numpy.fromfunction() function construct an array by executing a function over each coordinate and the resulting array, therefore, has a value fn(x, y, z) at coordinate (x, y, z).
Syntax : numpy.fromfunction(function, shape, dtype)
Parameters :
function : [callable] The function is called with N parameters, where N is the rank of shape. Each parameter represents the coordinates of the array varying along a specific axis.
shape : [(N, ) tuple of ints] Shape of the output array, which also determines the shape of the coordinate arrays passed to function.
dtype : [data-type, optional] Data-type of the coordinate arrays passed to function.
Return : The output array.
Code #1 :
Python3
# Python program explaining # numpy.fromfunction() function # importing numpy as geek import numpy as geek gfg = geek.fromfunction(lambda i, j: i * j, (4, 4), dtype = float) print(gfg) |
Output :
[[0. 0. 0. 0.]
[0. 1. 2. 3.]
[0. 2. 4. 6.]
[0. 3. 6. 9.]]
Code #2 :
Python3
# Python program explaining # numpy.fromfunction() function # importing numpy as geek import numpy as geek gfg = geek.fromfunction(lambda i, j: i == j, (3, 3), dtype = int) print(gfg) |
Output :
[[ True False False]
[False True False]
[False False True]]
