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

And that’s how the numpy `tile()`

function works.