numpy.vstack()

numpy.vstack(tup) [source]

Stack arrays in sequence vertically (row wise).

Take a sequence of arrays and stack them vertically to make a single array. Rebuild arrays divided by vsplit.

Parameters:

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

tup : sequence of ndarrays

Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis.

Returns:

stacked : ndarray

The array formed by stacking the given arrays.

Notes

Equivalent to np.concatenate(tup, axis=0) if tup contains arrays that are at least 2-dimensional.

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]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.vstack.html

doc_NumPy

2025-01-10 15:47:30

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