Flatten a Matrix in Python using NumPy
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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
# 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) |
Output:
[2 3 4 5]
Example 2:
python3
# 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() |
Output:
array([ 6, 9, 8, 5, 18, 21])
Example 3:
python3
# 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) |
Output:
[ 6, 9, 12, 8, 5, 2, 18, 21, 24]
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