In [1]:
%matplotlib inline
Notice how the legend labels are defined with the plots!
In [2]:
import numpy as np import matplotlib.pyplot as plt # Make some fake data. a = b = np.arange(0, 3, .02) c = np.exp(a) d = c[::-1] # Create plots with pre-defined labels. fig, ax = plt.subplots() ax.plot(a, c, 'k--', label='Model length') ax.plot(a, d, 'k:', label='Data length') ax.plot(a, c + d, 'k', label='Total message length') legend = ax.legend(loc='upper center', shadow=True, fontsize='x-large') # Put a nicer background color on the legend. legend.get_frame().set_facecolor('#00FFCC') plt.show()