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.
Get Maximum Value in Array – Python Numpy
WebThe maximum value along a given axis. unravel_index Convert a flat index into an index tuple. take_along_axis Apply np.expand_dims (index_array, axis) from argmax to an array as if by calling max. Notes In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. Examples 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. medieval times coupon code myrtle beach
Get index of max value in numpy array python - Find max value …
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]]) … WebAug 2, 2011 · NumPy proposes a way to get the index of the maximum value of an array via np.argmax. I would like a similar thing, but returning the indexes of the N maximum values. ... because normal python lists do not support indexing by lists, unlike np.array – Marawan Okasha. ... max_values = df['array'].sort_values(ascending=False, … 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]) … naga munchetty where is she