You can use the xlsxwriter engine from Pandas to apply a conditional format to data in an Excel worksheet. See this answer to Easiest way to create a color gradient on excel using python/pandas?. That may be close to what you want to do.
This tutorial explains how to apply conditional formatting to cells in a pandas DataFrame, including several examples. Using color palette for gradient fill in DataFrame: By importing the light palette of colors from the seaborn library, we can map the color gradient for the background of the data frame. Use Pandas Styler to Change Text and Background Color Usually, it's a good idea to highlight data points you want to draw attention to.
The convenient highlight_max() function assigns a yellow color to the largest value of every cell in a DataFrame: df.style.highlight_max() Image 6 - Highlighting max values (image by author) The highlight_min() function does just the opposite: df.style. Some examples on how to highlight and style cells in pandas dataframes when some criteria is met. Useful for analytics and presenting data.
Color Pandas DataFrame cells with conditional formatting in Python. Highlight cells in the Name column where the Age value exceeds the Num value using termcolor library. Learn the techniques for creating visually distinct dataframes.
Use Pandas Styler to Change Text and Background Color Generally speaking, it's a good idea to highlight the data points you want to emphasise. Pandas matches those up with the CSS classes that identify each cell. Let's write a simple style function that will color negative numbers red and positive numbers black.
Pandas is a popular data manipulation library in Python that provides powerful tools for data manipulation and analysis. One of the key features of Pandas is the ability to color cells in a DataFrame or Series based on their values. This feature is particularly useful when you need to highlight important information or visualize patterns in your data.
A short tutorial on how to set the colors on a pandas DataFrame. Photo by Robert Katzki on Unsplash Pandas needs no introduction as it became the de facto tool for Data Analysis in Python. As a Data Scientist, I use pandas daily and it never ceases to amaze me with better ways of achieving my goals.
Another useful feature that I learned recently is how to color a pandas Dataframe.