Trusted answers to developer questions
How to rank items in an array using NumPy
Shreya mattegunta
NumPy is an open-source Python library used for working with arrays. In 2005, Travis Oliphant created NumPy. To import NumPy, we use the function:
import numpy or
import numpy as np
How to rank items in an array using NumPy
To rank items in NumPy, we can use a special method called numpy.argsort().
In the numpy.argsort() method, indices are used to sort arrays in NumPy.
Code
In the example below, the NumPy array is ranked using the argsort() method.
import numpy as np array = np.array([1,28,14,25,9,3]) temp = array.argsort() ranks = np.empty_like(temp) ranks[temp] = np.arange(len(array)) print(array) print(ranks)
The ranks[temp] = np.arange(len(array)) function is used to rank every element in the array. np.array() is used to create our array.
import numpy as np array = np.array([2,6,5,3,8]) temp = array.argsort() ranks = np.empty_like(temp) ranks[temp] = np.arange(len(array)) print(array) print(ranks)
RELATED TAGS
numpy
communitycreator
python
CONTRIBUTOR
Shreya mattegunta
RELATED COURSES
View all Courses
Keep Exploring
Related Courses
