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numpy.ma.dstack(tup) =
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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
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stack
- Join a sequence of arrays along a new axis.
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vstack
- Stack along first axis.
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hstack
- Stack along second axis.
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concatenate
- Join a sequence of arrays along an existing axis.
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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]]])
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numpy.ma.dstack()
2017-01-10 18:15:14
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