Can someone provide different methods to identify the ‘n’ largest values using NumPy exclusively? I’m encountering challenges in implementing this functionality, and the only approach I’m familiar with involves using a Python for loop to extract the ‘nth’ largest value, which is inefficient. I’d appreciate any guidance on achieving this efficiently with NumPy.
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Hello @safiaa.02, if you want to find the n
largest values in a NumPy array using NumPy, you can use the np.sort()
function along with array slicing. Here is an example code that finds the 3
largest values in an array:
 The
np.sort()
function sorts the array in ascending order by default.  To get the largest values, the code reverses the sorted array using the
[::1]
slicing syntax.  Finally, the first
n
elements of the reversed array are selected to get then
largest values.
I hope this code helps!
If you want to find the n
largest values from a NumPy array, Here’s a concise method to discover and display the n
largest values in ascending order.

np.partition(arr, n)
: This part uses NumPy’spartition
function to partition the arrayarr
. The argumentn
indicates that the lastn
elements in the partitioned array will be then
largest elements, and the rest will be on the left. It performs an efficient partial sort. 
[n:]
: This part is a slicing operation. It extracts the lastn
elements from the result of the partition, effectively giving us then
largest values from the original array.  In this way we can get
n
largest values from an array in ascending order.