The numpy tile function explained with code examples

Posted on Apr 06, 2022

Learn how you can use the numpy tile function to construct an array copy with repetitions

The numpy.tile() function allows you to create a copy of an array where the array’s elements are repeated along each axis.

The syntax of the function is as follows:

numpy.tile(array, reps)

The function accepts two arguments:

  • The array you want to copy
  • The reps number of repetitions you want the array elements to have.

Consider the following code example:

import numpy

array = [1, 2, 3]

# Set reps to 1
array_reps = numpy.tile(array, 1)

print(array_reps) # array([1, 2, 3])

# Change the reps to 2
array_reps = numpy.tile(array, 2)
print(array_reps) # array([1, 2, 3, 1, 2, 3])

The reps parameter of the tile() function accepts array-like numbers that will be used to repeat the elements of the array for each axis.

You can pass two numbers as the reps argument as shown below:

array_reps = numpy.tile(array, (2, 2))

# array([[1, 2, 3, 1, 2, 3],
#        [1, 2, 3, 1, 2, 3]])

You can even pass three numbers to make a three-dimensional array of frames, rows, and columns:

array_reps = numpy.tile(array, (2, 1, 1))

array([[[1, 2, 3]],

       [[1, 2, 3]]])

And that’s how the numpy tile() function works.

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