How to Change Cell Colors in a Pandas DataFrame HTML Table Using Styles and CSS?

Changing Cell Colors in a Pandas DataFrame HTML Table Using Styles and CSS

Question:

How can we customize the appearance of a pandas DataFrame HTML table by selectively coloring specific cells and headers?

Solution:

Utilizing pandas' new styling functionality, we can apply custom CSS rules to individual cells based on their row and column indices. To demonstrate:

1. Highlight MOS Rows:

   Create a helper function that returns CSS styling based on whether the row corresponds to the 'MOS' header:

   <code class="python">import pandas as pd
   
   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]</code>

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2. Apply CSS Styling:

   Apply the styling function to the DataFrame using the apply() method:

   <code class="python">s = df.style.apply(highlight_MOS)</code>

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3. Display the Stylized Table:

   The modified DataFrame will display the table with MOS rows highlighted in orange:

   <code class="python">s</code>

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Additional Customization:

This method allows further customization of the table's appearance through CSS. To change header and background colors, use the following properties in the CSS rules:

• background-color
• color

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