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 neveropen = gfg.repeat(2)     print(neveropen) |
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 neveropen = gfg.repeat(3)     print(neveropen) |
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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