To access the interactive navigation toolbar in a Jupyter Notebook, first call the Jupyter cell magic:

%matplotlib notebook

We will demonstrate with a plot with a more dynamic shape:

import numpy as np
import matplotlib.pyplot as plt

y = np.linspace(1,2000)
x = 1.0/np.sin(y)

plt.plot(x,y,'green')
plt.xlim(-20,20)
plt.ylim(1000,2400)

plt.show()

As shown in the illustration, here we have a Christmas-tree-shaped plot embedded within a GUI box:

You can find a tool bar in the bottom-left corner. The button functions from left to right are as follows:

• Home logo: Reset original view
• Left arrow: Back to previous view
• Right arrow: Forward to next view
• Four-direction arrow: Pan by holding down the left mouse key; zoom with the right arrow key on the screen
• Rectangle: Zoom by dragging rectangle on the plot
• Floppy disk icon: Download the plot

Here is an example of panning by dragging on the plot:

The following illustration shows the result of zooming by dragging a rectangle over the plot:

To revert to inline output mode, use the cell magic %matplotlib inline, or click on the power button in the top-right corner.