擅长:python、mysql、java
<p>为此,您可以使用Python标准库中包含的<code>csv</code>库。在</p>
<p>具体来说,<a href="https://docs.python.org/3.6/library/csv.html#csv.DictReader" rel="nofollow noreferrer">csv.DictReader()</a>和{a2}</p>
<p><strong><code>csv.DictReader()</code>示例:</strong></p>
<pre><code>import csv
with open('places.csv', newline='') as f:
reader = csv.DictReader(f, fieldnames=["place", "longitude", "latitude"])
places = [row for row in reader]
for row in places:
# your code here
</code></pre>
<p><strong><code>csv.writer()</code>示例:</strong></p>
^{pr2}$
<hr/>
<p>此外,还可以使用<a href="https://docs.python.org/3/library/urllib.parse.html#urllib.parse.urlencode" rel="nofollow noreferrer">urllib.parse.urlencode()</a>从参数和值的dict自动生成参数字符串。在</p>