jax.numpy.vstack¶
- jax.numpy.vstack(tup)[source]¶
Stack arrays in sequence vertically (row wise).
LAX-backend implementation of
vstack().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.
- 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