- jax.numpy.vstack(tup, dtype=None)#
Stack arrays in sequence vertically (row wise).
LAX-backend implementation of
Original docstring below.
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.
np.row_stackis an alias for vstack. They are the same function.
stacked – The array formed by stacking the given arrays, will be at least 2-D.
- Return type: