如何从非零元素的索引字典创建稀疏 numpy 数组？

Question

I have a dictionary of indices corresponding to nonzero numbers, and want to write a function that creates an sparse array with nonzero elements at the given indices, with zeros in between. Ex:

{(0,0):2, (1,1):3}

would output to the following numpy array

([[2,0], [0,3]])

What would be the simplest way to convert this dense dictionary into a sparse array?

Answer 1

This should work, the only thing you need, you should know the dimensions for your output.

import numpy as np

d = {(0,0):2, (1,1):3}

S = 2
table = np.zeros((S,S))

for k,v in d.items():
    if d[k]:
        table[ k[0],k[1] ] = v

print(table)