numpy.imag() function - Python

numpy.ix_() function | Python

Last Updated : 22 Apr, 2020

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 :

Python3

# Python program explaining
# numpy.ix_() function

# importing numpy as geek 
import numpy as geek

gfg = geek.ix_([0, 1], [2, 4])

print (gfg)

Output :

(array([[0],
       [1]]), array([[2, 4]]))

Code #2 :

Python3

# 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])

Output :

Initial array : 
 [[0 1 2 3 4]
 [5 6 7 8 9]]
New array : 
 [[2 4]
 [7 9]]

numpy.imag() function - Python

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