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Finding the Index of Largest Value in a NumPy Array
schedule Mar 5, 2023Last updated
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There are two simple ways to find the index of the largest value in a Numpy array.
The first way is to use the
argmax(~) function of the Numpy array:
x = np.array([3,5,2,1])x.argmax()1
Here, 1 is returned because the largest value (i.e. 5) is located at index 1.
The second way is to use the
argmax(~) static function of the Numpy module:
x = np.array([3,5,2,1])np.argmax(x)1
Published by Isshin Inada
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