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NumPy Sorting Arrays


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.

Example

Sort the array:

import numpy as np

arr = np.array([3, 2, 0, 1])

print(np.sort(arr))
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Note: This method returns a copy of the array, leaving the original array unchanged.

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))
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Example

Sort a boolean array:

import numpy as np

arr = np.array([True, False, True])

print(np.sort(arr))
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Sorting a 2-D Array

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

Example

Sort a 2-D array:

import numpy as np

arr = np.array([[3, 2, 4], [5, 0, 1]])

print(np.sort(arr))
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Test Yourself With Exercises

Exercise:

Use the correct NumPy method to return a sorted array.

arr = np.array([3, 2, 0, 1])

x = np.(arr)

Start the Exercise