Percentage of a column in pandas python is carried out using sum() function in roundabout way. Certain stylings, including pseudo-selectors like :hover can only be used this way. This is a property that returns a Styler object, which has useful methods for formatting and displaying DataFrames. The styling is accomplished using CSS. In this article, we will focus on the same. For row and column slicing, any valid indexer to .loc will work. When used in an ETL, we generally don't format numbers on the screen, and styling our dataframes isn't that useful. Formatters can be stacked together as a list to produce desired layout. Overview Since version 0.17, Pandas provide support for the styling of the Dataframe. We’ll rewrite our highlight-max to handle either Series (from .apply(axis=0 or 1)) or DataFrames (from .apply(axis=None)). As a similar approach to the accepted answer that might be considered a bit more readable, elegant, and general (YMMV), you can leverage the map method: Performance-wise, this is pretty close (marginally slower) than the OP solution. This document is written as a Jupyter Notebook, and can be viewed or downloaded here.. You can apply conditional formatting, the visual styling of a DataFrame depending on the data within, by using the DataFrame.style property. Parameters formatter str, callable, dict or None. In this cheat sheet, we'll use the following shorthand: df | Any pandas DataFrame object s| Any pandas Series object As you scroll down, you'll see we've organized relat… Let’s write a simple style function that will color negative numbers red and positive numbers black. If your style function uses a subset or axis keyword argument, consider wrapping your function in a functools.partial, partialing out that keyword. Notice also that our function returned a string containing the CSS attribute and value, separated by a colon just like in a