numpy.concatenate([arr1, arr2]) # Joining arr1 and arr2

>>> a = np.array([[1, 2], [3, 4]])<br /> >>> b = np.array([[5, 6]])<br /> >>> np.concatenate((a, b), axis=0)<br /> array([[1, 2],<br /> [3, 4],<br /> [5, 6]])<br /> >>> np.concatenate((a, b.T), axis=1)<br /> array([[1, 2, 5],<br /> [3, 4, 6]])<br />

import numpy as np</p> <p>a = np.array([[0, 1, 3], [5, 7, 9]])<br /> b = np.array([[0, 2, 4], [6, 8, 10]])<br /> c = np.concatenate((a, b), axis=0)<br /> print(c)</p> <p>Output :<br /> [[ 0 1 3]<br /> [ 5 7 9]<br /> [ 0 2 4]<br /> [ 6 8 10]]

<br /> a = np.array([1, 2, 3, 4])<br /> b = np.array([5, 6, 7, 8])<br /> np.concatenate((a, b))<br />

#concatenating through column(axis = 1)<br /> numpy.concatenate((N,M),1)