Home Applying styling to Pandas dataframe saved to HTML file
Reply: 1

Applying styling to Pandas dataframe saved to HTML file

stackoverflowuser2010 Published in 2017-12-07 21:52:44Z

I have a Pandas dataframe inside of a Jupyter / IPython notebook. The dataframe's style as an HTML table inside of Jupyter is pretty nice. The header row has bold style, the font is nice, and the table borders are thin.

I then export the dataframe to an HTML file (following instructions here and here):


But the resulting HTML file's table styling is not good.

The HTML in that file is plain:

<table border="1" class="dataframe">
    <tr style="text-align: right;">

How do I modify the styling of this exported table directly from my Python / Pandas code?

stackoverflowuser2010 Reply to 2017-12-08 22:55:39Z

I wrote a Python function that basically adds an HTML <style> to the dataframe's HTML representation so that the resulting HTML table looks nice.

def write_to_html_file(df, title='', filename='out.html'):
    Write an entire dataframe to an HTML file with nice formatting.

    result = '''

    h2 {
        text-align: center;
        font-family: Helvetica, Arial, sans-serif;
    table { 
        margin-left: auto;
        margin-right: auto;
    table, th, td {
        border: 1px solid black;
        border-collapse: collapse;
    th, td {
        padding: 5px;
        text-align: center;
        font-family: Helvetica, Arial, sans-serif;
        font-size: 90%;
    table tbody tr:hover {
        background-color: #dddddd;
    .wide {
        width: 90%; 

    result += '<h2> %s </h2>\n' % title
    result += df.to_html(classes='wide', escape=False)
    result += '''
    with open(filename, 'w') as f:

Here's the resulting HTML when you write it to an .html file. Note how the dataframe's to_html() output fits into the middle.

Below is some example usage of my function. I first load up a dataset from sklearn to demonstrate.

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris

iris = load_iris()
data1 = pd.DataFrame(data=np.c_[iris['data'], iris['target']],
                     columns=iris['feature_names'] + ['target'])

In Jupyter / IPython Notebook, the table looks pretty nice:

I can write out the dataframe to an HTML file with the usual to_html() function like this:


However, the result doesn't look good, as shown below. The border is thick and font is not pleasant because this is just a <table> ... </table> with no styling.

To make the dataframe look better in HTML, I used my function above.

write_to_html_file(data1, 'Iris data set', 'iris2.html')

The table looks much nicer now because I applied styling. I also added row highlighting.

You need to login account before you can post.

About| Privacy statement| Terms of Service| Advertising| Contact us| Help| Sitemap|
Processed in 0.31263 second(s) , Gzip On .

© 2016 Powered by mzan.com design MATCHINFO