# numpy matrix operations | repmat() function

`numpy.matlib.repmat()` is another function for doing matrix operations in numpy. It returns Repeat a 0-D, 1-D or 2-D array or matrix M x N times.

Syntax : numpy.matlib.repmat(a, m, n)

Parameters :
a : [array_like] The input array or matrix which to be repeated.
m, n : [int] The number of times a is repeated along the first and second axes.

Return : [ndarray] repeating array.

Code #1 :

 `# Python program explaining ` `# numpy.matlib.repmat() function ` ` `  `# importing numpy and matrix library ` `import` `numpy as geek ` `import` `numpy.matlib ` ` `  `# creating input array using   ` `# array function  ` `in_arr ``=` `geek.array([[``1``, ``0``, ``2``], [``3``, ``4``, ``5``]]) ` `print``(``"Input array"``, in_arr)  ` ` `  `# making a new array  ` `# using repmat() function  ` `out_mat ``=` `geek.matlib.repmat(in_arr, ``2``, ``3``)  ` `print` `(``"Output repeated matrix : "``, out_mat)  `

Output :

```Input array [[1 0 2]
[3 4 5]]
Output repeated matrix :  [[1 0 2 1 0 2 1 0 2]
[3 4 5 3 4 5 3 4 5]
[1 0 2 1 0 2 1 0 2]
[3 4 5 3 4 5 3 4 5]]
```

Code #2 :

 `# Python program explaining ` `# numpy.matlib.repmat() function ` ` `  `# importing numpy and matrix library ` `import` `numpy as geek ` `import` `numpy.matlib ` ` `  `# creating input array using   ` `# arange function  ` `in_arr ``=` `geek.arange(``3``) ` `print``(``"Input array"``, in_arr)  ` ` `  `# making a new array  ` `# using repmat() function  ` `out_mat ``=` `geek.matlib.repmat(in_arr, ``2``, ``2``)  ` `print` `(``"Output repeated matrix : "``, out_mat)  `

Output :

```Input array [0 1 2]
Output repeated matrix :  [[0 1 2 0 1 2]
[0 1 2 0 1 2]]
```

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