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, stack and block provide more general stacking and concatenation operations.

np.row_stack is an alias for vstack. They are the same function.

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

If provided, the destination array will have this dtype. Cannot be provided together with out.

Controls what kind of data casting may occur. Defaults to ‘same_kind’.

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

See also

Join a sequence of arrays along an existing axis.

Join a sequence of arrays along a new axis.

Assemble an nd-array from nested lists of blocks.

Stack arrays in sequence horizontally (column wise).

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

Stack 1-D arrays as columns into a 2-D array.

Split an array into multiple sub-arrays vertically (row-wise).

Examples