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 pythonimport numpy as np          # make matrix with numpygfg = np.matrix('[64, 1; 12, 3]')          # applying matrix.repeat() methodgeeks = gfg.repeat(2)    print(geeks)
Output:
[[64 64  1  1 12 12  3  3]]

Example #2 :

 # import the important module in pythonimport numpy as np          # make a matrix with numpygfg = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, -9]')          # applying matrix.repeat() methodgeeks = 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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