4 Plot a histogram of edit sizes
8 import matplotlib.pyplot as plt
9 import load_hp_data as hp
11 plt.style.use('ggplot')
13 fig, ax = plt.subplots(1)
14 ax.hist(hp.columns['size'], bins=1000)
15 ax.set_xlabel('Size of the edit')
17 ax.set_title('Edit size distribution')
19 # Maybe don't really need that axis to be so long:
20 # ax.set_xlim([0, 200000])