numpy.asfortranarray() function is used when we want to convert input to a array which is laid out in Fortran order in memory. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
Syntax : numpy.asfortranarray(arr, dtype=None)
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 to fortranarray
Input list : [1, 3, 5, 7, 9] output fortanarray from input list : [1 3 5 7 9]
Code #2 : Tuple to fortanarray
Input tuple : ([1, 3, 9], [8, 2, 6]) output fortan array from input touple : [[1 3 9] [8 2 6]]
Code #3 : Scalar to fortanarray
Input scalar : 15 output fortan array from input scalar : [ 15.]
Code #4 : array to fortanarray
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
- Important differences between Python 2.x and Python 3.x with examples
- Reading Python File-Like Objects from C | Python
- Python | Merge Python key values to list
- Python | Add Logging to Python Libraries
- Python | Add Logging to a Python Script
- Python | Sort Python Dictionaries by Key or Value
- Python | Set 4 (Dictionary, Keywords in Python)
- pow() in Python
- Python vs PHP
- SHA in Python
- Use of min() and max() in Python
- gcd() in Python
- abs() in Python
- zip() in Python
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.