Parameters dtype str or numpy.dtype, optional. from numpy import unravel_index result = unravel_index(np.max(array_2d),array_2d.shape) print("Index for the Maximum Value in the 2D Array is:",result) Index for the Maximum Value in 2D Array By default, the index Find min value in complete 2D numpy array. Does it take one hour to board a bullet train in China, and if so, why? But for the 2D array, you have to use Numpy module unravel_index. Python’s numpy module provides a function to select elements based on condition. Conclusion. random . Don’t use amax for element-wise comparison of 2 arrays; when a.shape[0] is 2, maximum(a[0], a[1]) is faster than amax(a, axis=0). np.max(np_array_1d) Which produces the following output: 84 This is an extremely simple example, but it illustrates the technique. I found it most intuitive to use np.unique. Example 1: Get Maximum Value of Numpy Array In this example, we will take a numpy array with random numbers and then find the maximum of the array using numpy.max() function. In the first case, we have passed arr and axis=1, which returns an array of size 4 containing indices of all the maximum elements from each row. @AndrewHundt : simply use (-arr).argsort(axis=-1)[:, :n], I think you can simplify the indexing here by using, FWIW, your solution won't provide unambiguous solution in all situations. How do I get indices of N maximum values in a NumPy array? For example, what would the indices (you expect) to be for. (since k being positive or negative works the same for me! Python numpy.where() is an inbuilt function that returns the indices of elements in an input array where the given condition is satisfied. it only prints the smallest numbers first! Then from the max unique value and the indicies, the position of the original values can be recreated. If not, do you perhaps know how? Is it possible to generate an exact 15kHz clock pulse using an Arduino? Go to the editor Sample Output: 8256 Click me to see the sample solution. @FredFoo: why did you use -4? An implementation, however, is not really open to interpretation. In the above program, we have first declared the matrix of size 4×3, and you can see the shape of the matrix also, which is (4,3). Here's a more complicated way that increases n if the nth value has ties: When top_k<

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