# numpy matrix operations | ones() function

`numpy.matlib.ones()` is another function for doing matrix operations in numpy. It returns a matrix of given shape and type, filled with ones.

Syntax : numpy.matlib.ones(shape, dtype=None, order=’C’)

Parameters :
shape : [int, int] Number of rows and columns in the output matrix.If shape has length one i.e. (N, ), or is a scalar N, out becomes a single row matrix of shape (1, N).
dtype : [optional] Desired output data-type.
order : Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.

Return : Matrix of ones of given shape, dtype, and order.

Code #1 :

 `# Python program explaining ` `# numpy.matlib.ones() function ` ` `  `# importing matrix library from numpy ` `import` `numpy as geek ` `import` `numpy.matlib ` ` `  `# desired 3 x 4 output matrix  ` `out_mat ``=` `geek.matlib.ones((``3``, ``4``))  ` `print` `(``"Output matrix : "``, out_mat)  `

Output :

```Output matrix :  Output matrix :  [[ 1.  1.  1.  1.]
[ 1.  1.  1.  1.]
[ 1.  1.  1.  1.]]
```

Code #2 :

 `# Python program explaining ` `# numpy.matlib.ones() function ` ` `  `# importing numpy and matrix library ` `import` `numpy as geek ` `import` `numpy.matlib ` ` `  `# desired 1 x 5 output matrix  ` `out_mat ``=` `geek.matlib.ones(shape ``=` `5``, dtype ``=` `int``)  ` `print` `(``"Output matrix : "``, out_mat)  `

Output :

```Output matrix :  [[1 1 1 1 1]]
```
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