使用 NumPy 在Python中展平矩阵

让我们讨论如何在Python中使用 NumPy 展平矩阵。通过使用ndarray.flatten()函数，我们可以在Python中将矩阵展平为一维。

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

示例 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)

输出：

[2 3 4 5]

示例 2：

蟒蛇3

# 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()

输出：

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

示例 3：

蟒蛇3

# 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)

输出：

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