numpy.less_equal() in Python Last Updated : 08 Mar, 2024 Summarize Suggest changes Share Like Article Like Report The numpy.less_equal() function checks whether x1 is <= x2 or not. Syntax : numpy.less_equal(x1, x2[, out]) Parameters : x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape out : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are scalars. Return : Boolean array indicating results, whether x1 is lesser than x2 or not. Code 1 : Python # Python Program illustrating # numpy.less_equal() method import numpy as geek a = geek.less_equal([8., 2.], [5., 3.]) print("less_equal() : \n", a, "\n") b = geek.less_equal([2, 2], [[1, 3],[1, 4]]) print("less_equal() : \n", b, "\n") a = geek.array([4,3]) b = geek.array([6,2]) print("Is a less_equal than b : ", a <= b) Output : less_equal() : [False True] less_equal() : [[False True] [False True]] Is a less_equaler than b : [ True False] Code 2 : Python # Python Program illustrating # numpy.less_equal() method import numpy as geek # Here we will compare Complex values with the a = geek.array([100j,7]) b = geek.array([1,2]) print("Comparing complex with int : ", a <= b) d = geek.less_equal(a, b) print("\n Comparing complex with int .less_equal() : ", d) Output : Comparing complex with int : [ True False] Comparing complex with int .less_equal() : [ True False] Code 3 : Python # Python Program illustrating # numpy.less_equal() method import numpy as geek # Here we will compare Float with int values a = geek.array([1.1, 1]) b = geek.array([1, 2]) print("Comparing float with int : ", a <= b) d = geek.less_equal(a, b) print("\n Comparing float with int using .less_equal() : ", d) Output : Comparing float with int : [False True] Comparing float with int using .less_equal() : [False True] Note : These codes won’t run on online-ID. Please run them on your systems to explore the working. Advertise with us Next Article numpy.greater_equal() in Python M Mohit Gupta Similar Reads numpy.less() in Python The numpy.less() : checks whether x1 is lesser than x2 or not. Syntax : numpy.less(x1, x2[, out]) Parameters : x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape out : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are scalars. R 2 min read numpy.not_equal() in Python The numpy.not_equal() checks whether two element are unequal or not. Syntax : numpy.not_equal(x1, x2[, out])Parameters : x1, x2 : [array_like]Input Array whose elements we want to checkout : [ndarray, optional]Output array that returns True/False. A placeholder the same shape as x1 to store the resu 2 min read numpy.array_equal() in Python numpy.array_equal(arr1, arr2) : This logical function that checks if two arrays have the same shape and elements. Parameters : arr1 : [array_like]Input array or object whose elements, we need to test. arr2 : [array_like]Input array or object whose elements, we need to test. Return : True, if both ar 1 min read numpy.greater_equal() in Python The numpy.greater_equal() checks whether x1 >= x2 or not. Syntax : numpy.greater_equal(x1, x2[, out]) Parameters : x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape out : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are sca 2 min read numpy.greater() in Python The numpy.greater() checks whether x1 is greater than x2 or not. Syntax : numpy.greater(x1, x2[, out]) Parameters : x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape out : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are scala 2 min read numpy.allclose() in Python numpy.allclose() function is used to find if two arrays are element-wise equal within a tolerance. The tolerance values are positive, typically very small numbers. The relative difference (rtol * abs(arr2)) and the absolute difference atol are added together to compare against the absolute differenc 4 min read Article Tags : Python Python-numpy Python numpy-Logic Functions Practice Tags : python Like