Python Pandas 数据框另存为 HTML 页面
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Python Pandas Data Frame save as HTML page
提问by Felix
I am trying to save defined in Python Pandas Data Frameas HTMLpage. In addition i would like to make this table saved as HTMLtable ability to be filtered by value of any column. Can you please provide possible solution? At the final this should be table saved as HTMLpage. I would like to incorporate this code in my Pythoncode. Thank you
我正在尝试将定义的保存Python Pandas Data Frame为HTML页面。此外，我想将此表另存为HTML可以按任何列的值过滤的表能力。你能提供可能的解决方案吗？最后，这应该是表格保存为HTML页面。我想将此代码合并到我的Python代码中。谢谢
采纳答案by Sait
You can use pandas.DataFrame.to_html().
您可以使用pandas.DataFrame.to_html().
Example:
例子：
>>> import numpy as np
>>> from pandas import *
>>> df = DataFrame({'foo1' : np.random.randn(2),
'foo2' : np.random.randn(2)})
>>> df.to_html('filename.html')
This will save the following html to filename.html.
这会将以下 html 保存到filename.html.
Output:
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>回答by Valery Ramusik
.to_html() also can be used to create html string
.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)
<table border="1" class="dataframe table table-striped">
<thead>
<tr style="text-align: right;">
<th></th>
<th>W</th>
<th>X</th>
<th>Y</th>
<th>Z</th>
</tr>
</thead>
<tbody>
<tr>
<th>A</th>
<td>0.302665</td>
<td>1.693723</td>
<td>-1.706086</td>
<td>-1.159119</td>
</tr>
<tr>
<th>B</th>
<td>-0.134841</td>
<td>0.390528</td>
<td>0.166905</td>
<td>0.184502</td>
</tr>
<tr>
<th>C</th>
<td>0.807706</td>
<td>0.072960</td>
<td>0.638787</td>
<td>0.329646</td>
</tr>
<tr>
<th>D</th>
<td>-0.497104</td>
<td>-0.754070</td>
<td>-0.943406</td>
<td>0.484752</td>
</tr>
<tr>
<th>E</th>
<td>-0.116773</td>
<td>1.901755</td>
<td>0.238127</td>
<td>1.996652</td>
</tr>
</tbody>
</table>回答by sparrow
Here is a way to write the pandas table without using to_html, also including an external stylesheet:
这是一种不使用 to_html 编写 pandas 表的方法，还包括一个外部样式表：
html_string_start = '''
<html>
<head><title>Report Title</title></head>
<link rel="stylesheet" type="text/css" href="mystyle.css"/>
<body>
'''
html_string_end = '''
</body>
</html>
'''
with open(r'c:\temp\myfile.html', 'w') as f:
f.write(html_string_start)
f.write('<table>')
for header in dataframe.columns.values:
f.write('<th>'+str(header)+'</th>')
for i in range(len(dataframe)):
f.write('<tr>')
for col in dataframe.columns:
value = dataframe.iloc[i][col]
f.write('<td>'+str(value)+'</td>')
f.write('</tr>')
f.write('</table>')
f.write(html_string_end)
