Numpy Sorting Arrays in Python

In NumPy, you can sort arrays in a variety of ways using the np.sort() function or the sort() method of an array object.
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Here are some examples of how to use NumPy to sort arrays:

Sort a 1D array in ascending order:

import numpy as np

a = np.array([3, 1, 4, 1, 5, 9, 2, 6, 5])
a_sorted = np.sort(a)
print(a_sorted)
Output:

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[1 1 2 3 4 5 5 6 9]
Sort a 2D array by row:

import numpy as np

a = np.array([[3, 1, 4], [1, 5, 9], [2, 6, 5]])
a_sorted_by_row = np.sort(a, axis=1)
print(a_sorted_by_row)
Output:


[[1 3 4]
[1 5 9]
[2 5 6]]
Sort a 2D array by column:

import numpy as np

a = np.array([[3, 1, 4], [1, 5, 9], [2, 6, 5]])
a_sorted_by_column = np.sort(a, axis=0)
print(a_sorted_by_column)
Output:

[[1 1 4]
[2 5 5]
[3 6 9]]
Sort an array in descending order:

import numpy as np

a = np.array([3, 1, 4, 1, 5, 9, 2, 6, 5])
a_sorted_descending = np.sort(a)[::-1]
print(a_sorted_descending)
Output:


[9 6 5 5 4 3 2 1 1]
Note that [::-1] is used to reverse the order of the sorted array.

These are just a few examples of how to sort arrays in NumPy. The np.sort() function and the sort() method have many more options and parameters that can be used to customize the sorting behavior.#numpy sort#numpy sort array by column#apply filter on numpy array#argsort#argsort vs sort#numpy argsort#numpy array visualization#numpy sort array by row#numpy sort two dimensional array#numpy sorting#numpy sorting arrays#stack overflow#numpy sort vs argsort#argsort vs lexsort#numpy argsort vs sort