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: |
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. |
See also
stack
vstack
hstack
concatenate
dsplit
Equivalent to np.concatenate(tup, axis=2)
.
>>> 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]]])
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https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.dstack.html