numpy.greater() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report 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 scalars. Return : Boolean array indicating results, whether x1 is greater than x2 or not. Code 1 : Python # Python Program illustrating # numpy.greater() method import numpy as geek a = geek.greater([8., 2.], [5., 3.]) print("Not equal : \n", a, "\n") b = geek.greater([2, 2], [[1, 3],[1, 4]]) print("Not equal : \n", b, "\n") a = geek.array([4,2]) b = geek.array([6,2]) print("Is a greater than b : ", a > b) Output : Not equal : [ True False] Not equal : [[ True False] [ True False]] Is a greater than b : [False False] Code 2 : Python # Python Program illustrating # numpy.greater() method import numpy as geek # Here we will compare Float with int values a = geek.array([1.1, 1]) b = geek.array([1, 2]) # indicating 1.1 is greater than 1 print("Comparing float with int : ", a < b) # indicating 1.1 is greater than 1 d = geek.greater(a, b) print("\n Comparing float with int using .greater() : ", d) Output : Comparing float with int : [False True] Comparing float with int using .greater() : [ True False] Code 3 : Python # Python Program illustrating # numpy.greater() method import numpy as geek # Here we will compare Complex values with int a = geek.array([1j,2]) b = geek.array([1,2]) # indicating 1j is greater than 1 print("Comparing complex with int : ", a < b) # indicating 1j is greater than 1 d = geek.greater(a, b) print("\nComparing complex with int using .greater() : ", d) Output : Comparing complex with int : [ True False] Comparing complex with int using .greater() : [False False] Note : These codes won't run on online IDE's. So please, run them on your systems to explore the working. Comment More infoAdvertise with us Next Article numpy.greater() in Python M Mohit Gupta Improve Article Tags : Python Python-numpy Python numpy-Logic Functions Practice Tags : python Similar Reads 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.fmax() in Python numpy.fmax() function is used to compute element-wise maximum of array elements. This function compare two arrays and returns a new array containing the element-wise maxima. If one of the elements being compared is a NaN, then the non-nan element is returned. If both elements are NaNs then the first 2 min read numpy.floor() in Python The numpy.floor() function returns the largest integer less than or equal to each element in the input array. It effectively rounds numbers down to the nearest whole number. Let's understand with an example:Pythonimport numpy as np a = [0.5, 1.5, 2.5, 3, 4.5, 10.1] res = np.floor(a) print("Floored:" 1 min read numpy.fmin() in Python numpy.fmin() function is used to compute element-wise minimum of array elements. This function compare two arrays and returns a new array containing the element-wise minima. If one of the elements being compared is a NaN, then the non-nan element is returned. If both elements are NaNs then the first 2 min read Python | Numpy numpy.ndarray.__ge__() With the help of numpy.ndarray.__ge__() method of Numpy, We can find that which element in an array is greater then or equal to the value which is provided in the parameter. It will return you numpy array with boolean type having only values True and False. Syntax: ndarray.__ge__($self, value, /) Re 1 min read Like