Pandas provides the DataFrame data structure commonly used in handling multivariate data. When we usually use the Pandas package for data I/O, storage, and preprocessing, it also provides a number of native integrations with Matplotlib for quick visualization. 

To create these plots, we can call df.plot(kind=plot_type), df.plot.scatter(), and so on. Here is a list of available plot types:

• line: Line plot (default)
• bar: Vertical bar plot
• barh: Horizontal bar plot
• hist: Histogram
• box: Boxplot
• kde: Kernel Density Estimation (KDE) plot
• density: The same as kde
• area: Area plot
• pie: Pie plot

We have created some of the simpler graphs in the previous chapters. Here, we will take the density plot as an example for discussion.