+"""
+004-plot-histogram.py
+
+Plot a histogram of edit sizes
+
+"""
+
+import matplotlib.pyplot as plt
+import load_hp_data as hp
+
+plt.style.use('ggplot')
+
+fig, ax = plt.subplots(1)
+ax.hist(hp.columns['size'], bins=1000)
+ax.set_xlabel('Size of the edit')
+ax.set_ylabel('')
+ax.set_title('Edit size distribution')
+
+# Maybe don't really need that axis to be so long:
+# ax.set_xlim([0, 200000])
+
+plt.show()