numpy.lib.stride_tricks

Utilities that manipulate strides to achieve desirable effects.

An explanation of strides can be found in the The N-dimensional array (ndarray).

Functions

as_strided(x[, shape, strides, subok, writeable])	Create a view into the array with the given shape and strides.
sliding_window_view(x, window_shape[, axis, ...])	Create a sliding window view into the array with the given window shape.