I found a very similar question to mine, but not exactly the same.
This one: here
However in ntimes's case the size of the array matches the number of the dimensions the tuple is point at.
In my case I have a 4-dimensional array and a 2-dimensional tuple, just like this:
from numpy.random import rand
big_array=rand(3,3,4,5)
tup=(2,2)
I want to use the tuple as an index to the first two dimensions, and manually index the last two. Something like:
big_array[tup,3,2]
However, I obtain a repetition of the first dimension with index=2, along the fourth dimension( since it technically hasn't been indexed). That is because this indexing is interpreting a double indexing to the first dimension instead of one value for each dimension,
eg.
| dim 0:(index 2 AND index 2) , dim 1:(index 3), dim 2:(index 2), dim 3:(no index)|
instead of
|dim 0(index 2), dim 1(index 2), dim 2:(index 3), dim 3:(index 2)|.
How can I 'unpack' this tuple then? Any ideas?
thanks!
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