NumPy Array Sorting

Array Sorting

Sorting is the process of arranging elements in an ordered sequence.

An ordered sequence is any sequence that has an order corresponding to its elements, such as numbers or letters, in ascending or descending order.

NumPy ndarray objects have a named sort() a function that sorts the specified array.

Sort the array:

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

Running Result:

[0　1　2　3]

You can also sort string arrays or any other data type:

Sort arrays in alphabetical order:

import numpy as np
arr = np.array(['banana', 'cherry', 'apple'])
print(np.sort(arr))

Running Result:

['apple' 'banana' 'cherry']

Sort boolean arrays:

import numpy as np
arr = np.array([True, False, True])
print(np.sort(arr))

Running Result:

[False True True]

For 2-D Array Sorting

If the sort() method is used on a two-dimensional array, the two arrays will be sorted:

Example

For 2-D Array Sorting

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

Running Result:

[[2　3　4]
　[0　1　5]]