Versatile annotating

We will import everything we need to bring up the simple sine plot:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150

Adding arrows to our plots with the annotate method

The annotate method has a lot of arguments, as seen in the following code:

# Add an arrow
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))
plt.annotate("", xy=(np.pi/2, 1), xytext=(5,0), arrowprops=dict(facecolor='k'))

The first argument in the preceding code is an empty string that will be displayed. xy tells us where the data coordinates...