The Matplotlib plotting library is easy to use in several ways:

• Firstly, the object-oriented module structures simplify the plotting process. More often than not, we're only required to call import maplotlib.pyplot as plt to import the plotting API to create and customize many basic plots.
• Matplotlib is highly integrated with two common data analytics packages, pandas and NumPy. For example, we can simply append .plot() to a pandas DataFrame such as by df.plot() to create a simple plot, and customize its styling with Matplotlib syntax.
• For styling, Matplotlib offers functions to alter the appearance of each feature, and ready-made default style sheets are also available to avoid these extra steps when refined aesthetics is not required.