numpy.ma.vstack¶

numpy.ma.vstack(tup) = <numpy.ma.extras._fromnxfunction_seq instance>¶

Stack arrays in sequence vertically (row wise).

Take a sequence of arrays and stack them vertically to make a singlearray. Rebuild arrays divided byvsplit.

This function continues to be supported for backward compatibility, butyou should prefernp.concatenate ornp.stack. Thenp.stackfunction was added in NumPy 1.10.

Parameters:	tup : sequence of ndarrays Tuple containing arrays to be stacked. The arrays must have the sameshape along all but the first axis.
Returns:	stacked : ndarray The array formed by stacking the given arrays.

See also

stack

Join a sequence of arrays along a new axis.

hstack

Stack arrays in sequence horizontally (column wise).

dstack

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

concatenate

Join a sequence of arrays along an existing axis.

vsplit

Split array into a list of multiple sub-arrays vertically.

block

Assemble arrays from blocks.

Notes

The function is applied to both the _data and the _mask, if any.

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]])