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Flatten a Matrix in Python using NumPy
  • Last Updated : 29 Aug, 2020

Let’s discuss how to flatten a Matrix using NumPy in Python. By using ndarray.flatten() function we can flatten a matrix to one dimension in python.

Syntax:numpy_array.flatten(order=’C’)

  • order:‘C’ means to flatten in row-major.’F’ means to flatten in column-major.’A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise.’K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.

Return:Flattened 1-D matrix

array.flatten()

Example 1:



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# importing numpy as np
import numpy as np
  
# declare matrix with np
gfg = np.array([[2, 3], [4, 5]])
  
# using array.flatten() method
flat_gfg = gfg.flatten()
print(flat_gfg)

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Output:

[2 3 4 5]

Example 2:

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# importing numpy as np
import numpy as np
  
# declare matrix with np
gfg = np.array([[6, 9], [8, 5], [18, 21]])
  
# using array.flatten() method
gfg.flatten()

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Output:

array([ 6,  9,  8,  5, 18, 21])

Example 3:

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# importing numpy as np
import numpy as np
  
# declare matrix with np
gfg = np.array([[6, 9, 12], [8, 5, 2], [18, 21, 24]])
  
# using array.flatten() method
flat_gfg = gfg.flatten(order='A')
print(flat_gfg)

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Output:

[ 6,  9, 12,  8,  5,  2, 18, 21, 24]

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