nlcpy.vstack

Stacks arrays in sequence vertically (row wise).

This is equivalent to concatenation along the first axis after 1-D arrays of shape (N,) have been reshaped to (1,N). Rebuilds arrays divided by vsplit. 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

tupsequence of array_like: The arrays must have the same shape along all but the first axis. 1-D arrays must have the same length.

Returns

stackedndarray: The array formed by stacking the given arrays, will be at least 2-D.

参考

stack: Joins a sequence of arrays along a new axis.
hstack: Stacks arrays in sequence horizontally (column wise).
concatenate: Joins a sequence of arrays along an existing axis.

Examples

>>> import nlcpy as vp
>>> a = vp.array([1, 2, 3])
>>> b = vp.array([2, 3, 4])
>>> vp.vstack((a,b))
array([[1, 2, 3],
       [2, 3, 4]])
>>> a = vp.array([[1], [2], [3]])
>>> b = vp.array([[2], [3], [4]])
>>> vp.vstack((a,b))
array([[1],
       [2],
       [3],
       [2],
       [3],
       [4]])