矩阵反向生成

import numpy as np

import pandas as pd
recommond_matrix=np.zeros((3,4))
headers=['用户','食物','评分']
df_rate=pd.read_csv('rate.csv',sep='s',names=headers)
print(df_rate)

print('************************************************')
for item in df_rate.itertuples():
    recommond_matrix[item[1]-1][item[2]-1]=item[3]

print(recommond_matrix)

import numpy as np

import pandas as pd
recommond_matrix=np.zeros((3,4))
headers=['用户','食物','评分']
df_rate=pd.read_csv('rate.csv',sep='s',names=headers)
print(df_rate)

print('************************************************')
for item in df_rate.itertuples():
    recommond_matrix[item[1]-1][item[2]-1]=item[3]

print(recommond_matrix)