numpy.vstack() function with example in python
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.
Parameters:
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.
Returns:
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)
