In Seaborn, displot is a function that allows you to create a figure that combines several different types of plots to visualize the distribution of a dataset. It is a flexible function that can create a variety of plots, including histograms, kernel density estimates (KDE), rug plots, and others.
The displot function takes a dataset and a number of parameters to customize the plot. The most important parameter is the kind parameter, which specifies the type of plot to create. For example, setting kind=’hist’ creates a histogram, while setting kind=’kde’ creates a KDE plot.
The displot function also allows you to customize the appearance of the plot using a variety of parameters, such as hue and col, which allow you to create faceted plots to compare distributions across different variables.
displot is a powerful function in Seaborn that provides a flexible and customizable way to visualize the distribution of a dataset using a variety of different plots.