numpy.vstack() function with example in python

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numpy.vstack(): This function stack arrays in sequence vertically (row wise).

Syntax: numpy.vstack(tup)

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.

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.

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

import numpy as np x=np.array([1,2,3,4,5]) y= np.array([6,7,8,9,10]) z=np.vstack((x, y)) print(z)


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