lifetimes

histogram.py

import seaborn as sns 

fig, ax = plt.subplots(figsize = (12, 7))
ax = sns.histplot(rfm_cal_holdout["value_10_pred"], 
                  kde=False, 
                  binwidth = 2)
ax.set_title(f'Customer value histogram')
ax.set_xlabel(r'Customer value estimate for 10 periods ($)')
ax.set_ylabel(r'Number of customers in each bin')
ax.set_xlim(-2,20)

plt.show()