mxnet.np.vstack¶
-
vstack
(arrays, out=None)¶ Stack 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 and stack provide more general stacking and concatenation operations.
- Parameters
tup (sequence of ndarrays) – The arrays must have the same shape along all but the first axis. 1-D arrays must have the same length.
- Returns
stacked – The array formed by stacking the given arrays, will be at least 2-D.
- Return type
ndarray
Examples
>>> a = np.array([1, 2, 3]) >>> b = np.array([2, 3, 4]) >>> np.vstack((a, b)) array([[1., 2., 3.], [2., 3., 4.]])
>>> a = np.array([[1], [2], [3]]) >>> b = np.array([[2], [3], [4]]) >>> np.vstack((a, b)) array([[1.], [2.], [3.], [2.], [3.], [4.]])
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