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HomeWeb Front-endCSS TutorialHow to Change Cell Colors in a Pandas DataFrame HTML Table Using Styles and CSS?

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>
  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>
  3. Display the Stylized Table:

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

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

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

The above is the detailed content of How to Change Cell Colors in a Pandas DataFrame HTML Table Using Styles and CSS?. For more information, please follow other related articles on the PHP Chinese website!

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