WebJan 10, 2024 · Answers (1) To find the local max, you can use imdilate () in the Image Processing Toolbox. I'm also confused like the others about how the problem is phrased. If you want want to then mask it to get the local max only at the A = 1 locations and have it zero where A=0, then you can mask the local max output: WebMay 29, 2024 · to find the maximum value of a 2D array (which is the question), but instead, you're returning an object Location. I can understand where you got the class …
How do I find the indices of the maximum (or minimum) value …
WebOct 26, 2024 · Approach: The idea is to traverse the matrix using two nested loops, one for rows and one for columns, and find the maximum element. Initialize a variable … WebMaximum value in array D is: 70.7107 The subscript of the maximum value is 5050 Example 2 To convert I to a two-dimensional subscript, use the commands: IX = I MOD 100 IY = I/ 100 PRINT, 'The maximum value of D is at location (' + STRTRIM (IX, 1) $ + ', ' + STRTRIM (IY, 1) + ')' IDL Output The maximum value of D is at location ( 50, 50) Syntax blackrock fixed income mutual funds
Finding the minimum and maximum of a 3x3, 2D-array - c++
WebIf A is an empty array whose first dimension has zero length, then max (A) returns an empty array with the same size as A. example M = max (A, [],dim) returns the maximum … WebAug 13, 2024 · maximum element in the array is: 81 minimum element in the array is: 2 Example 3: Now, if we want to find the maximum or minimum from the rows or the columns then we have to add 0 or 1. See how it works: maximum_element = numpy.max (arr, 0) maximum_element = numpy.max (arr, 1) WebTo find maximum value from complete 2D numpy array we will not pass axis in numpy.amax () i.e. Copy to clipboard # Get the maximum value from complete 2D numpy array maxValue = numpy.amax(arr2D) It will return the maximum value from complete 2D numpy arrays i.e. in all rows and columns. Copy to clipboard 17 blackrock floating rate income k