编辑 HTML，插入 CSS 引用 [英] Edit HTML, inserting CSS reference
问题描述
可以从 CSV 文件创建 HTML 页面，如下所示:
It's possible to create HTML page from a CSV file, with the following:
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('../data.csv',delimiter=';', engine='python')
df.to_html('csv.html')
我想让 HTML 尊重 csv.css 中的一些 CSS.一种方法是手动编辑 csv.html head，插入:
I would like to make that HTML to respect some CSS present in csv.css. One way to get this is to manually edit csv.html head, inserting:
<head><link rel="stylesheet" type="text/css" href="csv.css"></head>
如何通过编程(使用 Python)而不是手动完成?
Instead of doing it manually, how one can get there programmatically (using Python)?
推荐答案
to_html 方法不会输出整个 HTML 文档.相反，它只创建一个 table 元素.
The to_html method does not output an entire HTML document. Instead, it just creates a single table element.
如果你想包含 CSS，你必须创建额外的 HTML 元素，并在写入数据之前自己插入它们.一种最简单的方法如下:
If you want to include CSS, you have to create additional HTML elements, and insert them yourself before writing the data. One of the simplest ways is as follows:
with open('test.html', 'w') as fobj:
fobj.write('<html><head><link rel="stylesheet" href="test.css"></head><body>')
df.to_html(fobj)
fobj.write('</body></html>')
to_html 的第一个参数必须是一个类似文件的对象:所以它可以是上面例子中的文件对象，也可以是 StringIO.
The first argument of to_html has to be a file-like object: so it can be either a file object as in the above example or a StringIO.
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