python - How to get numpy sub-array view when array ndim is not known until runtime? -

i have python numpy n-dimensional array shape m x n x ... x t, not know number of dimensions (rank) of array until runtime.

how can create view of sub-array of array, specified 2 vectors length rank: extent , offset? import numpy np

def select_subrange( orig_array, subrange_extent_vector, subrange_offset_vector ):     """     returns view of orig_array offset entries in subrange_offset_vector     , extent specified entries in subrange_extent_vector.     """     # ???      return subarray 

i'm stuck because slicing examples have found require [ start:end, ... ] entries each array dimension.

if understand right, use

orig_array[[slice(o, o+e) o, e in zip(offset, extent)]] 

example:

>>> x = np.arange(4**4).reshape((4, 4, 4, 4)) >>> x[0:2, 1:2, 2:3, 1:3] array([[[[25, 26]]],          [[[89, 90]]]]) >>> offset = (0, 1, 2, 1) >>> extent = (2, 1, 1, 2) >>> x[[slice(o, o+e) o, e in zip(offset, extent)]] array([[[[25, 26]]],          [[[89, 90]]]])