python - how can I extract multiple random sub-sequences from a numpy array

Question

say I have a sequence s and I'd like to select n random sub sequences from it each with length l and store in a matrix. Is there a more numpy way of doing that than

s = np.arange(0, 1000)
n = 5
l = 10
i = np.random.randint(0, len(s)-10, 5)
ss = np.array([s[x:x+l] for x in i])

Answer 1

We can leverage np.lib.stride_tricks.as_strided based scikit-image's view_as_windows for efficient patch extraction, like so -

from skimage.util.shape import view_as_windows

# Get sliding windows (these are simply views)
w = view_as_windows(s, l)

# Index with indices, i for desired output
out = w[i]

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