# Python | Numpy matrix.repeat ()

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Using the ` Numpy matrix.repeat () ` method, we can get a repeating value from a given matrix and output the result as a 1-D array .

Syntax: `matrix.repeat(count)`

Return: Return 1-D matrix with repeated values ​​

Example # 1:
In this example we see what we can get duplicate values ​​from a given matrix using the ` matrix.repeat () ` method.

 ` # import important module into python ` ` import ` ` numpy as np `   ` # make a matrix with NumPy ` ` gfg ` ` = ` ` np .matrix (` ` ’[64, 1; 12, 3] ’` `) ` ` `  ` # using the matrix.repeat () method ` ` geeks ` ` = ` ` gfg.repeat (` ` 2 ` `) `   ` print ` ` (geeks) `

Exit:

` [[64 64 1 1 12 12 3 3] ] `

Example # 2:

 ` # import important module into python ` ` import ` ` numpy as np `   ` # make a matrix with NumPy ` ` gfg ` ` = ` ` np.matrix (` `’ [1, 2, 3; 4, 5, 6; 7, 8, -9] ’` `) ` ` `  ` # using the matrix.repeat () method ` ` geeks ` ` = ` ` gfg.repeat (` ` 3 ` `) `   ` print ` ` (geeks) `

Exit:

` [[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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