# Python | Numpy matrix.fill()

With the help of `Numpy matrix.fill()` method, we are able to fill a `scalar value` in a given matrix and gives output as matrix having scalar values.

Syntax : `matrix.fill(value)`

Return : Return a matrix having scalar value

Example #1 :
In this example we can see that with the help of `matrix.fill()` method we are able to fill the given matrix with a scalar value.

 `# import the important module in python ` `import` `numpy as np ` `        `  `# make matrix with numpy ` `gfg ``=` `np.matrix(``'[6, 2, 3]'``) ` `        `  `# applying matrix.fill() method ` `gfg.fill(``0``) ` `  `  `print``(gfg) `

Output:

```[[0 0 0]]
```

Example #2 :

 `# import the important module in python ` `import` `numpy as np ` `        `  `# make a matrix with numpy ` `gfg ``=` `np.matrix(``'[1, 2, 3; 4, 5, 6]'``) ` `        `  `# applying matrix.fill() method ` `gfg.fill(``1``) ` `  `  `print``(gfg) `

Output:

```[[1 1 1]
[1 1 1]]
```

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