Density plots are a useful way to visualize the distribution of a dataset. They are similar to histograms but use a continuous curve to represent the data distribution. In Python, you can create density plots using various libraries such as Matplotlib, Seaborn, and SciPy.

Using Seaborn's kdeplot() Function

The easiest way to create a density plot in Matplotlib is by using the kdeplot() function from the Seaborn library. Here is a basic example:

You can adjust the smoothness of the density plot using the bw_method argument. Lower values make the plot more "wiggly," while higher values make it smoother: