A kernel density estimate plot, instead of being a pure empirical representation of the data by estimating the true distribution of the data which and smooths the data into a continuous plot. Kernel density estimation plots can be created by using the .plot() method and setting kind='kde'. The following code generates a normal distributed set of numbers, displays it as a histogram, and overlays the kde plot: