WebSep 26, 2024 · Here is one solution (using pandas): Input: import pandas as pd df = pd.DataFrame (a) minvalues = df.groupby ( [0]).min ().reset_index ().values maxvalues = df.groupby ( [0]).max ().reset_index ().values. If you want to keep the min and max values as pandas dataframes, then take out the .values. Output: WebStep 2 – Find the index of the max value Use the Numpy argmax () function to compute the index of the maximum value in the above array. # get index of max value in array …
Numpy argmax. How to compute both max and argmax?
Webnumpy. amax (a, axis=None, out=None, keepdims=, initial=, where=) [source] # Return the maximum of an array or maximum along an axis. ... By default, flattened input is used. New in version 1.7.0. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as ... WebJul 22, 2013 · def maxabs (a, axis=None): """Return slice of a, keeping only those values that are furthest away from 0 along axis""" maxa = a.max (axis=axis) mina = a.min (axis=axis) p = abs (maxa) > abs (mina) # bool, or indices where +ve values win n = abs (mina) > abs (maxa) # bool, or indices where -ve values win if axis == None: if p: return … how to craft varunada lazurite fragment
find the maximum value and its index in an numpy array
WebJun 18, 2024 · in matlab [val,I]=max(v), val = "maximum value" and I = "index number" witch v is a 1x12 double. how could I implement this array in numpy? also, I try this : import numpy as np v = np.empty([v_size,1]) for j in range(1,v_size): x1 = int(tmp[j - 1, 0]) x2 = int(tmp[j - 1, 1]) x3 = int(tmp[j + 1, 0]) x4 = int(tmp[j + 1, 1]) v[j] = image[x1, x2 ... Webnumpy.argmax(a, axis=None, out=None, *, keepdims=) [source] # Returns the indices of the maximum values along an axis. Parameters: aarray_like Input array. axisint, optional By default, the index is into the flattened array, otherwise along the specified … numpy.argwhere# numpy. argwhere (a) [source] # Find the indices of array … numpy.argpartition# numpy. argpartition (a, kth, axis =-1, kind = 'introselect', order = … Note. When only condition is provided, this function is a shorthand for … Random sampling (numpy.random)#Numpy’s random … numpy.partition# numpy. partition (a, kth, axis =-1, kind = 'introselect', order = … A universal function (or ufunc for short) is a function that operates on ndarrays in an … WebJan 7, 2012 · numpy.argmax only returns the index of the first occurrence. You could apply argmax to a reversed view of the array: import numpy as np a = np.array ( [0,0,4,4,4,4,2,2,2,2]) b = a [::-1] i = len (b) - np.argmax (b) - 1 i … how to craft ultimate armor minecraft