numpy.dstack()

numpy.dstack(tup) [source]

Stack arrays in sequence depth wise (along third axis).

Takes a sequence of arrays and stack them along the third axis to make a single array. Rebuilds arrays divided by dsplit. This is a simple way to stack 2D arrays (images) into a single 3D array for processing.

Parameters:

Parameters:	tup : sequence of arrays Arrays to stack. All of them must have the same shape along all but the third axis.
Returns:	stacked : ndarray The array formed by stacking the given arrays.

tup : sequence of arrays

Arrays to stack. All of them must have the same shape along all but the third axis.

Returns:

stacked : ndarray

The array formed by stacking the given arrays.

Notes

Equivalent to np.concatenate(tup, axis=2).

Examples

>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.dstack((a,b))
array([[[1, 2],
        [2, 3],
        [3, 4]]])

>>> a = np.array([[1],[2],[3]])
>>> b = np.array([[2],[3],[4]])
>>> np.dstack((a,b))
array([[[1, 2]],
       [[2, 3]],
       [[3, 4]]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.dstack.html

doc_NumPy

2025-01-10 15:47:30

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