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- import reading as rd
- import numpy as np
- import pandas as pd
- import time
- semana3= rd.get_train(3)
- semana4 = rd.get_train(4)
- semana5 = rd.get_train(5)
- train = semana3.append(semana4)
- train = train.append(semana5)
- del semana3
- del semana4
- del semana5
- semana6 = rd.get_train(6)
- semana7 = rd.get_train(7)
- semana8 = rd.get_train(8)
- train = train.append(semana6)
- del semana6
- semana9 = rd.get_train(9)
- train =train.append(semana7)
- del semana7
- train =train.append(semana8)
- del semana8
- train = train.append(semana9)
- del semana9
- #ovde go imame train
- product_client = train[['Producto_ID','Cliente_ID','Demanda_uni_equil']]
- del train
- product_client = product_client.groupby(['Producto_ID','Cliente_ID']).median()
- product_client = product_client.reset_index()
- print "Ovde 1"
- test = rd.get_test()
- print "OVde 2"
- test = test[['id','Producto_ID','Cliente_ID']]
- izlez = pd.merge(left=test,right=product_client,how='left',on=['Producto_ID','Cliente_ID'])
- izlez = izlez.fillna('3')
- print test
- izlez.to_csv('out.csv')
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