pandas allow for a wide variety of operations to be performed on DataFrames, making it easier to handle structured data. Another intriguing property of DataFrames is that they allow us to format and style regular rows and columns in tabular data. These styling properties help enhance the readability of tabular data. The Dataframe.style method returns a Styler object. Any formatting to be applied before displaying a DataFrame can be applied over this Styler object. Styling can be done either with in-built functions that have predefined rules for formatting or with user-defined rules.

Let's consider the following DataFrames so that we can take a look at pandas' styling properties:

  df = pd.read_csv("titanic.csv")
  df

The following screenshot shows the preceding DataFrame loaded into Jupyter Notebook:

Let's see how Jupyter Notebook elements can be styled.