numpy.vstack(tup)
[source]
Stack arrays in sequence vertically (row wise).
This is equivalent to concatenation along the first axis after 1D 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 pixeldata 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: 


Returns: 

See also
stack
hstack
dstack
concatenate
vsplit
block
>>> 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]])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.vstack.html