Mastering matplotlib

Setting up the interactive backend

As mentioned above, our notebooks will all start with the following, as does this preview notebook:

In [1]: import matplotlib
        matplotlib.use('nbagg')
        %matplotlib inline
In [2]: import matplotlib.pyplot as plt
        import seaborn as sns
        import numpy as np
        from scipy import stats
        import pandas as pd

These commands do the following:

• Set up the interactive backend for plotting
• Allow us to evaluate images in-line, as opposed doing the same in a pop-up window
• Provide the standard alias to the matplotlib.pyplot sub package and import other packages that we will need

Joint plots with Seaborn

Our first preview example will take a look at the Seaborn package, an open source third-party library for data visualization and attractive ...