Numerical Computing with Python

Interactive backend for Jupyter Notebook 

Before we conclude this section, we are going to introduce two more interactive backends that are rarely covered by books. Starting with Matplotlib 1.4, there is an interactive backend specifically designed for Jupyter Notebook. To invoke that, we simply need to paste %matplotlib notebook at the start of our notebook. We are going to adapt one of the earlier examples in this chapter to use this backend:

# Import the interactive backend for Jupyter notebook%matplotlib notebookimport matplotlibimport matplotlib.pyplot as pltimport textwrapfig, ax = plt.subplots(figsize=(6,7))ind = range(df.shape[0])rects = ax.barh(ind, df["Median usual weekly earnings ($)"], height=0.5)ax.set_xlabel('Median weekly earnings ...