# Create a Numpy array filled with all ones

In this article, we will learn how to create a Numpy array filled with all one, given the shape and type of array.

We can use Numpy.ones() method to do this task. This method takes three parameters, discussed below –

```shape : integer or sequence of integers
order  : C_contiguous or F_contiguous
C-contiguous order in memory(last index varies the fastest)
C order means that operating row-rise on the array will be slightly quicker
FORTRAN-contiguous order in memory (first index varies the fastest).
F order means that column-wise operations will be faster.
dtype : [optional, float(byDeafult)] Data type of returned array.
```

Code #1:

 `# Python Program to create array with all ones ` `import` `numpy as geek  ` ` `  `a ``=` `geek.ones(``3``, dtype ``=` `int``)  ` `print``(``"Matrix a : \n"``, a)  ` ` `  `b ``=` `geek.ones([``3``, ``3``], dtype ``=` `int``)  ` `print``(``"\nMatrix b : \n"``, b)  `

Output:

```Matrix a :
[1 1 1]

Matrix b :
[[1 1 1]
[1 1 1]
[1 1 1]]

```

Code #2:

 `# Python Program to create array with all ones ` `import` `numpy as geek  ` ` `  `c ``=` `geek.ones([``5``, ``3``])  ` `print``(``"\nMatrix c : \n"``, c)  ` ` `  `d ``=` `geek.ones([``5``, ``2``], dtype ``=` `float``)  ` `print``(``"\nMatrix d : \n"``, d)  `

Output:

```Matrix c :
[[ 1.  1.  1.]
[ 1.  1.  1.]
[ 1.  1.  1.]
[ 1.  1.  1.]
[ 1.  1.  1.]]

Matrix d :
[[ 1.  1.]
[ 1.  1.]
[ 1.  1.]
[ 1.  1.]
[ 1.  1.]]

```

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