Sometimes, we want to get indices of N maximum values in a Python NumPy array.
In this article, we’ll look at how to get indices of N maximum values in a Python NumPy array.
How to get indices of N maximum values in a Python NumPy array?
To get indices of N maximum values in a Python NumPy array, we can use the np.argpartition method.
For instance, we write
a = np.array([9, 4, 4, 3, 3, 9, 0, 4, 6, 0])
ind = np.argpartition(a, -4)[-4:]
to create the a numpy array with
a = np.array([9, 4, 4, 3, 3, 9, 0, 4, 6, 0])
Then we call argpartition with the array a and -4 to get the indices of the top 4 elements from sorted by value at the given index ascending with
np.argpartition(a, -4)[-4:]
Conclusion
To get indices of N maximum values in a Python NumPy array, we can use the np.argpartition method.
