plt.bar(range(len(dic1)), list(dic1.values()), color='#4682B4', width=0.4)
plt.bar([i + 0.4 for i in range(len(dic2))],
list(dic2.values()),
color='#D2691E',
width=0.4)
plt.legend()
plt.show()
if __name__ == "__main__":
outbound_filename = "outbound.xlsx"
initinv_filename = "init_inventory.xlsx"
plan = Plan(outbound_filename, initinv_filename)
price = plan.price
dict_code2name = plan.code_name
monthly_demand_all = plan.get_monthly_demand()[0]
isInt = plan.isInt
sS_record = dict()
ori = OriginalPlan(outbound_filename, initinv_filename)
for code, monthly_demand in monthly_demand_all.items():
kde = KDE(code, monthly_demand)
# print(code, ori.get_service_level(code, kde.pdf))
# fig, ax = plt.subplots(2)
# print(dict_code2name[code]+":")
# pdf = kde.pdf
# x_p = np.linspace(np.min(kde.demand), np.max(kde.demand), 300)
# y_p = [pdf.subs(x, x_i) for x_i in x_p]
# ax[0].plot(x_p, y_p)
# kde.plot()
# print(kde.estimate.score(kde.demand))
