We can also use the argmin function to calculate the minimum value for a multi dimensional array. The output will be calculate along the axis of the multi dimensional array.
Now, we shall pass the array to the argmin function. Now, we shall try to change the axis values of the argmin function and see how it changes the output. We shall take the same two dimensional array as before. The output will contain an array with the index value of the minimum element for each column of the 2D array. In the first column, between 10 and 5, 5 is minimum.
So, the index value of 5,which is 1, shall be passed. Similarly the index value for the other elements shall be passed too. The output will be an array containing indexes of minimum elements along the row of the two dimensional array. So, in the first row, the minimum element is at position 3 and in the second row, minimum element is at position 0.
I am a little bit confused reading the documentation of argmin function in numpy. It looks like it should do the job:. But instead of this it returns only 3. Where is the catch, or what should I do to get my result? With an axis specified, argmin takes one-dimensional subarrays along the given axis and returns the first index of each subarray's minimum value.
It doesn't return all indices of a single minimum value. See the documentation for numpy. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. The phrasing of the documentation "indices" instead of "index" refers to the multidimensional case when axis is provided. I would like to quickly add that as user grofte mentioned, np. The index [0] is because numpy returns a tuple of your answer and nothing answer as a numpy array.
Don't ask me why. How are we doing? The numpy argmin function takes arr, axis, and out as parameters and returns the array. To find the index of minimum element from the array, we can use the np. The numpy argmin function takes three arguments:. In this program, we have first declared an array with some. Then we have printed the shape size of the array. Then we have called argmin to get the index of the minimum element from the array.
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