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
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