Example 1: np.tile
a = np.array([0, 1, 2])
np.tile(a, 2)
#output ([0, 1, 2, 0, 1, 2])
np.tile(a, (2, 2))
#output ([[0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 2]])
np.tile(a, (2, 1, 2))
#output ([[[0, 1, 2, 0, 1, 2]], [[0, 1, 2, 0, 1, 2]]])
b = np.array([[1, 2], [3, 4]])
np.tile(b, 2)
#output ([[1, 2, 1, 2], [3, 4, 3, 4]])
np.tile(b, (2, 1))
#output ([[1, 2], [3, 4], [1, 2], [3, 4]])
Example 2: repeat array numpy
>>> np.repeat(3, 4)
array([3, 3, 3, 3])
>>> x = np.array([[1,2],[3,4]])
>>> np.repeat(x, 2)
array([1, 1, 2, 2, 3, 3, 4, 4])
>>> np.repeat(x, 3, axis=1)
array([[1, 1, 1, 2, 2, 2],
[3, 3, 3, 4, 4, 4]])
>>> np.repeat(x, [1, 2], axis=0)
array([[1, 2],
[3, 4],
[3, 4]])
Example 3: np.tile
>>> a = np.array([0, 1, 2])
>>> np.tile(a, 2)
array([0, 1, 2, 0, 1, 2])
>>> np.tile(a, (2, 2))
array([[0, 1, 2, 0, 1, 2],
[0, 1, 2, 0, 1, 2]])
>>> np.tile(a, (2, 1, 2))
array([[[0, 1, 2, 0, 1, 2]],
[[0, 1, 2, 0, 1, 2]]])