numpy.hstack () function with example in python
numpy.hstack: This function Stack arrays in sequence horizontally (column wise).
syntax: numpy.hstack(tup)
This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit.
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 second axis, except 1-D arrays which can be any length.
Returns:
stacked : ndarray
The array formed by stacking the given arrays.
import numpy as np
x=np.array([1,2,3,4,5])
y= np.array([6,7,8,9,10])
z=np.hstack((x, y))
print(z)
