Home > Notes > Python Numpy

numpy array sort and Filter

Python Numpy

numpy Array (1D and 2’D) creation and operation
numpy array itreating
numpy array join
numpy Array slicing and indexing
numpy array sort and Filter
numpy shape and reshape

numpy array sort and Filter

Sorting Arrays

Sorting means putting elements in an ordered sequence. Ordered sequence is any sequence that has an order corresponding to elements, like numeric or alphabetical, ascending or descending. The NumPy ndarray object has a function called sort(), that will sort a specified array

import numpy as np
 arr = np.array([3, 2, 0, 1])
 print(np.sort(arr))

#  You can also sort arrays of strings, or any other data type:
# Example
#  Sort the array alphabetically:
 import numpy as np
 arr = np.array(['banana', 'cherry', 'apple'])
 print(np.sort(arr))
# Example
#  Sort a boolean array:
import numpy as np
 arr = np.array([True, False, True])
 print(np.sort(arr))

Sorting a 2-D Array

If you use the sort() method on a 2-D array, both arrays will be sorted:

import numpy as np
 arr = np.array([[3, 2, 4], [5, 0, 1]])
 print(np.sort(arr))