Change the color of text within a pandas dataframe html table python using styles and css

Question

I have a pandas dataframe:

arrays = [[\'Midland\', \'Midland\', \'Hereford\', \'Hereford\', \'Hobbs\',\'Hobbs\', \'Childress\',
           \'Childress\', \'R         


        

Answer 1

This takes a few steps:

First import HTML and re

from IPython.display import HTML
import re

You can get at the html pandas puts out via the to_html method.

df_html = df.to_html()

Next we are going to generate a random identifier for the html table and style we are going to create.

random_id = 'id%d' % np.random.choice(np.arange(1000000))

Because we are going to insert some style, we need to be careful to specify that this style will only be for our table. Now let's insert this into the df_html

df_html = re.sub(r'<table', r'<table id=%s ' % random_id, df_html)

And create a style tag. This is really up to you. I just added some hover effect.

style = """
<style>
    table#{random_id} tr:hover {{background-color: #f5f5f5}}
</style>
""".format(random_id=random_id)

Finally, display it

HTML(style + df_html)

Function all in one.

def HTML_with_style(df, style=None, random_id=None):
    from IPython.display import HTML
    import numpy as np
    import re

    df_html = df.to_html()

    if random_id is None:
        random_id = 'id%d' % np.random.choice(np.arange(1000000))

    if style is None:
        style = """
        <style>
            table#{random_id} {{color: blue}}
        </style>
        """.format(random_id=random_id)
    else:
        new_style = []
        s = re.sub(r'</?style>', '', style).strip()
        for line in s.split('\n'):
                line = line.strip()
                if not re.match(r'^table', line):
                    line = re.sub(r'^', 'table ', line)
                new_style.append(line)
        new_style = ['<style>'] + new_style + ['</style>']

        style = re.sub(r'table(#\S+)?', 'table#%s' % random_id, '\n'.join(new_style))

    df_html = re.sub(r'<table', r'<table id=%s ' % random_id, df_html)

    return HTML(style + df_html)

Use it like this:

HTML_with_style(df.head())

HTML_with_style(df.head(), '<style>table {color: red}</style>')

style = """
<style>
    tr:nth-child(even) {color: green;}
    tr:nth-child(odd)  {color: aqua;}
</style>
"""
HTML_with_style(df.head(), style)

Learn CSS and go nuts!

Answer 2

Using pandas new styling functionality (since 0.17.1):

import numpy as np
import pandas as pd

arrays = [['Midland', 'Midland', 'Hereford', 'Hereford', 'Hobbs','Hobbs', 'Childress',
           'Childress', 'Reese', 'Reese', 'San Angelo', 'San Angelo'],
          ['WRF','MOS','WRF','MOS','WRF','MOS','WRF','MOS','WRF','MOS','WRF','MOS']]
tuples = list(zip(*arrays))
index = pd.MultiIndex.from_tuples(tuples)
df = pd.DataFrame(np.random.randn(12, 4), index=arrays,
                  columns=['00 UTC', '06 UTC', '12 UTC', '18 UTC'])


def highlight_MOS(s):
    is_mos = s.index.get_level_values(1) == 'MOS'
    return ['color: darkorange' if v else 'color: darkblue' for v in is_mos]

s = df.style.apply(highlight_MOS)
s