Python创建一个空的稀疏矩阵(Python create an empty sparse matrix)

 我试图将一些真实数据解析成一个.mat对象，以便在我的matlab脚本中加载。 
 
 我得到这个错误： 
 
 
 
 TypeError：'coo_matrix'对象不支持项目分配 
 
 
 我找到了coo_matrix 。 但是，我无法为其分配值。 
 
 data.txt中 
 
10 45
11 12 
4 1
 
 我想得到一个大小为100x100的稀疏矩阵。 并指定1 
 
Mat(10, 45) = 1
Mat(11, 12) = 1
Mat(4, 1) = 1
 
 
 码 
 
import numpy as np
from scipy.sparse import coo_matrix

def pdata(pathToFile):
    M = coo_matrix(100, 100)
    with open(pathToFile) as f:
        for line in f:
            s = line.split()
            x, y = [int(v) for v in s]
            M[x, y] = 1     
    return M

if __name__ == "__main__":
    M = pdata('small.txt')  
 
 有什么建议吗？ 

I am trying to parse some real data into a .mat object to be loaded in my matlab script.
 
I am getting this error:
 
 
 
TypeError: 'coo_matrix' object does not support item assignment
 
 
I found coo_matrix. However, I am not able to assign values to it.
 
data.txt
 
10 45
11 12 
4 1
 
I would like to get a sparse matrix of size 100x100. And to assign 1's to
 
Mat(10, 45) = 1
Mat(11, 12) = 1
Mat(4, 1) = 1
 
 
CODE
 
import numpy as np
from scipy.sparse import coo_matrix

def pdata(pathToFile):
    M = coo_matrix(100, 100)
    with open(pathToFile) as f:
        for line in f:
            s = line.split()
            x, y = [int(v) for v in s]
            M[x, y] = 1     
    return M

if __name__ == "__main__":
    M = pdata('small.txt')  
 
Any suggestions please ?

原文：https://stackoverflow.com/questions/45547924