How to get the n-largest values of an array using NumPy? Last Updated : 29 Aug, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report Let's see the program for how to get the n-largest values of an array using NumPy library. For getting n-largest values from a NumPy array we have to first sort the NumPy array using numpy.argsort() function of NumPy then applying slicing concept with negative indexing. Syntax: numpy.argsort(arr, axis=-1, kind=’quicksort’, order=None) Return: [index_array, ndarray] Array of indices that sort arr along the specified axis.If arr is one-dimensional then arr[index_array] returns a sorted arr. Let's see an example: Example 1: Getting the 1st largest value from a NumPy array. Python3 # import library import numpy as np # create numpy 1d-array arr = np.array([2, 0, 1, 5, 4, 1, 9]) print("Given array:", arr) # sort an array in # ascending order # np.argsort() return # array of indices for # sorted array sorted_index_array = np.argsort(arr) # sorted array sorted_array = arr[sorted_index_array] print("Sorted array:", sorted_array) # we want 1 largest value n = 1 # we are using negative # indexing concept # take n largest value rslt = sorted_array[-n : ] # show the output print("{} largest value:".format(n), rslt[0]) Output: Given array: [2 0 1 5 4 1 9] Sorted array: [0 1 1 2 4 5 9] 1 largest value: 9 Example 2: Getting the 3-largest values from a NumPy array. Python3 # import library import numpy as np # create numpy 1d-array arr = np.array([2, 0, 1, 5, 4, 1, 9]) print("Given array:", arr) # sort an array in # ascending order # np.argsort() return # array of indices for # sorted array sorted_index_array = np.argsort(arr) # sorted array sorted_array = arr[sorted_index_array] print("Sorted array:", sorted_array) # we want 3 largest value n = 3 # we are using negative # indexing concept # find n largest value rslt = sorted_array[-n : ] # show the output print("{} largest value:".format(n), rslt) Output: Given array: [2 0 1 5 4 1 9] Sorted array: [0 1 1 2 4 5 9] 3 largest value: [4 5 9] Comment More infoAdvertise with us Next Article Find the most frequent value in a NumPy array A ankthon Follow Improve Article Tags : Python Python-numpy Python numpy-program Python numpy-Mathematical Function Practice Tags : python Similar Reads How to find the Index of value in Numpy Array ? In this article, we are going to find the index of the elements present in a Numpy array.Using where() Methodwhere() method is used to specify the index of a particular element specified in the condition.Syntax: numpy.where(condition[, x, y])Example 1: Get index positions of a given valueHere, we fi 5 min read How to get the indices of the sorted array using NumPy in Python? We can get the indices of the sorted elements of a given array with the help of argsort() method. This function is used to perform an indirect sort along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as arr that would sort the arra 2 min read How to calculate the element-wise absolute value of NumPy array? Let's see the program for finding the element-wise absolute value of NumPy array. For doing this task we are using numpy.absolute() function of NumPy library. This mathematical function helps to calculate the absolute value of each element in the array. Syntax: numpy.absolute(arr, out = None, ufunc 2 min read How to Calculate the Mode of NumPy Array? The goal here is to calculate the mode of a NumPy array, which refers to identifying the most frequent value in the array. For example, given the array [1, 1, 2, 2, 2, 3, 4, 5], the mode is 2, as it appears most frequently. Let's explore different approaches to accomplish this. Using scipy.stats.mod 2 min read Find the most frequent value in a NumPy array In this article, let's discuss how to find the most frequent value in the NumPy array. Steps to find the most frequency value in a NumPy array: Create a NumPy array.Apply bincount() method of NumPy to get the count of occurrences of each element in the array.The n, apply argmax() method to get the 1 min read Finding the k smallest values of a NumPy array In this article, let us see how to find the k number of the smallest values from a NumPy array. Examples: Input: [1,3,5,2,4,6] k = 3 Output: [1,2,3] Method 1: Using np.sort() . Approach: Create a NumPy array.Determine the value of k.Sort the array in ascending order using the sort() method.Print th 2 min read Like