![]() Thus changing an element in it will affect the original, and may change overlapping values. The step from one row to the next is 2 elements of the original, or 2*4 bytes.Īs_strided produces a view. The 1d striding, or stepping from one element to the next, is 4 bytes (the length one element). Choosing the strides requires more knowledge about striding. ![]() I increased the range of A because I didn't want to deal with the 0 pad.Ĭhoosing the target shape is easy, 5 sets of 3. Here is an advanced solution using as_strided In : ast=np.lib.index_tricks.as_strided # shorthand Here my window size is 3., i.e each splitted list should have 3 elements first split and the step size is 2, So the second split start should start from 3rd element and 2nd split is respectively. ![]() Working from the example and the comment: We can blame this on poor question wording, but it is not a duplicate. How do you split a list into evenly sized chunks? has some good list answers, with various forms of generator or list comprehension, but at first glance I didn't see any that allow for overlaps - though with a clever use of iterators (such as iterator.tee) that should be possible. The example (added after the close?) overlaps, one element across each subarray. ![]() The 'duplicate' Partition array into N chunks with Numpy suggests np.split - that's fine for non-overlapping splits. ![]()
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