numpy.ma.dstack — NumPy v1.13 Manual (original) (raw)
numpy.ma. dstack(tup) = <numpy.ma.extras._fromnxfunction_seq instance>¶
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.
This function continues to be supported for backward compatibility, but you should prefer
np.concatenateornp.stack. Thenp.stackfunction was added in NumPy 1.10.
| 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
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.
dsplit
Split array along third axis.
Notes
The function is applied to both the _data and the _mask, if any.
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]]])