以 Fortran 顺序显示 Numpy 数组

Fortran order/array 是一种特殊情况，其中数组的所有元素都以列优先顺序存储。有时我们需要以 fortran 顺序显示数组，因为这个 numpy 有一个称为numpy.nditer()的函数。

Syntax: numpy.nditer(op, flags=None, op_flags=None, op_dtypes=None, order=’K’, casting=’safe’, op_axes=None, itershape=None, buffersize=0)

示例 1：

Python3

# importing Numpy package
import numpy as np
  
# creating a Numpy array
num_array = np.arange(12).reshape(3, 4)
  
print("Array:")
print(num_array)
  
# Display array in Fortran order
# using numpy.nditer()
print("\nElements of the array in Fortan array:")
for num_array in np.nditer(num_array, order="F"):
    print(num_array, end=' ')

输出：

Array:
[[ 0  1  2  3]
[ 4  5  6  7]
[ 8  9 10 11]]

Elements of the array in Fortan array:
0 4 8 1 5 9 2 6 10 3 7 11

示例 2：

蟒蛇3

# importing Numpy package 
import numpy as np
  
# creating a Numpy array
num_array = np.arange(12).reshape(2, 6)
      
print("Array:")
print(num_array)
  
# Display array in Fortran order 
# using numpy.nditer() 
print("\nElements of the array in Fortan array:")
for num_array in np.nditer(num_array, order="F"):
    print(num_array,end=' ')

输出：

Array:
[[ 0  1  2  3  4  5]
[ 6  7  8  9 10 11]]

Elements of the array in Fortan array:
0 6 1 7 2 8 3 9 4 10 5 11

示例 3：

蟒蛇3

# importing Numpy package 
import numpy as np
  
# creating a Numpy array
num_array = np.arange(42).reshape(6, 7)
      
print("Array:")
print(num_array)
  
# Display array in Fortran order 
# using numpy.nditer() 
print("\nElements of the array in Fortan array:")
for num_array in np.nditer(num_array, order="F"):
    print(num_array,end=' ')

输出：

Array:
[[ 0  1  2  3  4  5  6]
[ 7  8  9 10 11 12 13]
[14 15 16 17 18 19 20]
[21 22 23 24 25 26 27]
[28 29 30 31 32 33 34]
[35 36 37 38 39 40 41]]

Elements of the array in Fortan array:
0 7 14 21 28 35 1 8 15 22 29 36 2 9 16 23 30 37 3 10 17 24 31 38 4 11 18 25 32 39 5 12 19 26 33 40 6 13 20 27 34 41