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# Python Data Science NumPy Sorting Arrays

Sorting Arrays

Putting elements in an ordered sequence means Sorting.

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 1: Sort the array

code

import numpy as np

arr = np.array([13, 12, 10, 11])

print(np.sort(arr))

the output will be

[10 11 12 13]

You can also sort arrays of strings, or any other data type.

Example 2: Sort the array alphabetically.

code

import numpy as np

arr = np.array(['orange', 'grapes', 'apple'])

print(np.sort(arr))

the output will be

['apple' 'grapes' 'orange']

Example 3: Sort a boolean array.

Code

import numpy as np

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

print(np.sort(arr))

the output will be

[False True True]

Sorting a 2-D Array

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

Example 4: Sort a 2-D array.

Code

import numpy as np

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

print(np.sort(arr))

the output will be

[[2 3 4]
[0 1 5]]