numpy.tril_indices() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. Syntax : numpy.tril_indices(n, k = 0, m = None) Parameters : n : [int] The row dimension of the arrays for which the returned indices will be valid. k : [int, optional] Diagonal offset. m : [int, optional] The column dimension of the arrays for which the returned arrays will be valid. By default m is taken equal to n. Return : [tuple of arrays] The indices for the triangle. The returned tuple contains two arrays, each with the indices along one dimension of the array. Code #1 : Python3 # Python program explaining # numpy.tril_indices() function # importing numpy as geek import numpy as geek gfg = geek.tril_indices(3) print (gfg) Output : (array([0, 1, 1, 2, 2, 2]), array([0, 0, 1, 0, 1, 2])) Code #2 : Python3 # Python program explaining # numpy.tril_indices() function # importing numpy as geek import numpy as geek gfg = geek.tril_indices(3, 2) print (gfg) Output : (array([0, 0, 0, 1, 1, 1, 2, 2, 2]), array([0, 1, 2, 0, 1, 2, 0, 1, 2])) 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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