WebYou can use an initial value to compute the maximum of an empty slice, or to initialize it to a different value: >>> np . amax ([[ - 50 ], [ 10 ]], axis =- 1 , initial = 0 ) array([ 0, 10]) … WebMar 28, 2024 · maxpos = a.index (max(a)) print "The maximum is at position", maxpos + 1 print "The minimum is at position", minpos + 1 a = [3, 4, 1, 3, 4, 5] minimum (a, len(a)) Output: The maximum is at position 6 The minimum is at position 3 Time complexity of these functions is O (n), as they need to iterate over the entire list once.
torch.max — PyTorch 2.0 documentation
WebJul 18, 2012 · Previous solution. a.index (max (a)) will do the trick. Built-in function max (a) will find the maximum value in your list a, and list function index (v) will find the index of value v in your list. By combining them, you get what you are looking for, in this case the index value 3. Note that .index () will find the index of the first item in ... WebThe NumPy module amax () function returns the maximum value of the numpy array or maximum value along an axis. Syntax numpy.amax (a, axis=None, out=None, keepdims=, initial=, where=) Parameters array: The numpy array in which maximum value need to find. employee lodging deduction
python - How to get the index of a maximum element in …
WebThere is argmin () and argmax () provided by numpy that returns the index of the min and max of a numpy array respectively. import numpy as np a = np.array ( [ [0,2,3], [4,30,1]]) … Webnumpy.argmax(a, axis=None, out=None, *, keepdims=) [source] #. Returns the indices of the maximum values along an axis. Parameters: aarray_like. Input array. … WebJan 22, 2024 · Python NumPy maximum () or max () function is used to get the maximum value (greatest value) of a given array, or compare the two arrays element-wise and returns the maximum values. While comparing, one of the elements of two arrays is a NaN, then that element is returned as NaN. employee login allina