Flatten a Matrix in Python using NumPy (original) (raw)
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
Example 1:
python3
import numpy as np
gfg = np.array([[ 2 , 3 ], [ 4 , 5 ]])
flat_gfg = gfg.flatten()
print (flat_gfg)
Output:
[2 3 4 5]
Example 2:
python3
import numpy as np
gfg = np.array([[ 6 , 9 ], [ 8 , 5 ], [ 18 , 21 ]])
gfg.flatten()
Output:
array([ 6, 9, 8, 5, 18, 21])
Example 3:
python3
import numpy as np
gfg = np.array([[ 6 , 9 , 12 ], [ 8 , 5 , 2 ], [ 18 , 21 , 24 ]])
flat_gfg = gfg.flatten(order = 'A' )
print (flat_gfg)
Output:
[ 6, 9, 12, 8, 5, 2, 18, 21, 24]