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.
tup : sequence of arrays
Arrays to stack. All of them must have the same shape along all but the third axis.
stacked : ndarray
The array formed by stacking the given arrays.
- Join a sequence of arrays along a new axis.
- Stack along first axis.
- Stack along second axis.
- Join a sequence of arrays along an existing axis.
- Split array along third axis.
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([,,]) >>> b = np.array([,,]) >>> np.dstack((a,b)) array([[[1, 2]], [[2, 3]], [[3, 4]]])