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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]] 

Python | Numpy matrix.repeat () NumPy: Questions

Python | Numpy matrix.repeat () Python functions: Questions

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