numpy.ix_()
function construct an open mesh from multiple sequences. This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions.
Syntax : numpy.ix_(args)
Parameters :
args : [1-D sequences] Each sequence should be of integer or boolean type.
Return : [tuple of ndarrays] N arrays with N dimensions each, with N the number of input sequences. Together these arrays form an open mesh.
Code #1 :
# Python program explaining # numpy.ix_() function # importing numpy as geek import numpy as geek
gfg = geek.ix_([ 0 , 1 ], [ 2 , 4 ])
print (gfg)
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Output :
(array([[0], [1]]), array([[2, 4]]))
Code #2 :
# Python program explaining # numpy.ix_() function # importing numpy as geek import numpy as geek
arr = geek.arange( 10 ).reshape( 2 , 5 )
print ( "Initial array : \n" , arr)
ixgrid = geek.ix_([ 0 , 1 ], [ 2 , 4 ])
print ( "New array : \n" , arr[ixgrid])
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Output :
Initial array : [[0 1 2 3 4] [5 6 7 8 9]] New array : [[2 4] [7 9]]