numpy.ix_() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report 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]] Comment More infoAdvertise with us Next Article Introduction to Machine Learning S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy Python numpy-arrayManipulation python Practice Tags : Machine Learningpython Similar Reads Machine Learning Tutorial Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. 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