Python Pandas数据框保存为HTML页面

Question

我试图将Python Pandas Data Frame中定义的保存为HTML页面.另外我想使这个表保存为HTML表能力,可以按任何列的值进行过滤.你能提供可能的解决方案吗？在最后,这应该是表保存为HTML页面.我想将此代码合并到我的Python代码中.谢谢

Answer 1

你可以用pandas.DataFrame.to_html().

例:

>>> import numpy as np
>>> from pandas import *
>>> df = DataFrame({'foo1' : np.random.randn(2),
                    'foo2' : np.random.randn(2)})
>>> df.to_html('filename.html')

这将保存以下html filename.html.

输出:

<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>foo1</th>
      <th>foo2</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>-0.223430</td>
      <td>-0.904465</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.317316</td>
      <td>1.321537</td>
    </tr>
  </tbody>
</table>

Answer 2

.to_html（）也可用于创建html字符串

import io
import pandas as pd
from numpy.random import randn

df = pd.DataFrame(
    randn(5, 4),
    index = 'A B C D E'.split(),
    columns = 'W X Y Z'.split()
)

str_io = io.StringIO()

df.to_html(buf=str_io, classes='table table-striped')

html_str = str_io.getvalue()

print(html_str)

import io
import pandas as pd
from numpy.random import randn

df = pd.DataFrame(
    randn(5, 4),
    index = 'A B C D E'.split(),
    columns = 'W X Y Z'.split()
)

str_io = io.StringIO()

df.to_html(buf=str_io, classes='table table-striped')

html_str = str_io.getvalue()

print(html_str)