numpy.asfortranarray () in Python

numpy.asfortranarray() is used when we want to convert the input to an array that is in Fortran order in memory. Input data includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.

Syntax: numpy.asfortranarray (arr, dtype = None)

Parameters:
arr: [array_like] Input data, in any form that can be converted to an float type array. This includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
dtype: By default, the data-type is inferred from the input data.

Return: The input arr in Fortran, or column-major, order.

Code # 1: List in Fortranarray

# 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) 

Output:

 Input list: [1, 3, 5 , 7, 9] output fortanarray from input list: [1 3 5 7 9] 

Code # 2: tuple to fortanarra

# 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) 

Output:

 Input tuple: ([1, 3, 9], [8, 2, 6]) output fortan array from input touple: [[1 3 9] [8 2 6]] 

Code # 3: Scalar to Fortanarra

# Program Python 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) 

Output:

 Input scalar: 15 output fortan array from input scalar: [15.]  

Code # 4: Array in Fortanarray

Output:

 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 

# Python program explaining
# numpy.asfortranarray () function

 

import numpy as geek

 

in_arr = geek.arange ( 9 ). Reshape ( 3 , 3 )

 

print ( "Input array:" , in_arr)

 < / code> 
# check 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) 

  
# check if it has become fortanarray

print (out_arr.flags [ `F_CONTIGUOUS` ])