如何使用最近邻算法在Python中将数组输出[0]转换为[0,0,0]?

import numpy as np
from sklearn.neighbors import NearestNeighbors

X = np.array([[28273, 20866, 29961, 27190, 31790, 19714, 8643, 14482, 5384],
[12343, 45634, 29961, 27130, 33790, 14714, 7633, 15483, 4484]])

knn = NearestNeighbors(algorithm='auto', leaf_size=30, n_neighbors=5, p=2, 
radius=1.0, warn_on_equidistant=True).fit(X)

distance, indices = knn.kneighbors(X[0])
print(indices)

当脚本成功运行时,我也得到了一个输出- [[0 1]] (或类似的东西)
array([[0, 1]]) 或 [[0, 1]]
我已经试过了 print(', '.join(indices))
print(', '.join(indices)) TypeError: sequence item 0: expected string, numpy.ndarray found

提前感谢您的帮助:)