Hands-On Data Analysis with Pandas

Plotting with pandas

Both Series and DataFrame objects have a plot() method that allows us to create several different plots and control some aspects of their formatting, such as subplot layout, figure size, titles, and whether to share an axis across subplots. This makes plotting our data much more convenient, as the bulk of the work to create presentable plots is achieved with a single method call. Under the hood, pandas is making several calls to matplotlib to produce our plot.

Some of the frequently used arguments to the plot() method include:

Parameter	Purpose	Type
kind	Determines the plot type	String
x/y	Column(s) to plot on the x-axis and the y-axis	String or list
ax	Draws the plot on the Axes object provided	Axes
subplots ...