Let's discuss how to flatten a Matrix using NumPy in Python. By usingndarray.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
Example 1:
python3# importing numpy as npimportnumpyasnp# declare matrix with npgfg=np.array([[2,3],[4,5]])# using array.flatten() methodflat_gfg=gfg.flatten()print(flat_gfg)
Output:
[2 3 4 5]
Example 2:
python3# importing numpy as npimportnumpyasnp# declare matrix with npgfg=np.array([[6,9],[8,5],[18,21]])# using array.flatten() methodgfg.flatten()
Output:
array([ 6, 9, 8, 5, 18, 21])
Example 3:
python3# importing numpy as npimportnumpyasnp# declare matrix with npgfg=np.array([[6,9,12],[8,5,2],[18,21,24]])# using array.flatten() methodflat_gfg=gfg.flatten(order='A')print(flat_gfg)
Output:
[ 6, 9, 12, 8, 5, 2, 18, 21, 24]