`numpy.ma.extras:dstack`

source: build-install/usr/lib/python3.14/site-packages/numpy/lib/_shape_base_impl.py :673

Signature

def dstack ( tup )

Summary

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

Extended Summary

This is equivalent to concatenation along the third axis after 2-D arrays of shape (M,N) have been reshaped to (M,N,1) and 1-D arrays of shape (N,) have been reshaped to (1,N,1). Rebuilds arrays divided by dsplit.

This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.

Parameters

tup : sequence of arrays: The arrays must have the same shape along all but the third axis. 1-D or 2-D arrays must have the same shape.

Returns

stacked : ndarray: The array formed by stacking the given arrays, will be at least 3-D.

Notes

The function is applied to both the _data and the _mask, if any.

Examples

import numpy as np
a = np.array((1,2,3))
b = np.array((4,5,6))
np.dstack((a,b))

✓

a = np.array([[1],[2],[3]])
b = np.array([[4],[5],[6]])

✓

np.dstack((a,b))

✗

Aliases

numpy.ma.dstack