With the help of Numpy numpy.choose() method, we can select the elements from an multidimensional array by passing a parameter as an array which contain the index of row number to be selected. Output array having the same size as passed in the parameter.
Syntax :
numpy.choose()Return : Return an array of element choice
Example #1 :
In this example we can see that with the help of numpy.choose() method we are able to extract an array of choices from multidimensional array.
# import the important module in python import numpy as np # make a matrix with numpy gfg = [[1, 2, 3, 4], [3, 1, 5, 6]] # applying numpy.choose() method Lazyroar = np.choose([1, 0, 1, 0], gfg) print(Lazyroar) |
Output:
array([3 2 5 4])
Example #2 :
# import the important module in python import numpy as np # make a matrix with numpy gfg = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] # applying numpy.choose() method Lazyroar = np.choose([2, 0, 1], gfg) print(Lazyroar) |
Output:
array([7 2 6])
