[英]Index Numpy array dimensions with tuple
I have a numpy array such as arr = np.arange(16).reshape(2,2,2,2)
我有一个 numpy 数组,例如
arr = np.arange(16).reshape(2,2,2,2)
I want to dynamically access arr[:, dim2, dim3]
, when I have (dim2, dim3)
as a tuple.当我将
(dim2, dim3)
作为元组时arr[:, dim2, dim3]
我想动态访问arr[:, dim2, dim3]
。 What is the best way to do this?做这个的最好方式是什么?
Try something like this if the number of dimensions might not be the same for your array:如果您的数组的维数可能不同,请尝试以下操作:
some_tuple = (dim2, dim3) # Could be (dim2, dim3, ..., dimN)
arr[(slice(None),) + some_tuple]
In this particular case, (slice(None),) + some_tuple
is the same as (slice(None), dim2, dim3)
.在这种特殊情况下,
(slice(None),) + some_tuple
与(slice(None), dim2, dim3)
。 slice(None)
is more or less equivalent to " :
", but it can be used in more places than " :
". slice(None)
或多或少等同于“ :
”,但它可以用在比“ :
”更多的地方。 Notice that I put slice(None)
in a single-element tuple (ie (slice(None),)
) so that I can add it to some_tuple
.请注意,我将
slice(None)
放在单元素元组中(即(slice(None),)
),以便我可以将其添加到some_tuple
。 Notice as well that there's a comma after slice(None)
, ie, I don't just write (slice(None))
without a comma.还要注意
slice(None)
之后有一个逗号,即,我不只是写(slice(None))
没有逗号。 It won't work without the extra comma.如果没有额外的逗号,它将无法工作。
some_tuple = (dim2, dim3) arr[:, some_tuple[0], some_tuple[1]]
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