numpy.asfortranarray()在 Python
中
哎哎哎:# t0]https://www . geeksforgeeks . org/num py-asfortranarray-in-python/
numpy.asfortranarray() 函数用于当我们想要将输入转换为一个数组时，该数组在内存中以 Fortran 顺序排列。输入包括标量、列表、元组列表、元组、元组元组元组、列表元组和数组。
语法: numpy.asfortranarray(arr，dtype=none)
参数: arr:【array _ like】输入数据，以任何可以转换为浮点型数组的形式。这包括标量、列表、元组列表、元组、元组元组元组、列表元组和数组。 数据类型:默认情况下，数据类型是从输入数据中推断出来的。
返回:Fortran 中的输入 arr，或列主命令。
代码#1:列表到数组
# Python program explaining
# numpy.asfortranarray() function
import numpy as geek
my_list = [1, 3, 5, 7, 9]
print ("Input list : ", my_list)
out_arr = geek.asfortranarray(my_list)
print ("output fortanarray from input list : ", out_arr)
输出:
Input list : [1, 3, 5, 7, 9]
output fortanarray from input list : [1 3 5 7 9]
代码#2:福塔纳雷的元组
# Python program explaining
# numpy.asfortranarray() function
import numpy as geek
my_tuple = ([1, 3, 9], [8, 2, 6])
print ("Input tuple : ", my_tuple)
out_arr = geek.asfortranarray(my_tuple, dtype ='int8')
print ("output fortan array from input tuple : ", out_arr)
输出:
Input tuple : ([1, 3, 9], [8, 2, 6])
output fortan array from input touple : [[1 3 9]
[8 2 6]]
代码#3:福塔纳雷的标量
# Python program explaining
# numpy.asfortranarray() function
import numpy as geek
my_scalar = 15
print ("Input scalar : ", my_scalar)
out_arr = geek.asfortranarray(my_scalar, dtype ='float')
print ("output fortan array from input scalar : ", out_arr)
输出:
Input scalar : 15
output fortan array from input scalar : [ 15.]
代码#4:阵列到福塔纳雷
# Python program explaining
# numpy.asfortranarray() function
import numpy as geek
in_arr = geek.arange(9).reshape(3, 3)
print ("Input array : ", in_arr)
# checking if it is fortanarray
print(in_arr.flags['F_CONTIGUOUS'])
out_arr = geek.asfortranarray(in_arr, dtype ='float')
print ("output array from input array : ", out_arr)
# checking if it has become fortanarray
print(out_arr.flags['F_CONTIGUOUS'])
输出:
Input array : [[0 1 2]
[3 4 5]
[6 7 8]]
False
output array from input array : [[ 0\. 1\. 2.]
[ 3\. 4\. 5.]
[ 6\. 7\. 8.]]
True
