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.
