt;/span&gt; &lt;span class="n"&gt;row&lt;/span&gt; &lt;span class="ow"&gt;in&lt;/span&gt; &lt;span class="n"&gt;rows&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;
    &lt;span class="k"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="n"&gt;row&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s"&gt;'Date'&lt;/span&gt;&lt;span class="p"&gt;],&lt;/span&gt; &lt;span class="n"&gt;row&lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s"&gt;'Close'&lt;/span&gt;&lt;span class="p"&gt;])&lt;/span&gt;
&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;



</description>
      <category>python</category>
    </item>
  </channel>
</rss>
