# Python | Numpy matrix.repeat()

• Last Updated : 15 Apr, 2019

With the help of `Numpy matrix.repeat()` method, we can get the repeated value from given matrix and gives output as 1-D array.

Syntax : `matrix.repeat(count)`

Return : Return 1-D matrix with repeated values

Example #1 :
In this example we can see that we are able to get the repeated values from a given matrix with the help of method `matrix.repeat()`.

 `# import the important module in python``import` `numpy as np``         ` `# make matrix with numpy``gfg ``=` `np.matrix(``'[64, 1; 12, 3]'``)``         ` `# applying matrix.repeat() method``geeks ``=` `gfg.repeat(``2``)``   ` `print``(geeks)`
Output:
```[[64 64  1  1 12 12  3  3]]
```

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; 7, 8, -9]'``)``         ` `# applying matrix.repeat() method``geeks ``=` `gfg.repeat(``3``)``   ` `print``(geeks)`
Output:
```[[ 1  1  1  2  2  2  3  3  3  4  4  4  5  5  5  6  6  6  7  7  7  8  8  8
-9 -9 -9]]
```

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