我有一个大小为a
的numpy数组5x5x4x5x5
。我还有另一个大小为b
的矩阵5x5
。我想将a[i,j,b[i,j]]
的{{1}}从0变为4,将i
的{{1}}从0变为4。这将给我一个j
矩阵。有没有办法只使用两个5x5x1x5x5
循环吗?
答案 0 :(得分:1)
让我们将矩阵a
视为大小为(= 5 x 5 x 4)
的100个(5, 5)
矩阵。因此,如果您可以获得每个三元组的衬里索引-(i, j, b[i, j])
-您就完成了。这就是np.ravel_multi_index
出现的地方。以下是代码。
import numpy as np
import itertools
# create some matrices
a = np.random.randint(0, 10, (5, 5, 4, 5, 5))
b = np.random(0, 4, (5, 5))
# creating all possible triplets - (ind1, ind2, ind3)
inds = list(itertools.product(range(5), range(5)))
(ind1, ind2), ind3 = zip(*inds), b.flatten()
allInds = np.array([ind1, ind2, ind3])
linearInds = np.ravel_multi_index(allInds, (5,5,4))
# reshaping the input array
a_reshaped = np.reshape(a, (100, 5, 5))
# selecting the appropriate indices
res1 = a_reshaped[linearInds, :, :]
# reshaping back into desired shape
res1 = np.reshape(res1, (5, 5, 1, 5, 5))
# verifying with the brute force method
res2 = np.empty((5, 5, 1, 5, 5))
for i in range(5):
for j in range(5):
res2[i, j, 0] = a[i, j, b[i, j], :, :]
print np.all(res1 == res2) # should print True
答案 1 :(得分:0)
有np.take_along_axis
正是出于这个目的-
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